"NestJS" matching MCP servers:

Experimental MCP server built with NestJS and LangGraph, enabling tool execution and agent workflows via stdio transport. Supports OpenAI and Ollama models for flexible agent orchestration.

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

MCP server for managing notes with CRUD tools. It uses the same notes service as the GraphQL API, enabling natural language interaction with notes.

Enables AI agents to interact with existing NestJS backend services via MCP, providing tools to look up clients, list products, and create requests.

A NestJS MCP server that extracts tables from documents (PDF, etc.) into a single JSON file using OpenRouter's Claude Haiku model.

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.

Exposes database queries (Users, Products, Orders) from a NestJS backend to AI agents via MCP, enabling real-time database interactions in chat sessions.

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

Enables interaction with a PostgreSQL database via MCP, using Docker and NestJS for AI-powered database operations.

Framework-aware code intelligence MCP server that builds a cross-language dependency graph from source code. 53 integrations (Laravel, Django, Rails, Spring, NestJS, Next.js, and more) across 68 languages. 100+ tools for navigation, impact analysis, refactoring, security scanning, session memory, and CI/PR reports — up to 97% token reduction.

A NestJS-based server that enables AI agents to interact with Logseq graphs through its HTTP API for managing notes, journals, and blocks. It features specialized tools for project development tracking, including progress logs, technical decisions, and workflow prompts.

Enables deep, AST-based analysis of Next.js projects so MCP clients can understand route hierarchies, client/server boundaries, auth coverage, unused exports, and security issues directly from the codebase.

An MCP server that lets an AI agent drive and inspect a running Next.js app, with headless route/error introspection and a real DOM-based in-page bridge for interactive testing.

Provides MCP tools to manage a local-first Kanban board, including projects, issues, dependencies, and labels. Enables AI clients to interact with the board via a stdio MCP server connected to a NestJS API.

Multi-stack scaffolding engine for generating production-ready module structures (NestJS, Java Spring, Python FastAPI) directly from an MCP-compatible AI client, reducing token usage for boilerplate code.

Enables coding agents to locate the right files and conventions in a Next.js project in a single call, drastically reducing token usage compared to searching.