What can Supabase do?

mcp-standardized supabase management api tool exposure, database schema introspection and postgrest api exposure, feature group-based capability gating with scope validation, monorepo architecture with shared utilities and independent server packages, oauth 2.1 dynamic client registration for secure hosted deployment, account and project lifecycle management via mcp tools, edge function deployment and invocation via mcp, database branching and preview environment management, storage bucket and file management via mcp, real-time database change subscriptions via mcp, authentication and user management via mcp, development and debugging tools with mock system, multi-transport mcp server with http, stdio, and sse support

Supabase

MCP ServerFree

** - Connects to Supabase platform for database, auth, edge functions and more.

Open Source

/ 100

13 capabilities

Capabilities13 decomposed

mcp-standardized supabase management api tool exposure

Medium confidence

Exposes Supabase Management API operations as standardized MCP tools that any MCP-compatible client (Claude Desktop, Cursor, VS Code Copilot, Windsurf) can discover and invoke. Uses a platform abstraction layer that maps Supabase API endpoints to typed MCP tool schemas, enabling LLMs to call account management, database, auth, and edge function operations through a unified protocol rather than custom integrations per client.

Solves for

Connect my AI assistant to Supabase without writing custom API client codeLet Claude or Cursor manage my Supabase projects programmaticallyExpose Supabase operations as discoverable tools in my MCP-compatible IDE

Best for

Teams using Claude Desktop, Cursor, or VS Code with Copilot who want native Supabase integration

Developers building LLM agents that need to manage Supabase infrastructure

Organizations standardizing on MCP for AI tool discovery across multiple services

Requires

MCP-compatible client (Claude Desktop, Cursor 0.42+, VS Code with Copilot extension)

Supabase account with Management API access

Network connectivity to https://mcp.supabase.com/mcp or self-hosted MCP endpoint

Limitations

Requires MCP-compatible client — not compatible with ChatGPT, Gemini, or other non-MCP AI platforms

Authentication via OAuth 2.1 Dynamic Client Registration adds initial setup complexity vs API key auth

Tool discovery is static at connection time — adding new Supabase features requires server restart

What makes it unique

Implements Model Context Protocol as the integration layer instead of custom SDK bindings, allowing a single server to work with any MCP-compatible client without per-client adapters. Uses platform abstraction layer pattern to decouple Supabase API specifics from MCP tool schema generation.

vs alternatives

Eliminates need for custom Supabase integrations in each AI platform (Claude, Cursor, etc.) by standardizing on MCP; competitors like Vercel or Firebase lack MCP servers, requiring bespoke integrations per client.

database schema introspection and postgrest api exposure

Medium confidence

Automatically introspects PostgreSQL schema from Supabase and exposes tables, views, and functions as queryable MCP tools via PostgREST API. The mcp-server-postgrest package wraps PostgREST endpoints with schema awareness, enabling LLMs to discover available tables, generate type-safe queries, and execute CRUD operations without manual schema documentation or hardcoded table names.

Solves for

Let Claude query my Supabase database without writing SQL manuallyAutomatically discover available tables and columns for LLM-driven data operationsGenerate and execute type-safe database queries from natural language

Best for

Developers building LLM agents that need read/write database access

Teams wanting natural language database querying without SQL expertise

Rapid prototyping scenarios where schema changes are frequent

Requires

Supabase project with PostgREST API enabled

PostgreSQL tables or views with proper permissions

PostgREST endpoint URL and authentication token

Limitations

PostgREST has query complexity limits — deeply nested joins or large result sets may timeout

Schema introspection is cached at server startup; schema changes require server restart to reflect in tool discovery

Row-level security (RLS) policies are enforced but not exposed to LLM — policies must be pre-configured correctly

What makes it unique

Separates PostgREST integration into its own MCP server package (@supabase/mcp-server-postgrest) with independent schema caching and query translation, allowing fine-grained control over database access patterns separate from Management API operations. Uses schema introspection to dynamically generate MCP tool schemas rather than static tool definitions.

vs alternatives

Provides automatic schema discovery and type-safe query generation that competitors like Prisma or Drizzle don't expose via MCP; most database integrations require manual schema documentation or hardcoded queries.

feature group-based capability gating with scope validation

Medium confidence

Implements conditional tool exposure based on API token scopes and feature availability, using a feature groups pattern that gates tools by authentication level and Supabase plan. Validates Management API token scopes at server initialization and dynamically enables/disables tool groups (account management, branching, edge functions) based on available permissions, preventing unauthorized operations and providing clear error messages when tools are unavailable.

