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
    3
    5
    Python
    MIT License
    • Apple
    • 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.
    177
    Python
    MIT License
    • Apple
  • 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.
    Python
    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.
    4
    Python
    MIT License
    • Apple
    • Linux
  • Why this server?

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

  • 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.
    Python
    • 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.
    3
    Python
    • Linux
    • Apple