| Ecosystem | 0 | 0 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 12 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
Provides a NestJS module decorator and provider system that integrates the Model Context Protocol server lifecycle into NestJS's dependency injection container, enabling declarative MCP server setup through standard NestJS module imports and configuration. Uses NestJS's OnModuleInit and OnModuleDestroy lifecycle hooks to manage MCP server initialization, resource binding, and graceful shutdown within the existing NestJS application context.
Unique: Bridges NestJS's module system and dependency injection container directly with MCP server lifecycle, allowing MCP resources to be declared as NestJS providers and injected into controllers/services, rather than requiring separate MCP server instantiation outside the NestJS context
vs alternatives: Unlike standalone MCP server libraries, mcp-nest eliminates boilerplate by leveraging NestJS's existing module architecture, making MCP integration feel native to NestJS developers rather than bolted-on
Provides TypeScript decorators (@MCP, @MCPResource, @MCPTool, @MCPPrompt) that allow developers to annotate NestJS service methods as MCP resources, tools, or prompts. The decorator system introspects method signatures, parameter types, and JSDoc comments to automatically generate MCP resource schemas and register them with the MCP server without manual schema definition.
Unique: Uses TypeScript's reflect-metadata and decorator introspection to extract parameter types and JSDoc annotations at compile-time, generating MCP schemas automatically rather than requiring developers to write separate schema files or manual schema objects
vs alternatives: Reduces MCP schema boilerplate compared to raw MCP SDK by 60-80% for typical use cases, since schema generation is automatic from TypeScript types rather than requiring parallel schema definitions
Provides exception filters that catch NestJS exceptions and service errors, mapping them to MCP-compliant error responses with appropriate error codes and messages. Handles both expected errors (validation failures, resource not found) and unexpected errors (database failures, timeouts) with configurable error detail levels, ensuring Claude receives actionable error information without exposing sensitive implementation details.
Unique: Applies NestJS's exception filter system to MCP tool errors, providing consistent error handling across REST and MCP endpoints with configurable error detail levels based on environment
vs alternatives: Reuses NestJS's exception filter infrastructure for MCP error handling, avoiding duplicate error handling logic compared to standalone MCP servers that require separate error mapping
Automatically generates human-readable documentation for MCP resources, tools, and prompts from TypeScript method signatures, JSDoc comments, and parameter decorators. Produces documentation in multiple formats (Markdown, HTML, JSON) suitable for Claude's context window or external documentation sites, keeping documentation synchronized with code without manual updates.
Unique: Generates MCP resource documentation automatically from TypeScript metadata and JSDoc comments, keeping documentation synchronized with code without manual updates, whereas raw MCP servers require separate documentation maintenance
vs alternatives: Eliminates manual documentation maintenance by extracting documentation from code metadata, reducing the risk of documentation drift compared to standalone documentation files
Automatically routes incoming MCP tool calls to decorated NestJS service methods, resolving all dependencies through NestJS's dependency injection container before method invocation. Handles parameter marshaling from MCP request format to TypeScript method arguments, error handling, and response serialization back to MCP protocol format, all while maintaining NestJS's service lifecycle and transaction context.
Unique: Integrates MCP tool execution directly into NestJS's request lifecycle, allowing tools to use NestJS guards, interceptors, pipes, and exception filters — treating MCP tool calls as first-class NestJS requests rather than external protocol messages
vs alternatives: Enables reuse of existing NestJS middleware and validation logic for MCP tools, whereas standalone MCP servers require duplicate validation and authentication logic
Validates generated or manually-defined MCP resource schemas against the MCP specification before server startup, ensuring type correctness, required field presence, and schema structure compliance. Provides a registry system that tracks all registered resources, tools, and prompts with their schemas, enabling runtime introspection and preventing duplicate registrations or conflicting resource names.
Unique: Performs MCP schema validation at NestJS module initialization time using the MCP specification, catching schema errors before the server accepts client connections, rather than discovering them when Claude attempts to call a tool
vs alternatives: Prevents runtime tool call failures due to schema mismatches by validating all schemas upfront, whereas raw MCP SDK only validates schemas when tools are actually invoked
Abstracts the underlying MCP transport layer, allowing a single MCP server implementation to be exposed via multiple transports (stdio for CLI, Server-Sent Events for HTTP, WebSocket for bidirectional communication) through configuration. Routes MCP protocol messages through the appropriate transport handler based on server configuration, enabling the same NestJS service logic to serve different client types without code duplication.
Unique: Provides a transport abstraction layer that decouples MCP server logic from transport implementation, allowing the same NestJS service code to be exposed via stdio, SSE, and WebSocket through configuration rather than separate server implementations
vs alternatives: Eliminates the need to maintain separate MCP server implementations for different transports, whereas raw MCP SDK requires explicit transport selection and separate initialization code for each transport type
Manages MCP request context (client identity, session state, request metadata) within NestJS's request scope, allowing service methods to access context via dependency injection or context providers. Implements request-scoped providers that maintain context across the entire MCP tool execution chain, enabling stateful operations and per-client isolation without manual context threading through method parameters.
Unique: Leverages NestJS's request-scoped dependency injection to automatically manage MCP context lifecycle, ensuring each MCP request gets isolated context without manual context passing, whereas raw MCP servers require explicit context threading through method parameters
vs alternatives: Provides automatic per-request state isolation through NestJS's DI container, reducing boilerplate compared to manually threading context through service method calls
+4 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 @rekog/mcp-nest at 23/100.
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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