Solves for

Prevent unauthorized operations by gating tools based on API token scopesAutomatically disable tools that require paid features on free-tier projectsProvide clear feedback when tools are unavailable due to permissions or plan limits

Best for

Multi-tenant platforms where different users have different Supabase permissions

Organizations with strict access control requirements

Teams managing both free-tier and paid Supabase projects

Requires

Valid Management API token with appropriate scopes

Supabase project with known plan tier

Limitations

Scope validation happens at server startup; token scope changes require server restart

Feature availability is determined by Supabase plan; plan downgrades are not detected in real-time

Tool gating is all-or-nothing; cannot partially enable tools with reduced functionality

What makes it unique

Implements feature groups as a first-class concept in the MCP server, validating scopes at initialization and dynamically exposing tools based on permissions. Uses declarative feature group definitions that map API scopes to tool availability, enabling clear separation of concerns between authorization and tool implementation.

vs alternatives

Provides built-in scope validation that competitors don't offer; most API integrations require manual authorization checks in client code, while this centralizes authorization in the server and prevents unauthorized tool exposure.

monorepo architecture with shared utilities and independent server packages

Medium confidence

Organizes Supabase MCP as a TypeScript monorepo using pnpm workspaces, with @supabase/mcp-utils providing shared abstractions (platform interface, types, error handling) and independent server packages (@supabase/mcp-server-supabase, @supabase/mcp-server-postgrest) that depend on utilities but can be deployed separately. Enables code reuse across servers while maintaining independent versioning and deployment cycles, using Biome for consistent linting and formatting across packages.

Solves for

Reuse common MCP patterns and abstractions across multiple Supabase serversDeploy Management API and PostgREST servers independently with separate versioningMaintain consistent code quality and formatting across multiple packages

Best for

Teams building multiple MCP servers that share common patterns

Organizations wanting to deploy servers independently based on use case

Projects requiring strict code quality and consistency standards

Requires

pnpm 8+ for workspace management

Node.js 18+ for building and testing

Understanding of monorepo patterns and workspace dependencies

Limitations

Monorepo adds complexity to build and deployment pipelines

Shared utilities create tight coupling between servers; breaking changes require coordinated updates

pnpm workspace filtering requires understanding of package dependencies

What makes it unique

Uses monorepo structure to separate concerns between shared utilities (@supabase/mcp-utils) and server implementations, allowing independent deployment while maintaining code reuse. Implements platform abstraction layer in utilities that both servers depend on, enabling consistent API handling across different Supabase interfaces.

vs alternatives

Provides cleaner separation of concerns than single-package approaches; competitors typically bundle all functionality in one package, making it harder to reuse patterns or deploy selectively.

oauth 2.1 dynamic client registration for secure hosted deployment

Medium confidence

Implements OAuth 2.1 Dynamic Client Registration protocol for the hosted HTTP endpoint (mcp.supabase.com/mcp), enabling clients to register dynamically without pre-shared credentials. Uses standard OAuth flows to issue access tokens scoped to specific Supabase projects, eliminating the need to distribute API keys and enabling revocation and audit trails for all client connections.

Solves for

Connect to hosted Supabase MCP server without managing API keysRevoke client access without rotating shared credentialsAudit which clients are accessing Supabase via MCP

Best for

Cloud-based AI assistants (Claude Desktop, Cursor) connecting to hosted MCP endpoint

Organizations with strict credential management policies

Multi-user environments where per-user access control is required

Requires

OAuth 2.1 compatible client (Claude Desktop, Cursor, etc.)

Supabase account with OAuth provider configured

Network connectivity to OAuth authorization endpoint

Limitations

OAuth setup adds complexity compared to simple API key authentication

Dynamic registration requires user interaction (OAuth consent flow) on first connection

Token refresh is automatic but requires persistent storage of refresh tokens

What makes it unique

Implements OAuth 2.1 Dynamic Client Registration as the primary authentication mechanism for hosted deployment, eliminating static API key distribution. Uses standard OAuth flows that integrate with existing identity providers, enabling enterprise-grade access control without custom credential management.

vs alternatives

Provides more secure credential management than static API keys; competitors typically require pre-shared credentials, while this uses standard OAuth flows with automatic token refresh and revocation support.

account and project lifecycle management via mcp tools

Medium confidence

Exposes Supabase account operations (project creation, deletion, configuration, billing) as MCP tools, enabling LLMs to programmatically manage Supabase infrastructure. Implements account management tools that wrap the Supabase Management API with proper error handling, validation, and cost tracking awareness, allowing AI agents to create projects, manage team members, and monitor usage without manual dashboard access.

Solves for

Automate Supabase project provisioning in response to user requestsLet an AI agent manage team members and project access controlsMonitor project costs and usage metrics programmatically

Best for

Platform teams building multi-tenant SaaS with Supabase backends

DevOps engineers automating infrastructure provisioning workflows

Startups using AI agents to manage development and production environments

Requires

Supabase account with Management API access

Management API token with appropriate scopes (project:create, project:delete, etc.)

