Supabase ranks higher at 42/100 vs @modelcontextprotocol/fastify at 21/100. Capability-level comparison backed by match graph evidence from real search data.
| Feature | @modelcontextprotocol/fastify | Supabase |
|---|---|---|
| Type | Framework | MCP Server |
| UnfragileRank | 21/100 | 42/100 |
| Adoption | 0 | 0 |
| Quality | 0 |
| 0 |
| Ecosystem | 0 | 0 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 6 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
Adapts the Model Context Protocol TypeScript server SDK to run as native Fastify HTTP middleware, translating incoming HTTP requests into MCP protocol messages and routing them to registered MCP server handlers. Uses Fastify's request/response lifecycle hooks to intercept and transform protocol-level communication without requiring standalone MCP server processes.
Unique: Provides native Fastify middleware integration for MCP servers rather than requiring standalone server processes, enabling embedded protocol handling within existing HTTP applications using Fastify's plugin and hook system
vs alternatives: Eliminates the need for separate MCP server processes compared to running standalone MCP servers, reducing deployment complexity and enabling tighter integration with Fastify-based applications
Registers MCP server resources (documents, files, data) and tools (callable functions) as Fastify routes, automatically generating HTTP endpoints that map to MCP protocol handlers. Uses Fastify's route registration system to create a bidirectional mapping between HTTP paths and MCP resource/tool identifiers, with automatic schema validation and response serialization.
Unique: Automatically maps MCP tool and resource definitions to Fastify routes using the framework's native plugin and route registration system, eliminating manual endpoint definition while maintaining full MCP protocol semantics
vs alternatives: Reduces boilerplate compared to manually defining HTTP endpoints for each MCP tool, while maintaining compatibility with Fastify's ecosystem of plugins and middleware
Transforms incoming HTTP requests into MCP JSON-RPC 2.0 protocol messages and converts MCP responses back into HTTP-compatible JSON payloads. Implements protocol-level serialization/deserialization with automatic type coercion, error mapping, and response envelope handling to bridge the semantic gap between HTTP and MCP protocols.
Unique: Implements bidirectional protocol transformation using Fastify's request/response hooks to transparently convert between HTTP and MCP JSON-RPC 2.0 formats without exposing protocol details to HTTP clients
vs alternatives: Provides automatic protocol bridging compared to manual JSON-RPC handling, reducing client-side complexity and enabling standard HTTP clients to access MCP servers
Manages MCP server context (client metadata, session state, request-scoped resources) within Fastify's request/response lifecycle using decorators and hooks. Maintains per-request MCP context isolation, handles context cleanup on request completion, and provides access to MCP server state through Fastify's request object without cross-request contamination.
Unique: Integrates MCP context management directly into Fastify's request lifecycle using decorators and hooks, ensuring per-request isolation without requiring external session stores or global state
vs alternatives: Provides request-scoped MCP context management compared to standalone MCP servers which typically use global state, enabling multi-tenant and concurrent request handling within a single process
Provides TypeScript type definitions and runtime validation for MCP tool handlers and resource definitions, enabling compile-time type checking and runtime parameter validation. Uses TypeScript generics and discriminated unions to enforce type safety across tool definitions, handler implementations, and request/response payloads while maintaining compatibility with MCP protocol schemas.
Unique: Provides TypeScript-first type definitions for MCP handlers integrated with Fastify, enabling compile-time type checking and runtime validation without requiring separate validation libraries
vs alternatives: Offers better type safety than JavaScript-based MCP implementations, catching parameter mismatches at compile time rather than runtime
Enables MCP server functionality to be packaged as Fastify plugins, allowing modular composition of multiple MCP servers or tool groups within a single Fastify application. Uses Fastify's plugin system with encapsulation and dependency injection to organize MCP tools, resources, and handlers into reusable, composable modules with isolated namespaces and shared dependencies.
Unique: Leverages Fastify's native plugin system to enable modular MCP server architecture with encapsulation and dependency injection, rather than requiring custom module organization patterns
vs alternatives: Provides better modularity and code organization compared to monolithic MCP server implementations, while maintaining compatibility with Fastify's ecosystem of plugins
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/fastify at 21/100. @modelcontextprotocol/fastify leads on ecosystem, while Supabase is stronger on quality.
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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