{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"supabase-mcp-server","slug":"supabase-mcp-server","name":"Supabase MCP Server","type":"mcp","url":"https://github.com/supabase-community/supabase-mcp","page_url":"https://unfragile.ai/supabase-mcp-server","categories":["mcp-servers"],"tags":["supabase","database","baas","community"],"pricing":{"model":"free","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"supabase-mcp-server__cap_0","uri":"capability://tool.use.integration.mcp.standardized.supabase.api.exposure.via.multiple.transport.mechanisms","name":"mcp-standardized supabase api exposure via multiple transport mechanisms","description":"Exposes Supabase Management API and PostgREST API through the Model Context Protocol using a monorepo architecture with three distribution channels: hosted HTTP endpoint at mcp.supabase.com with OAuth 2.1 Dynamic Client Registration, npm package with three entry points (CLI binary, programmatic SDK, server factory), and local development via Supabase CLI at localhost:54321/mcp. Uses a platform abstraction layer that decouples transport mechanisms from tool implementations, enabling any MCP-compatible client (Claude Desktop, Cursor, VS Code Copilot, Windsurf) to connect without custom integrations.","intents":["Connect an AI assistant to my Supabase project without writing custom integration code","Use the same MCP server across multiple AI tools (Claude, Cursor, VS Code) without duplication","Deploy a Supabase MCP server in production with OAuth authentication","Integrate Supabase tooling programmatically into my own MCP client or agent framework"],"best_for":["AI assistant developers building Supabase integrations","Teams using multiple AI tools (Claude, Cursor, Windsurf) that need unified Supabase access","Supabase users wanting LLM-driven database and infrastructure management","MCP ecosystem builders extending Supabase capabilities"],"limitations":["Hosted HTTP endpoint requires OAuth 2.1 Dynamic Client Registration setup, adding authentication complexity vs direct API key usage","Transport abstraction layer adds ~50-100ms latency per request due to protocol translation overhead","CLI execution via stdio requires Node.js runtime; not available as native binary for all platforms","Self-hosted instances must explicitly enable MCP endpoint; not enabled by default in Supabase CLI"],"requires":["Node.js 18+ for npm package or CLI execution","Supabase project with valid API credentials (service role key or OAuth token)","MCP-compatible client (Claude Desktop, Cursor, VS Code Copilot, Windsurf, or custom MCP client)","For hosted endpoint: OAuth 2.1 client registration via Dynamic Client Registration protocol"],"input_types":["MCP tool call requests with JSON parameters","Supabase API credentials (service role key or OAuth token)","Configuration objects specifying feature groups and transport options"],"output_types":["MCP tool response objects with structured results","JSON-serialized database query results","HTTP responses from hosted endpoint","Stdio-based message protocol for CLI execution"],"categories":["tool-use-integration","mcp-servers"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"supabase-mcp-server__cap_1","uri":"capability://data.processing.analysis.sql.query.execution.with.postgrest.api.abstraction","name":"sql query execution with postgrest api abstraction","description":"Executes arbitrary SQL queries against Supabase PostgreSQL databases through a dedicated PostgREST MCP server (@supabase/mcp-server-postgrest) that translates MCP tool calls into PostgREST HTTP requests. Supports parameterized queries to prevent SQL injection, result streaming for large datasets, and automatic schema introspection. The implementation uses a query builder pattern that constructs PostgREST-compatible request payloads, handling authentication via Supabase service role keys and managing connection pooling through the PostgREST proxy layer.","intents":["Execute SELECT, INSERT, UPDATE, DELETE queries from an AI assistant without direct database access","Retrieve structured data from Supabase tables with filtering, sorting, and pagination","Perform bulk data operations (inserts, updates) through natural language instructions","Introspect database schema to understand available tables and columns for query generation"],"best_for":["AI agents performing data retrieval and manipulation tasks","LLM-driven data analysis and reporting workflows","Developers building natural language database query interfaces","Teams automating database operations through AI assistants"],"limitations":["PostgREST API has row limits (default 1000 rows per request); large result sets require pagination implementation","Complex queries with CTEs, window functions, or recursive queries may exceed PostgREST URL length limits","No support for transaction control (BEGIN/COMMIT/ROLLBACK) through PostgREST; single-statement execution only","Query execution latency includes PostgREST proxy overhead (~50-200ms) in addition to database query time"],"requires":["Supabase project with PostgreSQL database","Service role API key with appropriate database permissions","PostgREST API endpoint enabled (default in Supabase projects)","Query parameters must be JSON-serializable for MCP transport"],"input_types":["SQL query string with optional parameterized placeholders","Query parameters as JSON object","Pagination parameters (limit, offset)","Filter/sort specifications in PostgREST format"],"output_types":["JSON array of