Proper IAM/RBAC setup to prevent unauthorized operations

Limitations

Requires Management API access token with appropriate scopes — not all team members have these permissions

Project creation is asynchronous; tool returns immediately but provisioning takes 30-60 seconds

Billing operations are read-only via MCP tools — cost management is informational, not preventive

What makes it unique

Implements account management as a separate tool category within the MCP server, with dedicated error handling for async operations (project creation) and cost awareness features that track usage impact. Uses feature groups pattern to conditionally expose account tools based on API token scopes.

vs alternatives

Provides MCP-native account management that Terraform or Pulumi don't offer; infrastructure-as-code tools require manual state management, while this integrates directly with AI agent decision-making.

edge function deployment and invocation via mcp

Medium confidence

Exposes Supabase Edge Functions (serverless TypeScript/JavaScript functions) as deployable and invocable MCP tools. Enables LLMs to deploy new edge functions, update existing ones, and trigger them with parameters, using a tool architecture that abstracts function deployment complexity and provides execution result streaming back to the AI agent.

Solves for

Deploy new serverless functions to Supabase without leaving my AI assistantInvoke edge functions with parameters and get results back in the conversationUpdate function code and redeploy in response to user feedback

Best for

AI-assisted development workflows where agents generate and deploy serverless code

Rapid prototyping of backend logic without manual deployment steps

Teams building AI agents that need to extend their capabilities with custom functions

Requires

Supabase project with Edge Functions enabled

Management API token with function deployment scope

Valid TypeScript/JavaScript function code

Limitations

Function code must be valid TypeScript/JavaScript — no syntax validation before deployment, errors only appear at runtime

Deployment takes 10-30 seconds; tool returns immediately but function may not be ready for invocation

Environment variables and secrets must be pre-configured in Supabase dashboard — not exposed via MCP for security

What makes it unique

Treats edge function deployment as a first-class MCP tool operation, allowing LLMs to generate, deploy, and invoke functions in a single workflow without context switching. Implements async deployment tracking with polling to handle the gap between deployment initiation and function readiness.

vs alternatives

Provides MCP-native serverless function management that AWS Lambda or Google Cloud Functions don't expose; competitors require separate CLI or SDK calls, while this integrates function lifecycle into the AI agent's tool set.

database branching and preview environment management

Medium confidence

Exposes Supabase database branching capabilities as MCP tools, enabling LLMs to create isolated database branches for testing, run migrations, and promote changes back to production. Implements branching tools that manage the full lifecycle of preview environments, including schema synchronization and data seeding, allowing AI agents to safely test database changes without affecting production.

Solves for

Create isolated database branches for testing schema changes before productionRun database migrations in preview environments and validate resultsPromote tested changes from preview branches back to production

Best for

Teams with strict change management requirements wanting AI-assisted testing

Development teams using database branching for parallel feature development

Organizations needing audit trails of schema changes and migrations

Requires

Supabase Pro plan or higher with database branching enabled

Management API token with branching scope

Valid SQL migration scripts

Limitations

Database branching is a paid Supabase feature — not available on free tier

Branch creation takes 2-5 minutes; tool returns immediately but branch is not ready for queries until provisioning completes

Data seeding must be done via SQL scripts — no direct data copy from production for privacy/compliance reasons

What makes it unique

Implements branching as a workflow-aware tool set that tracks branch lifecycle (creation, migration, promotion) rather than individual operations. Uses async polling to handle long-running branch provisioning and provides conflict detection during promotion to prevent data loss.

vs alternatives

Provides MCP-native database branching that traditional migration tools (Flyway, Liquibase) don't support; competitors lack preview environment integration, requiring manual environment setup for testing.

storage bucket and file management via mcp

Medium confidence

Exposes Supabase Storage operations (bucket creation, file upload/download, access control) as MCP tools, enabling LLMs to manage files and configure storage policies. Implements storage tools that abstract S3-compatible API complexity, providing high-level operations for uploading files, generating signed URLs, and managing bucket policies without requiring direct S3 API knowledge.

Solves for

Upload files to Supabase Storage from AI-generated content or user uploadsGenerate signed URLs for temporary file access without exposing storage credentialsCreate and configure storage buckets with appropriate access policies

Best for

AI agents that generate or process files (images, documents, videos) and need persistent storage

Applications with user-generated content requiring secure, scalable file storage

Teams building multi-tenant systems with per-tenant storage isolation

Requires

Supabase project with Storage enabled

Management API token with storage scope

File content (binary or text)

Limitations

File uploads via MCP are limited to reasonable sizes (typically <100MB) — large file uploads should use direct S3 endpoints

Signed URLs have configurable expiration but cannot be revoked once generated — URL sharing is permanent until expiration

Storage policies are bucket-level; row-level file access control requires application-level logic

What makes it unique

Abstracts S3-compatible API into high-level MCP tools that hide bucket/key complexity, providing intuitive file operations (upload, download, share) rather than exposing raw S3 semantics. Implements signed URL generation as a first-class operation for secure temporary access without credentials.

vs alternatives

Provides MCP-native storage management that AWS S3 SDK doesn't expose; competitors require direct S3 API calls, while this integrates file operations into the AI agent's tool set with Supabase-specific access control.

real-time database change subscriptions via mcp

Medium confidence

Exposes Supabase Realtime subscriptions as MCP tools, enabling LLMs to subscribe to database changes (INSERT, UPDATE, DELETE) and receive notifications when data changes. Implements subscription tools that manage WebSocket connections to Supabase Realtime, filtering changes by table and row criteria, and streaming updates back to the AI agent for reactive workflows.

