MCP Servers for LangGraph

LangGraph is a library for building stateful, multi-actor applications with LLMs. It extends LangChain with a flexible graph system to coordinate agent workflows.

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  • Why this server?

    Referenced as part of research workflow implementation, though listed as requiring additional validation and re-integration

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    This is a Model Context Protocol (MCP) server adaptation of LangChain Ollama Deep Researcher. It provides the deep research capabilities as MCP tools that can be used within the model context protocol ecosystem, allowing AI assistants to perform in-depth research on topics (locally) via Ollama
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    5
    Python
    MIT License
    • Apple
    • Linux
  • Why this server?

    Provides compatibility with LangGraph for building agent workflows that can access and manipulate database data using the tools defined in the MCP server.

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    Open source MCP server specializing in easy, fast, and secure tools for Databases.
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    845
    Go
    Apache 2.0
    • Linux
  • Why this server?

    Provides access to LangGraph documentation through its llms.txt file, enabling contextual information retrieval for development tasks.

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    An MCP server that provides tools to load and fetch documentation from any llms.txt source, giving users full control over context retrieval for LLMs in IDE agents and applications.
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    177
    Python
    MIT License
    • Apple
  • Why this server?

    Utilizes LangGraph for creating complex AI workflows and model pipelines.

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    A server tool for running Deep Learning models that offers Shell execution, Ngrok connectivity, and Docker container hosting with support for multiple AI frameworks including Anthropic, Gemini, and OpenAI.
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    Python
    MIT License
  • Why this server?

    Mentioned as an example project that can be accessed through the GitMCP service, specifically through the GitHub Pages integration.

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    A free, open-source service that transforms GitHub projects into MCP endpoints, enabling AI assistants to access and understand project documentation without any setup.
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    1,882
    TypeScript
    Apache 2.0
    • Apple
    • Linux
  • Why this server?

    Leverages LangGraph for building the workflow that transforms user queries into optimized prompts

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    Serves prompt templates through a standardized protocol for transforming basic user queries into optimized prompts for AI systems.
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    Apache 2.0
  • Why this server?

    Provides access to LangGraph documentation through llms.txt, allowing tools to retrieve information about LangGraph features and capabilities.

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    An open-source MCP server that provides applications like Cursor, Windsurf, and Claude with access to llms.txt documentation files, allowing users to control and audit context retrieval.
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    4
    Python
    MIT License
    • Apple
    • Linux
  • Why this server?

    Supports building and implementing retrieval-based agent systems using the LangGraph framework.

  • Why this server?

    Integrates with LangGraph to provide the AI interface for the client component of the architecture

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    Enables intelligent web scraping through a browser automation tool that can search Google, navigate to webpages, and extract content from various websites including GitHub, Stack Overflow, and documentation sites.
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  • Why this server?

    Provides access to LangGraph documentation through dedicated corpus integration, enabling agents to efficiently retrieve information about this framework

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    An Agent Framework Documentation server that enables AI agents to efficiently retrieve information from documentation databases using hybrid semantic and keyword search for seamless agent integration.
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    Python
  • Why this server?

    Powers the workflow for processing and responding to weather queries

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    A Model Control Protocol (MCP) based service that allows users to query weather forecasts by coordinates and receive weather alerts for U.S. states.
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    • Linux
    • Apple
  • Why this server?

    Provides access to LangGraph documentation, allowing retrieval of specific documentation files and fetching additional content from URLs within those files.

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    A customized MCP server that enables integration between LLM applications and documentation sources, providing AI-assisted access to LangGraph and Model Context Protocol documentation.
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    • Linux
    • Apple
  • Why this server?

    Incorporates LangGraph for structuring the conversational flow and processing between the natural language queries and MLflow operations

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    A natural language interface for MLflow that allows users to query and manage their machine learning experiments and models using plain English through the Model Context Protocol.
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    • Linux
    • Apple