"LangGraph" matching MCP servers:

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

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.

Provides six tools including web search, URL fetching, calculator, and note management for use with LangGraph agents or manual testing via terminal.

A production-ready agent system that automatically discovers and uses tools from MCP servers using LangGraph's ReAct architecture and LLM-powered routing.

Enables LLM-powered agents to securely communicate with and orchestrate downstream microservices via FastAPI endpoints exposed as MCP tools.

Enables building and evaluating LangGraph agents over a protocol-level MCP server to measure failure rates across four agent topologies.

An MCP server that acts as a proxy to connect MCP clients to agent frameworks like Mastra and LangGraph, enabling agent discovery, dynamic server connections, and recursive agent networks.

Provides web search, dice rolling, text processing, and dad jokes tools, integrated with LangGraph for intelligent workflow orchestration.

A Model Context Protocol server that enables connecting LangChain or LangGraph agents to a MyShows.me profile, allowing users to manage and search for TV shows via API.

Domain-Driven MCP server for ed-tech workflows, exposing validated MCP tools backed by LangGraph agents, Supabase document retrieval, web search, and YouTube video discovery.

An MCP server that provides web search capabilities through the Tavily API and weather data retrieval tools. It demonstrates how to integrate external APIs into AI applications and build agentic workflows with LangGraph.

DingDawg Loop Protocol (DDLP) — safe scheduled AI agents with governance gates. Every loop execution is verified, receipted, and fail-closed. MCP-native, works with CrewAI, LangGraph, Claude Code, Cursor.

Enables running durable, traceable AI agents via LangGraph through a universal MCP interface, integrating with Hatchet for orchestration, logging, and retries. Provides tools for knowledge management (ingestion, RAG) and Kubernetes operations (diagnosis, auto-fix).

Enables AI agents to persist and restore checkpoint state, supporting crash recovery and replay for LangGraph-based workflows.

A LangGraph-powered MCP server for infrastructure orchestration with autonomous subagents.

Enables document search, record lookup, and text analysis over MCP with scoped permissions and LangGraph agent orchestration, served via FastAPI.

MCP server that coordinates multiple AI specialists (SQL database, document RAG, and web research) using LangGraph, routing each question to the relevant agents and synthesizing their responses into a single answer with honest confidence flags.

Enables multi-agent orchestration through a LangGraph supervisor and CrewAI-shaped crew, with in-process MCP tools and short- and long-term memory for research, tool use, and brief generation.

An MCP server for automated interaction with Gemini's web interface using Playwright and LangGraph, enabling task execution, deep research, file uploads, chat management, and dynamic selector verification via MCP tools.

Enables enterprise multi-agent decision workflows that expose 8+ MCP tools such as SQL query, web search, Python sandbox, RAG, file access, data cleaning, chart generation, and HTTP calls, orchestrated with LangGraph, streaming output, and human-in-the-loop approvals.