Solves for

Subscribe to database changes and trigger AI agent actions when specific data updatesMonitor table changes in real-time without pollingBuild reactive workflows that respond to user actions in the database

Best for

AI agents that need to react to real-time data changes

Collaborative applications where multiple users modify shared data

Monitoring and alerting systems that need instant notifications

Requires

Supabase project with Realtime enabled

WebSocket connectivity to Supabase Realtime endpoint

Row-level security policies configured for subscription filtering

Limitations

Realtime subscriptions require persistent WebSocket connections — not suitable for stateless serverless functions

Change notifications are fire-and-forget; if the agent misses an update, there's no replay mechanism

Subscription filtering is limited to table and row-level criteria — complex business logic filtering must be done in the agent

What makes it unique

Implements Realtime subscriptions as MCP tools that manage WebSocket lifecycle and event streaming, abstracting connection management from the AI agent. Uses event filtering at the Supabase level to reduce network traffic and agent processing overhead.

vs alternatives

Provides MCP-native real-time subscriptions that traditional REST APIs don't support; competitors require custom WebSocket handling, while this integrates change notifications into the agent's tool set with automatic connection management.

authentication and user management via mcp

Medium confidence

Exposes Supabase Auth operations (user creation, password reset, session management, MFA configuration) as MCP tools, enabling LLMs to manage user accounts and authentication policies. Implements auth tools that wrap Supabase Auth API with security-aware operations, including session validation, token refresh, and MFA enrollment, allowing AI agents to handle user lifecycle management without direct access to password hashes.

Solves for

Create new user accounts programmatically with email verificationReset user passwords and manage session tokensEnable multi-factor authentication for user accounts

Best for

AI-assisted user onboarding workflows

Support agents using AI to manage user account issues

Applications with complex authentication requirements (MFA, SSO)

Requires

Supabase project with Auth enabled

Management API token with auth scope

Email service configured for verification and reset emails

Limitations

Password reset tokens are time-limited (typically 1 hour) — tool must be invoked quickly or token expires

MFA enrollment requires user interaction (scanning QR code, confirming code) — cannot be fully automated

Session tokens are opaque to the agent — cannot inspect or modify token claims

What makes it unique

Implements auth operations with security-first design, never exposing password hashes or raw secrets to the agent, and requiring explicit confirmation for destructive operations (password reset). Uses token-based operations to maintain session security without long-lived credentials.

vs alternatives

Provides MCP-native auth management that Auth0 or Firebase Auth don't expose via MCP; competitors require custom integrations, while this integrates user lifecycle into the agent's tool set with built-in security guardrails.

development and debugging tools with mock system

Medium confidence

Provides MCP tools for local development and testing, including a mock system that simulates Supabase API responses without requiring a live Supabase project. Implements development tools that enable testing MCP client integrations, validating tool schemas, and debugging agent workflows in isolation, using a configurable mock platform that returns realistic responses for all Supabase operations.

Solves for

Test MCP client integration without a live Supabase projectDebug AI agent workflows locally before deploying to productionValidate tool schemas and error handling in isolation

Best for

Developers building MCP clients or agents that use Supabase tools

CI/CD pipelines that need to test Supabase integrations without external dependencies

Teams prototyping AI agent workflows before committing to infrastructure

Requires

Node.js 18+ for running local MCP server

Mock configuration file specifying response behavior

Limitations

Mock responses are static and don't simulate complex state transitions (e.g., async operations, eventual consistency)

Mock system doesn't validate business logic — only returns success responses

Debugging tools are local-only; production issues require connecting to live Supabase

What makes it unique

Implements a comprehensive mock system as part of the MCP server package, allowing developers to test without external dependencies. Uses the same tool schema and response format as production, ensuring mock tests are representative of real behavior.

vs alternatives

Provides built-in mocking that competitors like Vercel or Firebase don't offer; developers typically use external mocking libraries (Nock, MSW) that require manual setup, while this integrates mocking into the MCP server itself.

multi-transport mcp server with http, stdio, and sse support

Medium confidence

Implements the Supabase MCP server across multiple transport mechanisms (HTTP with OAuth, stdio for CLI, Server-Sent Events), allowing deployment in diverse environments. Uses a platform abstraction layer that decouples transport handling from tool implementation, enabling the same tool set to work over HTTP (hosted at mcp.supabase.com), stdio (CLI execution), or SSE (streaming responses), with automatic transport selection based on deployment context.

