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?

    Enables integration with LangChain through langchain-mcp-adapters, allowing AI agents to interact with Wikidata's knowledge graph through the Model Context Protocol.

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    A server implementation for interacting with Wikidata API using the Model Context Protocol, providing tools for searching identifiers, extracting metadata, and executing SPARQL queries.
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    8
    Python
    MIT License
  • Why this server?

    Draws inspiration from LangChain for memory management capabilities

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    A flexible memory system for AI applications that supports multiple LLM providers and can be used either as an MCP server or as a direct library integration, enabling autonomous memory management without explicit commands.
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    JavaScript
    MIT License
  • Why this server?

    Supports integration with LangChain agent frameworks for utilizing Reddit browsing and search capabilities.

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    A plug-and-play MCP server that enables AI assistants to browse, search, and read Reddit content through the PRAW library.
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    MIT License
    • Apple
  • 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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    MIT License
    • Apple
    • Linux
  • 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?

    Enables integration with LangChain framework, allowing agents to leverage database tools and execute queries through the MCP Toolbox server.

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

    Integrates with LangChain, enabling the use of Gateway's auto-generated APIs within LangChain applications and workflows.

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    MCP-Server from your Database optimized for LLMs and AI-Agents. Supports PostgreSQL, MySQL, ClickHouse, Snowflake, MSSQL, BigQuery, Oracle Database, SQLite, ElasticSearch, DuckDB
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    Go
    Apache 2.0
    • Linux
  • Why this server?

    Incorporates LangChain technology for building applications with language models.

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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?

    Enables AI agents to use custom hiring tools through LangChain, allowing integration of recruitment capabilities with LangChain agents

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    Our MCP Tools are designed to enhance AI-driven automated interview services by ensuring a seamless and contextually relevant candidate assessment process. These tools leverage advanced AI models to analyze responses, evaluate competencies, and provide real-time feedback, ma
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  • Why this server?

    Integrates with LangChain to provide agent-based search capabilities and facilitate the creation of agentic AI systems that can search the web and retrieve information.

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    Provides a standardized protocol for tool invocation, enabling an AI system to search the web, retrieve information, and provide relevant answers through integration with LangChain, RAG, and Ollama.
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    Python
    MIT License
  • Why this server?

    Integrates with LangChain for AI-powered diagram generation, enabling enhanced text-to-diagram generation, code-to-diagram conversion, and visualization of differences between code versions.

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    archy
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    4
    TypeScript
    Apache 2.0
    • Apple
    • Linux
  • Why this server?

    Enables integration with LangChain, allowing the EPICS MCP Server to be used as part of LangChain workflows for controlling and monitoring EPICS Process Variables.

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    A Python-based server that interacts with EPICS process variables, allowing users to retrieve PV values, set PV values, and fetch detailed information about PVs through a standardized interface.
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    Python
    MIT License
  • Why this server?

    Utilizes LangChain to connect large language models (specifically Gemini) to the Wolfram Alpha API, facilitating the creation of AI clients that can interact with the MCP server

  • Why this server?

    Referenced as a related project through langchain-mcp-adapters, enabling the use of MCP tools with LangChain.

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    A custom Model Context Protocol server that gives Claude Desktop and other LLMs access to file system operations and command execution capabilities through standardized tool interfaces.
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    Apache 2.0
    • Apple
    • Linux
  • 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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    MIT License
  • Why this server?

    Integrates with LangChain to provide structured prompt templates and processing workflows

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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?

    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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    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.

  • Why this server?

    Provides foundational components for building the weather information service

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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?

    Retrieves information from LangChain's official documentation, allowing users to search and access relevant documentation snippets through the get_docs tool.

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    A simple Model Context Protocol server that enables searching and retrieving relevant documentation snippets from Langchain, Llama Index, and OpenAI official documentation.
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    • Linux
  • Why this server?

    Provides search and retrieval of up-to-date Langchain documentation, enabling access to the latest library information beyond LLM knowledge cutoff dates.

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    An MCP server that fetches real-time documentation for popular libraries like Langchain, Llama-Index, MCP, and OpenAI, allowing LLMs to access updated library information beyond their knowledge cut-off dates.
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    Python
  • Why this server?

    Uses LangChain's agent framework to facilitate natural language interactions with MLflow data and 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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    • Apple
  • Why this server?

    Enables searching and retrieving information from LangChain documentation to assist with usage questions

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    An MCP server that integrates with Claude to provide smart documentation search capabilities across multiple AI/ML libraries, allowing users to retrieve and process technical information through natural language queries.
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    Python
  • Why this server?

    Provides access to LangChain documentation, allowing AI assistants to retrieve specific information about the LangChain framework for building AI applications

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    Implements the Model Context Protocol (MCP) to provide AI models with a standardized interface for connecting to external data sources and tools like file systems, databases, or APIs.
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    • Apple
    • Linux