Supabase ranks higher at 42/100 vs @modelcontextprotocol/express at 23/100. Capability-level comparison backed by match graph evidence from real search data.
| Feature | @modelcontextprotocol/express | Supabase |
|---|---|---|
| Type | MCP Server | MCP Server |
| UnfragileRank | 23/100 | 42/100 |
| Adoption | 0 | 0 |
| Quality | 0 |
| 0 |
| Ecosystem | 0 | 0 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 8 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
Provides Express middleware adapters that expose Model Context Protocol servers over HTTP, translating incoming HTTP requests to MCP protocol messages and routing them to the appropriate server handlers. Uses Express routing patterns to map HTTP endpoints to MCP resource and tool operations, enabling REST-like access to MCP capabilities through standard HTTP verbs and JSON payloads.
Unique: Provides native Express middleware bindings for MCP protocol, allowing developers to compose MCP servers with standard Express patterns (routing, middleware chains, error handlers) rather than requiring custom HTTP translation layers
vs alternatives: Tighter integration with Express ecosystem than generic HTTP wrappers, enabling reuse of existing Express middleware for auth, logging, and request processing without custom adapter code
Translates between MCP protocol message formats (resources, tools, prompts) and HTTP request/response semantics, mapping MCP operations like resource reads, tool invocations, and prompt completions to HTTP endpoints with appropriate methods and status codes. Handles bidirectional serialization of MCP types (TextContent, ImageContent, ToolResult) into JSON-compatible HTTP payloads.
Unique: Implements bidirectional MCP↔HTTP translation as Express middleware rather than as a separate translation layer, allowing protocol conversion to be composed with other middleware in the request pipeline
vs alternatives: Cleaner separation of concerns than monolithic HTTP servers, enabling developers to add authentication, logging, or custom routing before/after protocol translation without modifying core translation logic
Routes HTTP POST requests to MCP tool definitions, validates input parameters against tool schemas, invokes the underlying tool handler, and returns structured results as HTTP responses. Implements parameter binding from HTTP request bodies to tool function signatures, with support for complex argument types and error handling that maps tool execution failures to appropriate HTTP status codes.
Unique: Integrates MCP tool schema validation directly into Express request handling, allowing parameter validation to occur as middleware before tool execution rather than requiring separate validation layers
vs alternatives: Leverages Express routing and middleware patterns for tool invocation, making it familiar to Node.js developers and enabling composition with standard Express auth/logging middleware vs. custom tool invocation frameworks
Exposes MCP resources as HTTP endpoints, mapping resource URIs to HTTP GET requests and serving resource content with appropriate Content-Type headers. Implements content negotiation for resources that support multiple MIME types (e.g., text vs. binary), and handles resource metadata (size, modification time) as HTTP headers. Supports both simple text resources and complex content types through proper HTTP serialization.
Unique: Maps MCP resource URIs directly to Express routes with automatic Content-Type detection and HTTP header generation, eliminating boilerplate for serving MCP resources over HTTP
vs alternatives: Simpler than building custom resource serving logic, as it reuses Express static file serving patterns while maintaining MCP resource semantics and metadata
Exposes MCP prompt definitions as HTTP endpoints, allowing clients to request prompt templates with variable substitution. Implements parameter binding from HTTP request bodies or query strings to prompt template variables, renders the prompt with provided arguments, and returns the rendered prompt as HTTP JSON responses. Supports both simple text prompts and complex multi-argument prompts with validation.
Unique: Integrates MCP prompt definitions into Express routing, allowing prompt templates to be served as HTTP endpoints with automatic parameter validation and rendering
vs alternatives: Eliminates custom prompt serving code by leveraging Express routing and MCP prompt schemas, making it easier to expose prompt libraries as HTTP APIs without building separate template engines
Maps MCP protocol errors and exceptions to appropriate HTTP status codes and error response formats, translating MCP error types (InvalidRequest, InternalError, etc.) to HTTP semantics (400, 500, etc.). Implements Express error middleware that catches MCP-specific exceptions and formats them as JSON error responses with error codes, messages, and optional stack traces for debugging.
Unique: Provides Express error middleware that automatically translates MCP error types to HTTP status codes, eliminating boilerplate error handling code in route handlers
vs alternatives: Cleaner than manual error handling in each route, as it centralizes error translation logic and ensures consistent error response formats across all MCP HTTP endpoints
Enables composition of Express middleware with MCP protocol handling, allowing developers to add authentication, logging, rate limiting, and other cross-cutting concerns to MCP HTTP endpoints. Implements middleware chaining patterns where MCP protocol translation occurs as a middleware step, allowing other middleware to execute before/after protocol handling. Supports both pre-processing (auth, validation) and post-processing (logging, response transformation) middleware.
Unique: Integrates MCP protocol handling as a composable Express middleware step, allowing standard Express middleware (auth, logging, rate limiting) to work seamlessly with MCP without custom adaptation
vs alternatives: Leverages existing Express middleware ecosystem rather than requiring custom MCP-specific middleware, reducing code duplication and enabling reuse of battle-tested libraries like passport, morgan, and express-rate-limit
Provides TypeScript type definitions and interfaces for MCP HTTP adapter, enabling compile-time type checking of MCP server configurations, request handlers, and response objects. Implements generic types for tool invocations, resource access, and prompt rendering that enforce type safety across the HTTP boundary. Supports type inference from MCP server definitions to catch type mismatches at compile time rather than runtime.
Unique: Provides native TypeScript bindings for MCP HTTP adapter, enabling type inference from MCP server definitions to Express request/response handlers without manual type annotations
vs alternatives: Better type safety than generic HTTP frameworks, as types flow from MCP definitions through HTTP handlers, catching type mismatches at compile time rather than runtime
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 @modelcontextprotocol/express at 23/100. @modelcontextprotocol/express leads on ecosystem, while Supabase is stronger on quality.
Need something different?
Search the match graph →© 2026 Unfragile. Stronger through disorder.
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