Solves for

Deploy MCP server as hosted HTTP endpoint for cloud-based AI assistantsRun MCP server locally via CLI for development and testingStream tool responses via SSE for real-time agent feedback

Best for

Teams deploying MCP servers in cloud environments (HTTP transport)

Developers running local MCP servers for testing (stdio transport)

Applications requiring streaming responses for long-running operations

Requires

Node.js 18+ for running MCP server

For HTTP: OAuth 2.1 Dynamic Client Registration setup

For stdio: Local environment with Node.js installed

Limitations

HTTP transport requires OAuth 2.1 setup; stdio transport uses local authentication only

SSE streaming adds latency for small responses due to connection overhead

Transport selection is automatic based on client type — cannot force specific transport

What makes it unique

Abstracts transport mechanism from tool implementation using a platform abstraction layer, allowing the same tool definitions to work over HTTP, stdio, and SSE without code duplication. Implements OAuth 2.1 Dynamic Client Registration for HTTP transport, eliminating need for pre-shared credentials.

vs alternatives

Provides multi-transport support that most MCP servers don't offer; competitors typically support single transport (HTTP or stdio), while this enables deployment flexibility across cloud, local, and streaming scenarios.

Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.

Related Artifactssharing capabilities

Artifacts that share capabilities with Supabase, ranked by overlap. Discovered automatically through the match graph.

MCP Server46

Supabase MCP Server

Manage Supabase databases, auth, and storage via MCP.

feature group-based capability control and safety gatingmcp-standardized supabase api tool registration and schema exposuresupabase management api operations for project administrationshared utility abstractions for mcp server development

4 shared capabilities

MCP Server37

supabase-mcp-server

Query MCP enables end-to-end management of Supabase via chat interface: read & write query executions, management API support, automatic migration versioning, access to logs and much more.

supabase management api endpoint orchestration with risk assessmentmcp protocol integration with stdio-based tool registration

2 shared capabilities

MCP Server34

@supabase/mcp-server-supabase

MCP server for interacting with Supabase

schema introspection and capability discoverypostgresql table crud operations via mcp protocol

2 shared capabilities

MCP Server24

@scope-pm/mcp

ScopePM MCP proxy for routing MCP tool calls to the hosted API.

project management tool discovery and schema exposure

1 shared capability

MCP Server20

@supabase/mcp-server-postgrest

MCP server for PostgREST

postgrest api schema introspection and tool registration

1 shared capability

MCP Server24

1mcpserver

** - MCP of MCPs. Automatic discovery and configure MCP servers on your local machine. Fully REMOTE! Just use [https://mcp.1mcpserver.com/mcp/](https://mcp.1mcpserver.com/mcp/)

dynamic-mcp-capability-schema-exposure

1 shared capability

Best For

✓Teams using Claude Desktop, Cursor, or VS Code with Copilot who want native Supabase integration
✓Developers building LLM agents that need to manage Supabase infrastructure
✓Organizations standardizing on MCP for AI tool discovery across multiple services
✓Developers building LLM agents that need read/write database access
✓Teams wanting natural language database querying without SQL expertise
✓Rapid prototyping scenarios where schema changes are frequent
✓Multi-tenant platforms where different users have different Supabase permissions
✓Organizations with strict access control requirements

Known Limitations

⚠Requires MCP-compatible client — not compatible with ChatGPT, Gemini, or other non-MCP AI platforms
⚠Authentication via OAuth 2.1 Dynamic Client Registration adds initial setup complexity vs API key auth
⚠Tool discovery is static at connection time — adding new Supabase features requires server restart
⚠PostgREST has query complexity limits — deeply nested joins or large result sets may timeout
⚠Schema introspection is cached at server startup; schema changes require server restart to reflect in tool discovery
⚠Row-level security (RLS) policies are enforced but not exposed to LLM — policies must be pre-configured correctly

Requirements

MCP-compatible client (Claude Desktop, Cursor 0.42+, VS Code with Copilot extension)Supabase account with Management API accessNetwork connectivity to https://mcp.supabase.com/mcp or self-hosted MCP endpointSupabase project with PostgREST API enabledPostgreSQL tables or views with proper permissionsPostgREST endpoint URL and authentication tokenValid Management API token with appropriate scopesSupabase project with known plan tier