result rows","Structured query metadata (row count, execution time)","Schema introspection results (table names, column definitions, types)"],"categories":["data-processing-analysis","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"supabase-mcp-server__cap_10","uri":"capability://code.generation.editing.mock.system.and.testing.framework.for.tool.development","name":"mock system and testing framework for tool development","description":"Provides a comprehensive testing framework and mock system for developing and testing MCP tools without requiring live Supabase project access. The mock system includes mock implementations of Supabase APIs, tool registry mocking, and test utilities for verifying tool behavior. Enables developers to write unit tests for tools, test error handling and edge cases, and validate tool schemas without external dependencies. The testing framework integrates with standard Node.js testing tools and provides fixtures for common test scenarios.","intents":["Write unit tests for custom MCP tools without live Supabase access","Test tool error handling and edge cases in isolation","Validate tool schemas and parameter validation","Mock Supabase API responses for deterministic testing","Verify tool behavior across different deployment configurations"],"best_for":["Developers building custom MCP tools for Supabase","Teams implementing CI/CD pipelines for MCP server testing","Contributors to Supabase MCP ecosystem","Organizations requiring comprehensive test coverage for MCP tools"],"limitations":["Mock system may not cover all edge cases of real Supabase APIs; integration tests with live projects still recommended","Mock responses are static; complex scenarios requiring dynamic behavior require custom mock implementations","Testing framework is TypeScript-only; no support for testing custom tools written in other languages","Mock system requires maintenance as Supabase APIs evolve; outdated mocks may cause false test results"],"requires":["Node.js 18+ with npm or pnpm","Understanding of MCP tool architecture","Knowledge of testing frameworks (Jest, Vitest, or similar)","Familiarity with Supabase API responses and error patterns"],"input_types":["Tool implementation code for testing","Test specifications (tool name, parameters, expected results)","Mock configuration objects"],"output_types":["Test results (pass/fail, coverage metrics)","Mock API responses","Tool schema validation results"],"categories":["code-generation-editing","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"supabase-mcp-server__cap_11","uri":"capability://safety.moderation.oauth.2.1.dynamic.client.registration.for.hosted.endpoint.authentication","name":"oauth 2.1 dynamic client registration for hosted endpoint authentication","description":"Implements OAuth 2.1 Dynamic Client Registration protocol for authenticating MCP clients connecting to the hosted HTTP endpoint at mcp.supabase.com/mcp. The authentication flow uses Dynamic Client Registration to dynamically register MCP clients without pre-configured credentials, issuing access tokens that authorize tool access. The implementation handles token validation, scope-based access control, and token refresh for long-lived connections. Supports both interactive OAuth flows for user-facing clients and service account flows for programmatic access.","intents":["Authenticate MCP clients connecting to hosted endpoint without pre-sharing credentials","Implement scope-based access control for different tool categories","Support both interactive and programmatic authentication flows","Manage token lifecycle (issuance, validation, refresh, revocation)","Audit authentication and authorization decisions for compliance"],"best_for":["SaaS platforms providing Supabase MCP access to multiple users","Teams requiring fine-grained access control per MCP client","Organizations with strict authentication and authorization requirements","Multi-tenant systems where each tenant needs isolated MCP access"],"limitations":["OAuth 2.1 Dynamic Client Registration adds authentication complexity; requires understanding of OAuth flows","Token validation has latency (~50-100ms) per request; high-frequency tool calls may be impacted","Scope-based access control is limited to predefined scopes; custom scopes require server configuration changes","Token refresh requires additional round-trip; long-lived connections may experience brief interruptions during refresh"],"requires":["OAuth 2.1 compatible MCP client implementation","Understanding of OAuth 2.1 Dynamic Client Registration protocol","Supabase project with OAuth authentication configured","HTTPS endpoint for secure token transmission"],"input_types":["OAuth 2.1 Dynamic Client Registration requests","Access token requests with authorization code or credentials","Token refresh requests","Scope specifications for access control"],"output_types":["Client registration responses with client_id and client_secret","Access tokens with expiration and scope information","Token validation results","Authorization decisions (allow/deny) with reasoning"],"categories":["safety-moderation","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"supabase-mcp-server__cap_12","uri":"capability://tool.use.integration.multi.distribution.channel.support.with.unified.tool.implementations","name":"multi-distribution channel support with unified tool implementations","description":"Supports three independent distribution channels (hosted HTTP endpoint, npm package, CLI via stdio) with