The Stripe Agent Toolkit is a toolkit that supports the integration of multiple AI agent frameworks (such as OpenAI, LangChain, CrewAI, etc.) with the Stripe API. It provides support for Python and TypeScript, simplifying payment-related operations.

A Bilibili video search server based on the Model Context Protocol (MCP), providing API interfaces to support video content search, paginated queries, and video information return, including LangChain call examples and test scripts.

This project provides support for Model Context Protocol (MCP) tool calls for LangChain, enabling interaction with AI models through the MCP toolkit, such as file reading and summary generation.

MCPHub is an embeddable Model Context Protocol (MCP) solution for AI service integration. It provides a unified way of configuration and management, supports multiple AI frameworks (such as OpenAI Agents, LangChain, Autogen), and simplifies the connection between MCP servers and AI applications.

This project is an MCP client based on LangChain, used to demonstrate how to call MCP server tools through the LangChain ReAct Agent. It supports the LLMs of Anthropic, OpenAI, and Groq and provides the function of converting MCP tools to LangChain tools.

The project involves documentation, sample code repositories, and community resources for the LangChain framework, including technical content such as Python programming, AI agent development, FastAPI integration, and LLM fine-tuning.

The Higress OPS MCP Server is a service implementation based on the Model Context Protocol (MCP) for configuring and managing the Higress gateway. The project also provides an MCP client based on LangGraph and LangChain MCP Adapters, which interacts with the Higress MCP Server through a proxy flow architecture.

This project implements a document retrieval server based on the Model Context Protocol (MCP), which can dynamically obtain the latest official documentation content of Python libraries for AI assistants. It supports libraries such as LangChain, LlamaIndex, and OpenAI, conducts efficient searches through the SERPER API, and uses BeautifulSoup to parse HTML content. The project is designed to be extensible, facilitating the addition of support for more libraries.

Hippycampus is a CLI and MCP server based on LangChain that supports dynamic loading of OpenAPI specifications and integration with Langflow, providing visualization workflow creation capabilities.

A chat platform integrating LangChain, a custom MCP server, and Google Gemini AI model, providing enhanced conversation functions.

The LangChain MCP client is a project that demonstrates how to use MCP server tools through the LangChain ReAct agent. It supports flexible selection of LLM models and enables dynamic interaction via the CLI.

The OpenAPITools SDK is a multi - AI platform tool management library that provides a unified interface to support the integration and execution of tools for models such as Claude, GPT, and LangChain, and supports both local and API usage modes.

An MCP server project that enables Claude to directly access the documentation of popular libraries such as LangChain, LlamaIndex, and OpenAI, search through the Serper API and parse content using BeautifulSoup to enhance the AI's context understanding ability.

A project demonstrating the MCP protocol, including a server, client, and debugging tool, supporting SSE communication and JWT authentication, and integrating LangChain/LangGraph technology.

This project is a TypeScript library that converts MCP services into LangChain tools, simplifying the process of using MCP server tools in LangChain.

A documentation search server based on the MCP protocol that can retrieve the latest documentation of popular libraries such as Langchain in real-time, solving the problem of outdated knowledge in LLM models.

This project demonstrates the implementation of a microservice architecture based on the NestJS Model Context Protocol (MCP), including an MCP server that provides time context functions and a client that integrates LangChain.js, supporting multiple server connections.

A TypeScript client library that integrates LangChain.js with the Model Context Protocol

This project provides a server and client system based on the MCP protocol for obtaining research papers from arXiv. The server processes queries and retrieves relevant papers, and the client interacts with the server through the Streamlit interface, integrating tools such as LangChain and Groq to enhance query processing capabilities.

A simple MCP server that provides the function of obtaining the latest documentation for tools such as LangChain and OpenAI.

Learn how to build an MCP server to connect LLMs via LangChain

This project uses LangChain to implement the Model Context Protocol (MCP), including two core functions: Twitter information retrieval and arXiv paper retrieval.

A demonstration project for testing the creation of a simple MCP server and its integration with a LangChain agent

This project provides an adapter for seamlessly integrating the tools of the MCP (Multimodal Conversation Program) server into LangChain and LangGraph applications, supporting the use of MCP tools in AI application pipelines.

MCP - OpenLLM is a LangChain wrapper tool for seamless integration of different MCP servers and open - source large language models (LLMs), supporting the use of LangChain community models.

MCP-OpenLLM is a LangChain wrapper for seamless integration of different MCP servers and open-source large language models (LLMs), supporting the use of LangChain community models.

This project implements two types of MCP protocol servers: the Echo Server for testing and the Browser-use Server based on browser automation tools, supporting LangChain integration and interaction with OpenAI.

This is a Python - based MCP server project that supports searching documents from popular libraries such as LangChain, LlamaIndex, and OpenAI through the Serper API and uses BeautifulSoup to extract web page content.

This project demonstrates how to combine the DuckDuckGo MCP server with the LangChain Groq LLM agent to achieve intelligent search functionality.

This project demonstrates how to use the MCP protocol to connect multiple servers with different transport methods (stdio and SSE), including mathematical calculation and weather query functions, and integrates with LangChain to create intelligent agents.

The LangChain MCP server provides seamless access to the LangSmith prompt library, containing over 1000 community-verified AI prompts, supporting advanced search, metadata viewing, and version control, and is compatible with multiple MCP clients.

A terminal LLM chat application that supports langchain tools and MCP servers

This project implements an adapter between Langchain and the Box MCP server, integrating AI capabilities through tools and agents, supporting dynamic tool loading, creating React-style agents, and providing a friendly console interaction interface.

This project implements a Langchain - based chatbot system by building multiple MCP servers (mathematical calculation, weather query, LLM selection) and a client. Users can interact with the robot through the Streamlit interface.

A personality analysis application based on GitHub users' PR data, integrating LangChain and MCP services

A LangChain MCP implementation that integrates multiple data sources and services. It processes real-time data such as weather and stocks through an intelligent agent and automatically stores it in Elasticsearch.

An intelligent search engine that combines LangChain, MCP protocol, RAG technology, and Ollama, supporting web search, information retrieval, and answer generation, with the ability to call local and cloud LLMs.

An MCP (Model Context Protocol) server and client project based on FastMCP and LangChain, including installation dependencies and operation guides.

This project demonstrates how to integrate the Airbnb MCP server with LangChain and Groq through a browser interface, providing detailed setup steps from scratch and a quick start guide using an existing repository.

A simple MCP server for retrieving information from the official documentation of Langchain, Llama Index, and OpenAI, providing document search functionality.