Input / Output

Accepts: JSON-serialized tool parameters matching MCP schema, OAuth 2.1 credentials via Dynamic Client Registration, Natural language queries (converted to PostgREST filter syntax), JSON filter objects matching PostgREST query format, Management API token, Feature group configuration, TypeScript source code, Package configuration (package.json), OAuth authorization request, Refresh token for token renewal, Project configuration objects (name, region, plan), Team member email addresses and role assignments, Function code as string (TypeScript/JavaScript), Function name and slug, Invocation parameters as JSON, Branch name and configuration, SQL migration scripts, Source branch identifier (for promotion), File content (binary or text), Bucket name and path, Access control metadata (public/private, expiration), Table name and filter criteria, Event types (INSERT, UPDATE, DELETE, or *), User email and password, User ID and new password, MFA method (TOTP, SMS, etc.), Tool invocation requests (same as production), Mock configuration (response overrides, error injection), MCP protocol messages (tool calls, resource requests), OAuth tokens (HTTP transport only)

Produces: JSON-structured tool results, Error responses with MCP error codes, JSON arrays of table rows, Structured schema metadata (table names, column types, relationships), List of available tools based on scopes, Error messages for unavailable tools, Built JavaScript packages, Type definitions (.d.ts files), OAuth access token with scopes, Token expiration and refresh token, Project metadata (ID, API URL, database credentials), Team member lists with roles, Usage and billing summaries, Deployment status and function URL, Function execution results (JSON or text), Error messages and stack traces, Branch metadata (ID, connection string, status), Migration execution results, Promotion status and conflicts (if any), File URL and metadata, Signed URL with expiration, Bucket configuration and policies, Real-time change events with old/new row data, Subscription status and connection state, User metadata and session tokens, MFA enrollment status and secrets, Password reset token, Simulated tool responses matching production schema, Debug logs and request/response traces, MCP protocol responses (tool results, resources), Streaming event data (SSE transport)

UnfragileRank

Adoption15%(30% weight)

Quality25%(25% weight)

Ecosystem30%(25% weight)

Match Graph10%(15% weight)

Freshness75%(5% weight)

UnfragileRank is computed from adoption signals, documentation quality, ecosystem connectivity, match graph feedback, and freshness. No artifact can pay for a higher rank.

Type: MCP Server

13 capabilities

Visit Supabase→

About

** - Connects to Supabase platform for database, auth, edge functions and more.

Featured in Stacks

The Solo Developer

Ship faster alone

cursorv0vercelclaudegithub-copilot+1 more

$0 — $60/mo

Browse all stacks →

Alternatives to Supabase

IntelliCode50Extension

AI-assisted development

Compare →

GitHub Copilot Chat53Extension

AI chat features powered by Copilot

Compare →

GitHub Copilot52Extension

Your AI pair programmer

Compare →

Claude Code for VS Code52Extension

Claude Code for VS Code: Harness the power of Claude Code without leaving your IDE

Compare →

Are you the builder of Supabase?

Claim this artifact to get a verified badge, access match analytics, see which intents users search for, and manage your listing.

Claim this artifact →Verification via email

Get the weekly brief

New tools, rising stars, and what's actually worth your time. No spam.

Data Sources

github awesome

Looking for something else?

Search →

Capabilities13 decomposed

mcp-standardized supabase management api tool exposure

Medium confidence

Solves for

Best for

Teams using Claude Desktop, Cursor, or VS Code with Copilot who want native Supabase integration

Developers building LLM agents that need to manage Supabase infrastructure

Organizations standardizing on MCP for AI tool discovery across multiple services

Requires

MCP-compatible client (Claude Desktop, Cursor 0.42+, VS Code with Copilot extension)

Supabase account with Management API access

Network connectivity to https://mcp.supabase.com/mcp or self-hosted MCP endpoint

Limitations

Requires MCP-compatible client — not compatible with ChatGPT, Gemini, or other non-MCP AI platforms

Authentication via OAuth 2.1 Dynamic Client Registration adds initial setup complexity vs API key auth

Tool discovery is static at connection time — adding new Supabase features requires server restart

What makes it unique

vs alternatives

database schema introspection and postgrest api exposure

Medium confidence

Solves for

Best for

Developers building LLM agents that need read/write database access

Teams wanting natural language database querying without SQL expertise

Rapid prototyping scenarios where schema changes are frequent

Requires

Supabase project with PostgREST API enabled

PostgreSQL tables or views with proper permissions

PostgREST endpoint URL and authentication token

Limitations

PostgREST has query complexity limits — deeply nested joins or large result sets may timeout

Schema introspection is cached at server startup; schema changes require server restart to reflect in tool discovery

Row-level security (RLS) policies are enforced but not exposed to LLM — policies must be pre-configured correctly

What makes it unique

vs alternatives

feature group-based capability gating with scope validation

Medium confidence

Solves for

Best for

Multi-tenant platforms where different users have different Supabase permissions

Organizations with strict access control requirements

Teams managing both free-tier and paid Supabase projects

Requires

Valid Management API token with appropriate scopes

Supabase project with known plan tier

Limitations

Scope validation happens at server startup; token scope changes require server restart

Feature availability is determined by Supabase plan; plan downgrades are not detected in real-time

Tool gating is all-or-nothing; cannot partially enable tools with reduced functionality