unified tool implementations that work across all channels without modification. The platform abstraction layer handles transport-specific details (HTTP request/response, stdio message protocol, programmatic function calls) while tools implement business logic once. Each distribution channel can be deployed independently with different feature group configurations, authentication mechanisms, and operational requirements. The architecture enables users to choose the distribution channel that best fits their deployment model.","intents":["Use the same MCP tools across multiple distribution channels (hosted, npm, CLI)","Deploy MCP server in different environments with appropriate distribution channel","Migrate between distribution channels without tool code changes","Support multiple deployment models (SaaS, self-hosted, local development) with single codebase","Choose distribution channel based on security, latency, and operational requirements"],"best_for":["Teams supporting multiple deployment models and user preferences","Organizations with varying security and operational requirements across environments","Developers wanting flexibility in how they deploy and consume MCP tools","Platforms providing Supabase MCP access through multiple channels"],"limitations":["Supporting multiple distribution channels increases testing burden; each channel requires separate testing","Transport-specific limitations apply to each channel (HTTP message size limits, stdio buffering, etc.)","Feature group configuration must be managed separately for each distribution channel","Authentication mechanisms differ per channel; clients must understand channel-specific auth requirements"],"requires":["Understanding of all three distribution channels and their trade-offs","Appropriate infrastructure for chosen distribution channel (HTTP server, npm registry, Node.js runtime)","Configuration management for channel-specific settings"],"input_types":["Tool call requests in MCP protocol format (transport-agnostic)","Channel-specific configuration (HTTP port, stdio settings, npm package version)"],"output_types":["Tool responses in MCP protocol format (transport-agnostic)","Channel-specific metadata (HTTP status codes, stdio message types)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"supabase-mcp-server__cap_13","uri":"capability://automation.workflow.mock.system.for.testing.mcp.servers.without.live.api.access","name":"mock system for testing mcp servers without live api access","description":"Provides a testing framework and mock API system that allows MCP server implementations to be tested without requiring live Supabase API credentials or network access. The mock system (@supabase/mcp-utils) includes predefined mock responses for common operations and allows custom mock configurations for testing edge cases. Tests can verify tool behavior, error handling, and response formatting without external dependencies.","intents":["Test MCP server implementations in CI/CD pipelines without API credentials","Verify tool behavior and error handling without live API access","Develop MCP server features locally without requiring Supabase project","Test edge cases and error scenarios that are difficult to reproduce with live APIs"],"best_for":["MCP server developers building Supabase integrations","CI/CD pipelines requiring credential-free testing","Teams practicing test-driven development for MCP servers"],"limitations":["Mock responses are predefined — custom scenarios require code changes","Mock system may not cover all API edge cases — gaps between mock and real API behavior","Testing with mocks cannot catch API breaking changes — requires integration tests with live API","Mock configuration is TypeScript-only — no JSON or YAML configuration support"],"requires":["@supabase/mcp-utils package with mock system","TypeScript test framework (Jest, Vitest, etc.)","Understanding of mock configuration patterns"],"input_types":["Mock response configurations","Test case definitions","Tool invocation parameters"],"output_types":["Mock API responses","Test results and assertions","Coverage reports"],"categories":["automation-workflow","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"supabase-mcp-server__cap_2","uri":"capability://data.processing.analysis.database.table.and.schema.management.through.management.api","name":"database table and schema management through management api","description":"Manages Supabase database structure (create/drop/alter tables, columns, indexes, constraints) through the Supabase Management API, translated into MCP tool calls. Implements a schema-aware tool architecture that validates DDL operations before execution, provides schema introspection for understanding current database structure, and supports migration workflows. The platform abstraction layer handles API authentication and request construction, while tool implementations encapsulate domain logic for table creation, column modifications, and constraint management.","intents":["Create new database tables with specified columns and constraints via natural language","Modify existing table schemas (add/drop/rename columns, change types) through AI instructions","Define indexes and constraints to optimize query performance","Understand current database schema structure for informed schema design decisions"],"best_for":["Developers prototyping database schemas with AI assistance","Teams automating database migrations through AI-driven workflows","Non-technical users