"NestJS" matching MCP servers:

A NestJS module for building Model Context Protocol (MCP) servers using decorators to expose services as tools, resources, and prompts. It features auto-discovery, a built-in playground UI, and support for multiple transports including SSE and Stdio.

A demonstration implementation of Model Context Protocol (MCP) using NestJS framework, allowing developers to build MCP-compatible applications with playground testing capabilities.

A production-ready NestJS backend template with built-in MCP server enabling AI agents to query your data via standardized protocol, featuring RAG pipeline, semantic search, and comprehensive developer tooling.

Build MCP servers inside NestJS applications using ordinary controllers with decorators for tools, resources, and prompts, supporting authentication and authorization.

Give your AI coding agents the superpower to observe your NestJS application's runtime state in real-time.

A Model Context Protocol server implementation using NestJS with DDD/Clean Architecture support, providing tools for time retrieval, calculations, and note management with decorator-based tool definitions and dependency injection.

A NestJS module that allows services to be exposed as an MCP server with Server-Sent Events transport, facilitating tool discovery and execution by clients.

Enables AI assistants like Claude to interact with MongoDB databases through standardized MCP tools. Supports full CRUD operations, aggregations, and natural language queries with Clean Architecture and dual transport modes (STDIO/HTTP).

Converts REST API code (like NestJS controllers or FastAPI endpoints) to Postman collections and environments, helping developers automatically sync their API endpoints with Postman.

An MCP server that exposes structured Functional Requirements Documents (FRDs) to enable AI assistants like GitHub Copilot to automatically generate complete NestJS boilerplate architectures. It orchestrates the multi-phase creation of production-ready APIs including core CRUD, database integration, JWT authentication, and unit testing.

Generates API documentation in Confluence from Swagger/OpenAPI specs or NestJS controller files, including automatic Postman collection generation.

Converts existing Express, Fastify, NestJS, Hono, or Koa backends into an MCP-compatible server accessible to AI clients like Claude Desktop and Cursor.

Enables AI agents to call existing Node.js API routes as MCP tools across NestJS, Express, Fastify, Koa, Hono, and AdonisJS, preserving existing auth, validation, and middleware.

Builds rich code graphs from TypeScript/NestJS codebases using AST analysis and Neo4j, enabling semantic search, natural language querying, and intelligent graph traversal to provide deep contextual understanding of code relationships and dependencies.

Generates a Model Context Protocol server from an existing NestJS API's Swagger metadata, exposing endpoints as tools that execute through the real Nest request pipeline.

NestJS package that provides decorator-based tool discovery, TypeBox/AJV validation, and MCP SDK server construction for building MCP servers.

A static-analysis knowledge base for TypeScript/NestJS codebases, served to AI agents over MCP for understanding code without hallucination and excessive token usage.

A minimal NestJS MCP server skeleton for experimenting with the Model Context Protocol. Currently a placeholder with no implemented tools or resources.

NestJS-based MCP server for MySQL with session-level database selection and SQL safety controls. Enables executing SQL queries, listing databases, and connecting MySQL users with configurable safe modes.

A sample MCP server built with NestJS and TypeScript, demonstrating a ping tool for testing connectivity with MCP clients.