What makes it unique

vs alternatives

monorepo architecture with shared utilities and independent server packages

Medium confidence

Solves for

Best for

Teams building multiple MCP servers that share common patterns

Organizations wanting to deploy servers independently based on use case

Projects requiring strict code quality and consistency standards

Requires

pnpm 8+ for workspace management

Node.js 18+ for building and testing

Understanding of monorepo patterns and workspace dependencies

Limitations

Monorepo adds complexity to build and deployment pipelines

Shared utilities create tight coupling between servers; breaking changes require coordinated updates

pnpm workspace filtering requires understanding of package dependencies

What makes it unique

vs alternatives

Provides cleaner separation of concerns than single-package approaches; competitors typically bundle all functionality in one package, making it harder to reuse patterns or deploy selectively.

oauth 2.1 dynamic client registration for secure hosted deployment

Medium confidence

Solves for

Connect to hosted Supabase MCP server without managing API keysRevoke client access without rotating shared credentialsAudit which clients are accessing Supabase via MCP

Best for

Cloud-based AI assistants (Claude Desktop, Cursor) connecting to hosted MCP endpoint

Organizations with strict credential management policies

Multi-user environments where per-user access control is required

Requires

OAuth 2.1 compatible client (Claude Desktop, Cursor, etc.)

Supabase account with OAuth provider configured

Network connectivity to OAuth authorization endpoint

Limitations

OAuth setup adds complexity compared to simple API key authentication

Dynamic registration requires user interaction (OAuth consent flow) on first connection

Token refresh is automatic but requires persistent storage of refresh tokens

What makes it unique

vs alternatives

account and project lifecycle management via mcp tools

Medium confidence

Solves for

Automate Supabase project provisioning in response to user requestsLet an AI agent manage team members and project access controlsMonitor project costs and usage metrics programmatically

Best for

Platform teams building multi-tenant SaaS with Supabase backends

DevOps engineers automating infrastructure provisioning workflows

Startups using AI agents to manage development and production environments

Requires

Supabase account with Management API access

Management API token with appropriate scopes (project:create, project:delete, etc.)

Proper IAM/RBAC setup to prevent unauthorized operations

Limitations

Requires Management API access token with appropriate scopes — not all team members have these permissions

Project creation is asynchronous; tool returns immediately but provisioning takes 30-60 seconds

Billing operations are read-only via MCP tools — cost management is informational, not preventive

What makes it unique

vs alternatives

edge function deployment and invocation via mcp

Medium confidence

Solves for

Best for

AI-assisted development workflows where agents generate and deploy serverless code

Rapid prototyping of backend logic without manual deployment steps

Teams building AI agents that need to extend their capabilities with custom functions

Requires

Supabase project with Edge Functions enabled

Management API token with function deployment scope

Valid TypeScript/JavaScript function code

Limitations

Function code must be valid TypeScript/JavaScript — no syntax validation before deployment, errors only appear at runtime

Deployment takes 10-30 seconds; tool returns immediately but function may not be ready for invocation

Environment variables and secrets must be pre-configured in Supabase dashboard — not exposed via MCP for security

What makes it unique

vs alternatives

database branching and preview environment management

Medium confidence

Solves for

Best for

Teams with strict change management requirements wanting AI-assisted testing

Development teams using database branching for parallel feature development

Organizations needing audit trails of schema changes and migrations

Requires

Supabase Pro plan or higher with database branching enabled

Management API token with branching scope

Valid SQL migration scripts

Limitations

Database branching is a paid Supabase feature — not available on free tier

Branch creation takes 2-5 minutes; tool returns immediately but branch is not ready for queries until provisioning completes

Data seeding must be done via SQL scripts — no direct data copy from production for privacy/compliance reasons

What makes it unique

vs alternatives

storage bucket and file management via mcp

Medium confidence

Solves for

Best for

AI agents that generate or process files (images, documents, videos) and need persistent storage

Applications with user-generated content requiring secure, scalable file storage

Teams building multi-tenant systems with per-tenant storage isolation

Requires

Supabase project with Storage enabled

Management API token with storage scope

File content (binary or text)

Limitations

File uploads via MCP are limited to reasonable sizes (typically <100MB) — large file uploads should use direct S3 endpoints

Signed URLs have configurable expiration but cannot be revoked once generated — URL sharing is permanent until expiration

Storage policies are bucket-level; row-level file access control requires application-level logic

What makes it unique

vs alternatives

real-time database change subscriptions via mcp

Medium confidence

Solves for

Best for

AI agents that need to react to real-time data changes

Collaborative applications where multiple users modify shared data

Monitoring and alerting systems that need instant notifications

Requires

Supabase project with Realtime enabled

WebSocket connectivity to Supabase Realtime endpoint

Row-level security policies configured for subscription filtering

Limitations

Realtime subscriptions require persistent WebSocket connections — not suitable for stateless serverless functions