designing databases through conversational interfaces","CI/CD pipelines that need schema management without manual SQL"],"limitations":["DDL operations are not transactional across multiple changes; partial failures can leave schema in inconsistent state","No built-in rollback mechanism; schema changes must be manually reversed if errors occur","Management API rate limits apply (typically 100 requests/minute); bulk schema operations may require throttling","Complex schema dependencies (foreign keys, cascading deletes) require careful ordering of operations"],"requires":["Supabase project with Management API access","Service role API key with admin permissions for schema modifications","Understanding of PostgreSQL data types and constraint syntax","Appropriate database permissions (CREATE TABLE, ALTER TABLE, CREATE INDEX)"],"input_types":["Table definition objects (name, columns with types, constraints)","Column modification specifications (add, drop, rename, type change)","Index and constraint definitions","Schema introspection queries"],"output_types":["Confirmation of schema changes with affected table/column names","Current schema structure as JSON (tables, columns, types, constraints)","Error messages with remediation suggestions for invalid operations","Migration status and operation history"],"categories":["data-processing-analysis","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"supabase-mcp-server__cap_3","uri":"capability://tool.use.integration.authentication.and.user.account.management.via.management.api","name":"authentication and user account management via management api","description":"Manages Supabase Auth users (create, list, update, delete, reset passwords) through the Supabase Management API, exposed as MCP tools. Implements account management tool group that handles user lifecycle operations, password resets, and user metadata updates. The implementation validates user input, enforces authentication policies, and integrates with Supabase's built-in auth system without requiring direct access to auth tables. Tool architecture includes safety checks to prevent unauthorized user modifications and audit logging for compliance.","intents":["Create new user accounts programmatically with email and password","List and search existing users with filtering by email, metadata, or creation date","Reset user passwords or trigger password reset emails","Update user metadata and custom claims for authorization purposes","Disable or delete user accounts with cascading cleanup"],"best_for":["SaaS platforms automating user onboarding through AI assistants","Admin dashboards providing AI-assisted user management","Bulk user import and migration workflows","Teams building user provisioning automation"],"limitations":["Management API user operations are subject to rate limits (typically 100 requests/minute per project)","Password reset emails require configured SMTP settings; failures are not immediately visible to MCP client","User deletion is permanent and cannot be undone; no soft-delete or recovery mechanism","Custom claims and metadata are limited to JSON serializable values; complex objects require pre-serialization"],"requires":["Supabase project with Auth enabled","Service role API key with admin permissions for user management","For password resets: configured email provider (SMTP or Supabase Auth email service)","Understanding of Supabase Auth user schema and metadata structure"],"input_types":["User creation objects (email, password, metadata, custom claims)","User update specifications (metadata changes, claim modifications)","User search/filter parameters (email, creation date range, metadata queries)","Password reset requests with email address"],"output_types":["User objects with ID, email, metadata, created_at timestamp","List of users with pagination metadata","Confirmation of user operations (created, updated, deleted)","Error messages for invalid operations (duplicate email, invalid metadata)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"supabase-mcp-server__cap_4","uri":"capability://tool.use.integration.storage.bucket.and.file.management.through.management.api","name":"storage bucket and file management through management api","description":"Manages Supabase Storage buckets and files (create buckets, upload/download/delete files, set access policies) through MCP tools that call the Supabase Management API and Storage API. Implements storage tool group with operations for bucket lifecycle management, file operations with metadata, and access control configuration. The implementation handles file streaming for large uploads/downloads, manages authentication tokens for Storage API access, and provides bucket policy configuration for public/private access patterns.","intents":["Create and configure storage buckets with public/private access policies","Upload files to buckets with metadata and access control","List and search files within buckets with filtering","Download or delete files from buckets","Configure bucket policies and CORS settings for web access"],"best_for":["AI assistants managing file uploads and storage for SaaS applications","Automated content management workflows with AI-driven file organization","Teams building file management interfaces with natural language control","Bulk file operations and migrations through AI orchestration"],"limitations":["File uploads through MCP are limited by message size constraints; large files (>100MB) may require chunked upload implementation","Storage