"LangGraph" matching MCP servers:

MCP server implementing clean architecture with LangGraph for building and managing agent workflows.

A clean, modular Model Context Protocol server implementation for LangGraph documentation, designed for easy extensibility with tools and resources.

Provides a standardized interface to interact with LangGraph agents through ChatGPT Enterprise, enabling conversational AI workflows with tools for agent invocation, streaming responses, and thread management.

Turns a shopping list FastAPI app into an MCP server, enabling a LangGraph chatbot to manage shopping lists via natural language.

Template for serving FastMCP servers over Streamable HTTP within a LangGraph Server, including an example math_add tool.

Demonstrates an MCP server with calculate and text_stats tools over Streamable HTTP, integrating with LangChain/LangGraph and n8n agents.

A collection of MCP servers demonstrating math operations, weather data, and LangGraph workflows.

Enables web search capabilities through the Tavily API and serves as a demonstration platform for building custom MCP tools. Designed for educational purposes to showcase MCP server development and LangGraph integration.

An MCP server with LangGraph agent integration that enables AI agents to use custom tools and external APIs for dice rolling, web search, social content creation, and GitHub access via STDIO transport.

Universal verifiable recovery for long-running AI agents with semantic checkpoints, idempotent action ledger and hash chained log as a deny by default MCP server. Framework agnostic with adapters for LangGraph, LangChain and OpenAI plus gateway and OTel.

A general-purpose MCP server with utility tools including datetime information, safe math calculations, text statistics, JSON extraction, knowledge base search, and HTTP GET requests. It demonstrates server-side MCP implementation and can be connected to Claude Desktop or LangGraph agents.

AI-powered document generation suite that creates comprehensive software documentation including requirements, design specs, test strategies, and deployment guides through LangGraph workflows. Integrates with Cursor IDE via MCP to transform project ideas into professional documentation suites.

Provides 18 tools including calculator operations (add, subtract, multiply, divide, power, sqrt, log, trigonometric functions) and secure sandboxed file operations (read, write, append, delete, list) for LangGraph agents and MCP clients. Features async support, YAML configuration, comprehensive logging, and path traversal protection.

A FastMCP server providing tools to manage and query a product database stored in a JSON format. It enables users to perform operations such as filtering products by category and retrieving product data through a LangGraph agent interface.

A simple MCP server combining FastMCP and LangGraph that enables AI agent interactions through tools for asking questions to an OpenAI-powered agent and receiving personalized greetings.

Enables LLMs to analyze any codebase from a GitHub URL, producing deep reports with code snippets, line numbers, and prioritized suggestions. It orchestrates seven MCP tools through LangGraph to perform code review, onboarding, bug investigation, and complexity analysis.

A calculator MCP server providing add and subtract tools, along with file resources and a code review prompt, supporting in-memory, HTTP, and STDIO transports. It also includes a LangGraph ReAct agent example that uses the tools.

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

A practice project demonstrating how to build Model Context Protocol servers with Python, LangGraph, and Groq, featuring a math server via stdio and a weather server via streamable-http, enabling arithmetic operations and mock weather queries through an AI agent.

An offline MCP server that provides LangChain and LangGraph documentation search via BM25 full-text search, enabling drop-in replacement for cloud-hosted docs in airgapped environments.