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"NestJS" matching MCP servers:

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    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.
    4
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    MCP server for managing notes with CRUD tools. It uses the same notes service as the GraphQL API, enabling natural language interaction with notes.
    47
    MIT
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    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.
    1
    MIT
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    A static-analysis knowledge base for TypeScript/NestJS codebases, served to AI agents over MCP for understanding code without hallucination and excessive token usage.
    MIT
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    A sample MCP server built with NestJS and TypeScript, demonstrating a ping tool for testing connectivity with MCP clients.
    54
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    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.
    100
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    MIT
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    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.
    32
    MIT
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    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.
    55
    MIT
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    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.
    22
    MIT
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    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.