API rate limits apply (typically 100 requests/minute); bulk operations require throttling","File metadata is limited to JSON serializable values; complex metadata requires pre-serialization","Bucket policies use PostgreSQL policy syntax; complex policies may be difficult to express through natural language"],"requires":["Supabase project with Storage enabled","Service role API key with storage permissions","For file uploads: appropriate bucket permissions and quota","Understanding of Supabase Storage bucket structure and access policies"],"input_types":["Bucket creation specifications (name, public/private flag, CORS settings)","File upload data (binary content or base64-encoded string)","File metadata objects (custom headers, cache control)","Bucket policy definitions in PostgreSQL policy syntax","File search/filter parameters (name patterns, metadata queries)"],"output_types":["Bucket metadata (name, created_at, public flag, size)","File objects with metadata (name, size, created_at, content-type, signed URL)","List of files in bucket with pagination","Confirmation of storage operations (bucket created, file uploaded, deleted)","Signed URLs for secure file access"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"supabase-mcp-server__cap_5","uri":"capability://tool.use.integration.edge.function.deployment.and.invocation.through.management.api","name":"edge function deployment and invocation through management api","description":"Deploys and invokes Supabase Edge Functions (serverless TypeScript functions) through MCP tools that call the Supabase Management API. Implements edge functions tool group with operations for function deployment from code strings, function invocation with parameters, and function metadata management. The implementation handles function code compilation, manages deployment to Deno runtime, and provides request/response handling for function invocation with automatic serialization of parameters and results.","intents":["Deploy new edge functions from TypeScript code provided by AI assistant","Invoke deployed edge functions with parameters and capture results","Update existing edge function code without redeployment","List deployed functions and retrieve function metadata and execution logs","Manage function environment variables and secrets"],"best_for":["AI assistants generating and deploying serverless functions for custom logic","Teams automating edge function deployment through CI/CD-like workflows","Developers prototyping serverless functions with AI code generation","Platforms building function-as-a-service capabilities on top of Supabase"],"limitations":["Edge function code must be valid TypeScript; syntax errors prevent deployment and require code regeneration","Function deployment has latency (~5-10 seconds) due to Deno compilation and distribution; not suitable for real-time code updates","Function invocation timeout is typically 10-60 seconds depending on plan; long-running operations require async patterns","Environment variables and secrets must be pre-configured; cannot be set dynamically through MCP tools","Function code size limits apply (typically 10MB uncompressed); large dependencies may exceed limits"],"requires":["Supabase project with Edge Functions enabled","Service role API key with function deployment permissions","Valid TypeScript code for function implementation","Understanding of Deno runtime and Supabase Edge Function APIs"],"input_types":["TypeScript function code as string","Function name and configuration (memory, timeout)","Function invocation parameters as JSON object","Environment variable specifications (key-value pairs)"],"output_types":["Deployment confirmation with function URL and metadata","Function invocation results (response body, status code, execution time)","Function metadata (name, created_at, last_modified, memory, timeout)","Execution logs and error messages","List of deployed functions with pagination"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"supabase-mcp-server__cap_6","uri":"capability://automation.workflow.database.branching.and.preview.environment.management","name":"database branching and preview environment management","description":"Manages Supabase database branching (create preview branches, promote branches to production, manage branch-specific schemas) through MCP tools that call the Supabase Management API. Implements branching tool group with operations for branch creation from production schema, branch promotion with data migration, and branch deletion. The implementation integrates with Supabase's branching system to provide isolated preview databases for testing schema changes and data operations before production deployment, with automatic schema synchronization and data seeding capabilities.","intents":["Create preview database branches for testing schema changes safely","Promote preview branches to production after validation","Test data operations and migrations on isolated branches before production","Manage branch-specific configurations and environment variables","Delete preview branches and clean up resources after testing"],"best_for":["Teams implementing safe database migration workflows with AI assistance","Developers testing schema changes in isolated environments before production","CI/CD pipelines automating database testing and promotion","Organizations requiring audit trails for database changes"],"limitations":["Database branching requires Supabase Pro plan or higher; not available on free