MCP Servers for LangChain

LangChain is a framework for developing applications powered by language models, providing tools and components to build context-aware, reasoning applications that integrate with external data sources.

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  • Why this server?

    Uses LangChain's MarkdownTextSplitter to split file content into chunks for the knowledge base.

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    Provides tools for listing and retrieving content from different knowledge bases using semantic search capabilities.
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    TypeScript
    The Unlicense
    • Linux
    • Apple
  • Why this server?

    Generates LangChain-compatible tool implementations from Postman API collections, enabling integration with the LangChain framework.

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    An MCP server that generates AI agent tools from Postman collections and requests. This server integrates with the Postman API to convert API endpoints into type-safe code that can be used with various AI frameworks.
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    7
    JavaScript
    MIT License
  • Why this server?

    Provides MCP tool calling support in LangChain, allowing for the integration of MCP tools into LangChain workflows

    punkpeye
    Verified
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    Test
    8,937
    MIT License
    • Linux
    • Apple
  • Why this server?

    Uses LangChain's ReAct Agent to interact with MCP server tools through the convert_mcp_to_langchain_tools() utility function.

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    This server facilitates the invocation of AI models from providers like Anthropic, OpenAI, and Groq, enabling users to manage and configure large language model interactions seamlessly.
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    Python
    MIT License
  • Why this server?

    Based on LangChain Ollama Deep Researcher, providing workflow orchestration for multi-step research tasks

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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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    Python
    MIT License
    • Apple
    • Linux
  • Why this server?

    Uses LangChain for creating simple LLM Prompt chains to generate image generation prompts from topics

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    The Comfy MCP Server uses the FastMCP framework to generate images from prompts by interacting with a remote Comfy server, allowing automated image creation based on workflow configurations.
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    Python
    MIT License
  • Why this server?

    The README mentions 'If you want langchain_example.py to work, uv sync --extra langchain instead', suggesting integration with LangChain.