| Ecosystem | 0 | 0 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 10 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
Exposes Nile's multi-tenant database abstraction through MCP tools, allowing LLMs to create, modify, and inspect tenant-isolated schemas without direct SQL knowledge. Works by translating natural language intent into Nile API calls that handle tenant isolation, schema versioning, and isolation boundaries automatically, abstracting away the complexity of multi-tenant data modeling.
Unique: Integrates Nile's native multi-tenant isolation model directly into MCP, allowing LLMs to reason about tenant boundaries and schema isolation as first-class concepts rather than post-hoc application logic
vs alternatives: Unlike generic database MCP servers that expose raw SQL, Nile MCP enforces tenant isolation at the tool layer, preventing accidental cross-tenant data access and simplifying LLM reasoning about multi-tenant constraints
Provides MCP tools for creating, listing, updating, and deleting tenants with automatic isolation and user assignment. Implements tenant provisioning workflows by translating LLM requests into Nile tenant API calls, handling user-to-tenant mappings and access control setup without requiring manual SQL or API orchestration.
Unique: Wraps Nile's tenant API in MCP tools with automatic context injection, allowing LLMs to provision tenants without managing connection strings, API keys, or isolation tokens manually
vs alternatives: Simpler than building custom tenant provisioning APIs because Nile MCP handles isolation and access control setup automatically; faster than manual SQL scripts because LLMs can parallelize tenant creation across multiple requests
Exposes Nile's authentication and authorization APIs through MCP, enabling LLMs to configure user credentials, assign roles, manage API keys, and set up access policies for tenants. Works by translating conversational intent into Nile auth API calls that handle password hashing, token generation, and role-based access control without exposing raw credentials.
Unique: Integrates Nile's tenant-aware authentication directly into MCP, ensuring all user and role operations are scoped to the correct tenant without requiring LLM to manage isolation context
vs alternatives: More secure than generic auth APIs because Nile MCP enforces tenant isolation at the tool layer, preventing accidental cross-tenant permission assignments; simpler than Auth0 integration because credentials stay within Nile's database
Allows LLMs to execute SQL queries against tenant-isolated databases through MCP, automatically injecting tenant context and returning results as structured data. Implements query execution by translating natural language or SQL into Nile query API calls, handling tenant isolation, connection pooling, and result pagination without exposing raw database connections.
Unique: Automatically injects tenant context into queries, ensuring LLMs cannot accidentally query data from other tenants even if SQL is malformed; implements connection pooling and result streaming to handle large datasets efficiently
vs alternatives: Safer than exposing raw database connections because Nile MCP enforces tenant isolation at query time; more efficient than REST APIs because it streams results and reuses connections across multiple LLM requests
Provides MCP tools for exporting tenant data in multiple formats (JSON, CSV, SQL dump) and triggering backups through Nile's backup APIs. Works by translating export requests into Nile data export calls, handling tenant isolation, format conversion, and backup scheduling without requiring LLM to manage storage or encryption.
Unique: Integrates Nile's tenant-aware backup system into MCP, allowing LLMs to trigger and monitor backups for specific tenants without managing encryption keys or storage credentials
vs alternatives: More compliant than manual exports because Nile MCP enforces tenant isolation and audit logging; faster than custom export scripts because it leverages Nile's optimized data export pipeline
Generates tenant-specific connection strings and manages credential rotation through MCP tools, allowing LLMs to provision database access for applications without exposing master credentials. Implements credential management by translating requests into Nile credential APIs, handling token generation, expiration, and revocation automatically.
Unique: Generates tenant-scoped credentials that cannot access other tenants' data even if compromised; implements automatic expiration and revocation to limit blast radius of credential leaks
vs alternatives: More secure than shared master credentials because each tenant gets isolated credentials; more flexible than static connection strings because credentials can be rotated without application restarts
Enables LLMs to execute queries across multiple tenants and aggregate results through MCP, implementing tenant-aware query federation that maintains isolation while allowing comparative analytics. Works by translating aggregation requests into multiple tenant-scoped queries, collecting results, and applying aggregation functions without exposing raw cross-tenant data.
Unique: Implements tenant-aware query federation at the MCP layer, allowing LLMs to aggregate data across tenants while maintaining strict isolation boundaries and preventing accidental data leakage
vs alternatives: More secure than exposing a cross-tenant analytics database because Nile MCP enforces isolation per query; more flexible than pre-computed analytics because LLMs can generate ad-hoc reports on demand
Exposes Nile's event streaming and webhook APIs through MCP, allowing LLMs to configure webhooks for tenant events (user creation, data changes, auth events) and stream events to external systems. Implements event management by translating webhook configuration requests into Nile event APIs, handling event filtering, delivery retries, and tenant isolation automatically.
