LANGGRAPH MCP AGENTS

What is LANGGRAPH-MCP-AGENTS?

LangGraph MCP Agents is an experimental project that transforms tools defined under the Modular Communication Protocol (MCP) into autonomous agents using the LangGraph framework. It enables effective task sharing and collaboration between these agentified MCP tools, such as planning, coding, and execution tasks.

How to use LANGGRAPH-MCP-AGENTS?

Clone the repository, install dependencies with pip install -r requirements.txt, then run python app_cli.py to start the CLI chatbot. The project uses a mcp_config.json to configure MCP servers (filesystem, SQLite, memory) and an mcp_client.py module to manage server connections and tool execution.

Key features of LANGGRAPH-MCP-AGENTS

• Transforms MCP tools into LangGraph‑powered autonomous agents.
• Manages multiple MCP server connections and tool initialization.
• Provides a command‑line chatbot interface using the OpenAI language model.
• Supports tool execution and resource cleanup via MCPServer class.
• Configurable via mcp_config.json for filesystem, SQLite, and memory servers.
• Licensed under the MIT License – free to use, modify, and distribute.

Use cases of LANGGRAPH-MCP-AGENTS

• Converting existing MCP tools (e.g., code execution, planning) into collaborative agents.
• Building a multi‑agent chatbot that delegates tasks to different MCP servers.
• Experimenting with agent orchestration on top of the MCP protocol using LangGraph.
• Prototyping autonomous workflows that combine filesystem, database, and memory tools.