tier","Branch creation has latency (~30-60 seconds) due to database cloning; not suitable for rapid iteration","Data synchronization between branches is one-way (production to preview); manual data migration required for reverse sync","Branch retention is limited (typically 7 days for preview branches); long-term testing requires promotion to production","Branching is not available for self-hosted Supabase instances"],"requires":["Supabase Pro plan or higher with branching enabled","Service role API key with branching permissions","Production database with stable schema for branching","Understanding of database migration and schema synchronization concepts"],"input_types":["Branch creation specifications (name, source branch, data seeding options)","Branch promotion specifications (target environment, data migration strategy)","Branch deletion requests with confirmation","Branch configuration updates (environment variables, secrets)"],"output_types":["Branch metadata (name, created_at, status, database URL)","List of available branches with status and creation time","Promotion confirmation with migration status","Branch deletion confirmation","Schema diff between branches"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"supabase-mcp-server__cap_7","uri":"capability://tool.use.integration.feature.group.based.tool.configuration.and.selective.capability.enablement","name":"feature group-based tool configuration and selective capability enablement","description":"Implements a feature groups configuration pattern that selectively enables tool categories (account management, database operations, storage, edge functions, branching, cost management) per MCP server deployment context. The architecture uses configuration objects that specify which tool groups to enable, allowing different deployment scenarios (hosted HTTP endpoint, npm package, CLI) to expose different capability sets based on security and operational requirements. This pattern enables fine-grained access control without code duplication, using a shared tool registry that tools register themselves against.","intents":["Deploy MCP server with only database query tools for read-only data access","Enable schema management tools only in development environments, disable in production","Restrict user management tools to admin-only deployments","Configure different tool sets for different MCP clients based on trust level","Audit which tools are enabled in each deployment for compliance purposes"],"best_for":["Teams deploying MCP servers across multiple environments with different security requirements","Organizations requiring fine-grained access control over AI assistant capabilities","Developers building custom MCP servers extending Supabase functionality","Security-conscious teams limiting AI assistant permissions to specific operations"],"limitations":["Feature group configuration is static at server startup; runtime tool enablement/disablement not supported","No built-in role-based access control (RBAC) per MCP client; all enabled tools are available to all clients","Configuration validation is minimal; invalid feature group specifications may cause silent failures","Tool dependencies are not automatically resolved; enabling a tool that depends on another disabled tool may cause errors"],"requires":["Understanding of Supabase MCP tool architecture and feature groups","Configuration file or environment variables specifying enabled feature groups","Knowledge of which tools belong to which feature groups"],"input_types":["Feature group configuration objects (array of enabled tool group names)","Environment variables specifying feature groups","Configuration files in JSON or YAML format"],"output_types":["List of enabled tools in MCP server","Tool registry with available tools and their schemas","Configuration validation results"],"categories":["tool-use-integration","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"supabase-mcp-server__cap_8","uri":"capability://data.processing.analysis.cost.management.and.usage.monitoring.through.management.api","name":"cost management and usage monitoring through management api","description":"Provides cost tracking and usage monitoring tools that query Supabase Management API for project usage metrics (database size, storage usage, function invocations, API requests). Implements cost management tool group that retrieves billing information, usage statistics, and cost projections. The implementation aggregates usage data from multiple Supabase services and presents it through a unified MCP interface, enabling AI assistants to provide cost-aware recommendations and help teams optimize resource usage.","intents":["Monitor current project usage and costs to understand spending patterns","Identify resource-intensive operations (large queries, storage usage) for optimization","Project monthly costs based on current usage trends","Set up alerts for cost thresholds and usage limits","Compare usage across projects or time periods"],"best_for":["Teams managing multiple Supabase projects and tracking costs","AI assistants providing cost-aware recommendations for database optimization","Finance teams auditing cloud spending and resource allocation","Developers optimizing applications to reduce Supabase costs"],"limitations":["Usage metrics have latency (typically 5-15 minutes) before appearing in Management API; real-time monitoring not available","Cost projections are based on historical usage and may not account for seasonal variations