Change notifications are fire-and-forget; if the agent misses an update, there's no replay mechanism

Subscription filtering is limited to table and row-level criteria — complex business logic filtering must be done in the agent

What makes it unique

vs alternatives

authentication and user management via mcp

Medium confidence

Solves for

Create new user accounts programmatically with email verificationReset user passwords and manage session tokensEnable multi-factor authentication for user accounts

Best for

AI-assisted user onboarding workflows

Support agents using AI to manage user account issues

Applications with complex authentication requirements (MFA, SSO)

Requires

Supabase project with Auth enabled

Management API token with auth scope

Email service configured for verification and reset emails

Limitations

Password reset tokens are time-limited (typically 1 hour) — tool must be invoked quickly or token expires

MFA enrollment requires user interaction (scanning QR code, confirming code) — cannot be fully automated

Session tokens are opaque to the agent — cannot inspect or modify token claims

What makes it unique

vs alternatives

development and debugging tools with mock system

Medium confidence

Solves for

Test MCP client integration without a live Supabase projectDebug AI agent workflows locally before deploying to productionValidate tool schemas and error handling in isolation

Best for

Developers building MCP clients or agents that use Supabase tools

CI/CD pipelines that need to test Supabase integrations without external dependencies

Teams prototyping AI agent workflows before committing to infrastructure

Requires

Node.js 18+ for running local MCP server

Mock configuration file specifying response behavior

Limitations

Mock responses are static and don't simulate complex state transitions (e.g., async operations, eventual consistency)

Mock system doesn't validate business logic — only returns success responses

Debugging tools are local-only; production issues require connecting to live Supabase

What makes it unique

vs alternatives

multi-transport mcp server with http, stdio, and sse support

Medium confidence

Solves for

Deploy MCP server as hosted HTTP endpoint for cloud-based AI assistantsRun MCP server locally via CLI for development and testingStream tool responses via SSE for real-time agent feedback

Best for

Teams deploying MCP servers in cloud environments (HTTP transport)

Developers running local MCP servers for testing (stdio transport)

Applications requiring streaming responses for long-running operations

Requires

Node.js 18+ for running MCP server

For HTTP: OAuth 2.1 Dynamic Client Registration setup

For stdio: Local environment with Node.js installed

Limitations

HTTP transport requires OAuth 2.1 setup; stdio transport uses local authentication only

SSE streaming adds latency for small responses due to connection overhead

Transport selection is automatic based on client type — cannot force specific transport

What makes it unique

vs alternatives

Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.

Alternatives to Supabase

IntelliCode50Extension

AI-assisted development

Compare →

GitHub Copilot Chat53Extension

AI chat features powered by Copilot

Compare →

GitHub Copilot52Extension

Your AI pair programmer

Compare →

Claude Code for VS Code52Extension

Claude Code for VS Code: Harness the power of Claude Code without leaving your IDE

Compare →

Supabase

Capabilities13 decomposed

mcp-standardized supabase management api tool exposure

database schema introspection and postgrest api exposure

feature group-based capability gating with scope validation

monorepo architecture with shared utilities and independent server packages

oauth 2.1 dynamic client registration for secure hosted deployment

account and project lifecycle management via mcp tools

edge function deployment and invocation via mcp

database branching and preview environment management

storage bucket and file management via mcp

real-time database change subscriptions via mcp

authentication and user management via mcp

development and debugging tools with mock system

multi-transport mcp server with http, stdio, and sse support

Related Artifactssharing capabilities

Supabase MCP Server

supabase-mcp-server

@supabase/mcp-server-supabase

@scope-pm/mcp

@supabase/mcp-server-postgrest

1mcpserver

Best For

Known Limitations

Requirements

Input / Output

UnfragileRank

About

Categories

Featured in Stacks

Alternatives to Supabase

Are you the builder of Supabase?

Get the weekly brief

Data Sources

Supabase

Capabilities13 decomposed

mcp-standardized supabase management api tool exposure

database schema introspection and postgrest api exposure

feature group-based capability gating with scope validation

monorepo architecture with shared utilities and independent server packages

oauth 2.1 dynamic client registration for secure hosted deployment

account and project lifecycle management via mcp tools

edge function deployment and invocation via mcp

database branching and preview environment management

storage bucket and file management via mcp

real-time database change subscriptions via mcp

authentication and user management via mcp

development and debugging tools with mock system

multi-transport mcp server with http, stdio, and sse support

Related Artifactssharing capabilities

Supabase MCP Server

supabase-mcp-server

@supabase/mcp-server-supabase

@scope-pm/mcp

@supabase/mcp-server-postgrest

1mcpserver

Best For

Known Limitations

Requirements

Input / Output

UnfragileRank

About

Categories

Featured in Stacks

Alternatives to Supabase

Are you the builder of Supabase?

Get the weekly brief

Data Sources