| Ecosystem | 0 | 0 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 10 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
Provides a decorator-based framework for rapidly defining MCP (Model Context Protocol) servers in TypeScript, using class-based handlers and metadata annotations to reduce boilerplate. Decorators map resource definitions, tool handlers, and prompt templates to MCP protocol messages, automatically generating the underlying request/response serialization and routing logic without manual protocol implementation.
Unique: Uses TypeScript decorators and class-based handlers to abstract MCP protocol complexity, similar to how NestJS abstracts HTTP servers, rather than requiring manual JSON-RPC message construction
vs alternatives: Reduces MCP server boilerplate by 60-70% compared to raw MCP SDK implementations through declarative decorator syntax
Implements Server-Sent Events (SSE) as the underlying transport layer for MCP communication, enabling real-time streaming of tool results, resource updates, and prompt responses from server to client without WebSocket overhead. Uses HTTP long-polling semantics with automatic reconnection and message buffering to maintain session state across network interruptions.
Unique: Chooses SSE over WebSocket for MCP transport, enabling deployment in constrained environments (serverless, edge) while maintaining streaming semantics through HTTP long-polling with automatic reconnection
vs alternatives: More compatible with serverless platforms and existing HTTP infrastructure than WebSocket-based MCP implementations, at the cost of slightly higher latency for bidirectional communication
Automatically generates MCP tool schemas (JSON Schema format) from TypeScript function signatures and type annotations, eliminating manual schema duplication. Introspects parameter types, optional fields, and descriptions to produce validated tool definitions that enforce type safety at both definition and invocation time.
Unique: Leverages TypeScript's type system to eliminate manual schema writing, using compile-time type information to generate JSON Schema definitions automatically
vs alternatives: Reduces schema maintenance burden compared to frameworks requiring separate schema definitions (e.g., Zod, Joi) by deriving schemas directly from TypeScript types
Allows declarative definition of MCP resources (documents, data sources, or endpoints) that clients can discover and request. Supports both static resource definitions and dynamic content generation through handler functions, with automatic MIME type detection and content streaming for large payloads.
Unique: Integrates resource serving directly into the MCP server framework with declarative handlers, rather than requiring separate HTTP endpoints or external content delivery
vs alternatives: Simpler than building separate REST APIs for content delivery — resources are discovered and served through the same MCP protocol connection
Provides a declarative system for defining reusable prompt templates within the MCP server, with parameter injection and variable substitution. Templates can be discovered by clients and instantiated with runtime parameters, enabling Claude to request pre-built prompts optimized for specific tasks without constructing them from scratch.
Unique: Treats prompts as first-class MCP protocol resources with discovery and parameter binding, rather than hardcoding them in client applications
vs alternatives: Enables server-side prompt management and iteration without requiring client updates, compared to client-side prompt engineering
Implements a middleware pattern for intercepting and transforming MCP requests and responses before they reach handlers or are sent to clients. Supports chaining multiple middleware functions for cross-cutting concerns like logging, authentication, rate limiting, and response transformation without modifying handler code.
Unique: Applies Express.js-style middleware patterns to MCP protocol, enabling reusable request/response transformation logic without handler modification
vs alternatives: More flexible than hardcoding auth/logging in handlers — middleware chain allows composition of concerns and easier testing
Provides a framework for consistent error handling across tool calls and resource requests, with structured error responses that include error codes, messages, and optional context. Automatically serializes errors into MCP-compliant error objects that clients can parse and handle programmatically.
Unique: Structures errors as first-class MCP protocol objects with codes and context, enabling clients to programmatically handle failures rather than parsing error strings
vs alternatives: More robust than returning error strings — structured errors allow Claude to make informed decisions about retries and fallbacks
Provides a context object that flows through middleware and handlers, enabling type-safe storage and retrieval of request-scoped state (user identity, permissions, request metadata). Uses TypeScript generics to enforce type safety on context properties without runtime overhead.
Unique: Uses TypeScript generics to provide compile-time type safety for context properties, preventing runtime type errors from context access
vs alternatives: Type-safe context prevents bugs from accessing undefined properties compared to untyped context objects (e.g., Express req.locals)
+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 45/100 vs firecrawl-fastmcp at 25/100.
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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