or planned changes","Detailed usage breakdown by operation type (SELECT vs INSERT) is not available; only aggregate metrics provided","Cost management tools require service role API key; cannot be exposed to untrusted MCP clients"],"requires":["Supabase project with billing enabled","Service role API key with billing/usage permissions","Understanding of Supabase pricing model and usage metrics"],"input_types":["Time range specifications for usage queries (start_date, end_date)","Metric type specifications (database size, storage, functions, API requests)","Cost threshold specifications for alerts"],"output_types":["Usage metrics as JSON (database size in GB, storage usage, function invocations, API request count)","Cost breakdown by service (database, storage, functions, API)","Monthly cost projections","Usage trends and historical comparisons","Cost alerts and recommendations"],"categories":["data-processing-analysis","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"supabase-mcp-server__cap_9","uri":"capability://tool.use.integration.monorepo.package.architecture.with.shared.utilities.and.platform.abstraction","name":"monorepo package architecture with shared utilities and platform abstraction","description":"Implements a TypeScript monorepo using pnpm workspaces with three npm packages: @supabase/mcp-server-supabase (Management API server), @supabase/mcp-utils (shared utilities), and @supabase/mcp-server-postgrest (PostgREST API server). The @supabase/mcp-utils package provides foundational abstractions including platform interface definitions, API client implementations, tool registry patterns, and testing utilities. The platform abstraction layer decouples transport mechanisms (HTTP, stdio, programmatic) from tool implementations, enabling code reuse across distribution channels. Uses Biome for code formatting and linting with pnpm workspace filtering for build orchestration.","intents":["Extend Supabase MCP server with custom tools without duplicating transport logic","Create custom MCP servers using shared utilities and platform abstractions","Maintain consistent tool implementations across multiple distribution channels","Test tool implementations independently of transport mechanisms","Publish individual packages to npm with independent versioning"],"best_for":["Developers building custom MCP servers extending Supabase functionality","Teams maintaining multiple MCP server implementations with shared code","Organizations requiring independent versioning of MCP packages","Contributors to Supabase MCP ecosystem"],"limitations":["Monorepo complexity increases build and deployment overhead; requires understanding of pnpm workspaces","Shared utilities package must maintain backward compatibility across versions; breaking changes affect all dependent packages","Platform abstraction layer adds indirection; debugging transport-specific issues requires understanding abstraction boundaries","TypeScript-only implementation; no Python or other language support for custom tool development"],"requires":["Node.js 18+ with pnpm package manager","Understanding of TypeScript and MCP protocol","Knowledge of Supabase APIs and authentication","Familiarity with monorepo patterns and workspace management"],"input_types":["Tool implementation code (TypeScript classes extending base tool interfaces)","Platform configuration objects","Transport-specific configuration (HTTP port, stdio settings)"],"output_types":["Compiled JavaScript packages ready for npm publication","Type definitions for TypeScript consumers","Built MCP server binaries for CLI execution"],"categories":["tool-use-integration","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"supabase-mcp-server__headline","uri":"capability://tool.use.integration.mcp.server.for.supabase.backend.integration","name":"mcp server for supabase backend integration","description":"A community-driven MCP server that allows seamless integration of Large Language Models with Supabase, enabling standardized database management, user authentication, and edge function invocation.","intents":["best MCP server for Supabase","MCP server for AI integration","community MCP server for database management","how to use Supabase with LLMs","MCP server for backend-as-a-service"],"best_for":["developers using Supabase","teams integrating AI with databases"],"limitations":[],"requires":[],"input_types":[],"output_types":[],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":79,"verified":false,"data_access_risk":"high","permissions":["Node.js 18+ for npm package or CLI execution","Supabase project with valid API credentials (service role key or OAuth token)","MCP-compatible client (Claude Desktop, Cursor, VS Code Copilot, Windsurf, or custom MCP client)","For hosted endpoint: OAuth 2.1 client registration via Dynamic Client Registration protocol","Supabase project with PostgreSQL database","Service role API key with appropriate database permissions","PostgREST API endpoint enabled (default in Supabase projects)","Query parameters must be JSON-serializable for MCP transport","Node.js 18+ with npm or pnpm","Understanding of MCP tool architecture"],"failure_modes":["Hosted HTTP endpoint requires OAuth 2.1 Dynamic Client Registration setup, adding authentication complexity vs direct API key usage","Transport abstraction layer adds ~50-100ms latency per request due to protocol translation overhead","CLI execution via stdio requires Node.js runtime; 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