Unique: Automatically scopes webhooks to specific tenants, ensuring events from one tenant cannot trigger webhooks configured for another tenant; implements built-in event filtering and retry logic
vs alternatives: More reliable than custom event routing because Nile MCP handles delivery guarantees and retries; more flexible than polling because webhooks are event-driven and real-time
+2 more capabilities
Executes SQL queries against Supabase PostgreSQL instances through the Model Context Protocol, translating natural language or structured query requests into parameterized SQL statements. Uses MCP's tool-calling interface to expose database operations as callable functions with schema validation, enabling LLM agents to perform CRUD operations, joins, and aggregations with automatic connection pooling and credential management through Supabase client SDK.
Unique: Exposes Supabase PostgreSQL as MCP tools with automatic credential injection from Supabase client SDK, eliminating manual connection string management and enabling seamless LLM-to-database queries within Claude or compatible agents
vs alternatives: Tighter integration than generic SQL MCP servers because it leverages Supabase's built-in authentication and connection pooling rather than requiring separate database credential configuration
Exposes Supabase Auth session state and user metadata through MCP tools, allowing agents to inspect current authentication context, retrieve user profiles, and trigger auth-related operations. Integrates with Supabase's JWT-based auth system to validate sessions and access user claims without re-authenticating, using the Supabase client's built-in session management.
Unique: Integrates Supabase's JWT-based auth system directly into MCP tool interface, allowing agents to inspect and act on auth state without managing separate credential stores or re-authentication flows
vs alternatives: More seamless than generic auth MCP servers because it leverages Supabase's built-in session management and avoids redundant credential passing between agent and auth system
Invokes Supabase Edge Functions (serverless TypeScript/JavaScript functions) through MCP tools, passing parameters and receiving results with optional streaming support. Uses Supabase's edge function HTTP API to trigger functions with automatic authentication headers and response parsing, enabling agents to execute custom business logic without embedding it in the agent itself.
Supabase scores higher at 42/100 vs Nile Postgres at 22/100.
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Unique: Exposes Supabase Edge Functions as MCP tools with automatic authentication and response parsing, allowing agents to invoke custom serverless logic without managing HTTP clients or credential injection
vs alternatives: More integrated than generic HTTP MCP tools because it handles Supabase-specific authentication, error handling, and response formatting automatically
Subscribes to real-time changes on Supabase tables through MCP's event streaming interface, using Supabase's PostgreSQL LISTEN/NOTIFY mechanism to push INSERT, UPDATE, and DELETE events to agents. Maintains persistent WebSocket connections and filters events by table and row-level policies, enabling agents to react to database changes without polling.
Unique: Bridges Supabase's PostgreSQL LISTEN/NOTIFY real-time system with MCP's tool interface, enabling agents to subscribe to database changes without managing WebSocket connections or event serialization
vs alternatives: More efficient than polling-based approaches because it uses Supabase's native real-time infrastructure rather than repeated database queries
Manages files in Supabase Storage buckets through MCP tools, supporting upload, download, list, and delete operations with automatic authentication and path-based access control. Uses Supabase's S3-compatible storage API with built-in support for public/private buckets and signed URLs for temporary access, enabling agents to handle file I/O without managing cloud storage credentials.
Unique: Exposes Supabase Storage's S3-compatible API as MCP tools with automatic authentication and signed URL generation, eliminating the need for agents to manage cloud storage credentials or generate temporary access tokens
vs alternatives: More integrated than generic S3 MCP tools because it leverages Supabase's built-in bucket policies and authentication rather than requiring separate AWS credentials
Performs semantic similarity searches on vector embeddings stored in Supabase PostgreSQL using pgvector extension, translating natural language queries into embedding vectors and executing cosine/L2 distance searches. Integrates with embedding providers (OpenAI, Cohere) or uses pre-computed embeddings, enabling agents to retrieve semantically similar documents or records without full-text search limitations.
Unique: Integrates pgvector directly into MCP tools with automatic embedding generation and distance calculation, enabling agents to perform semantic search without managing separate vector database infrastructure
vs alternatives: More efficient than external vector databases (Pinecone, Weaviate) for Supabase users because it colocates embeddings with relational data, reducing network latency and simplifying data synchronization
Exposes Supabase database schema information through MCP tools, allowing agents to discover table structures, column types, constraints, and relationships without manual schema documentation. Queries PostgreSQL information_schema and Supabase metadata tables to dynamically generate schema descriptions, enabling agents to construct valid queries and understand data relationships.
Unique: Queries Supabase's PostgreSQL information_schema directly through MCP tools, enabling agents to dynamically discover and adapt to database schemas without pre-configured schema definitions
vs alternatives: More flexible than static schema definitions because it reflects live database state, including recent migrations or schema changes
Enforces Supabase Row-Level Security policies within agent queries, ensuring that agents can only access rows permitted by RLS rules defined in the database. Evaluates policies based on authenticated user context (JWT claims, user ID) and applies WHERE clause filters automatically, preventing unauthorized data access at the database layer rather than application layer.
Unique: Delegates authorization enforcement to PostgreSQL RLS policies rather than implementing authorization in agent code, ensuring that data access rules are centralized and cannot be bypassed by agent logic
vs alternatives: More secure than application-level authorization because RLS is enforced at the database layer, preventing accidental data leaks even if agent code has bugs
+1 more capabilities