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LANGGRAPH-MCP-AGENTS

by serkanyasr

LangGraph MCP Agents is an experimental project transforming tools defined under MCP into autonomous agents using the LangGraph framework. It aims to enable effective task sharing and collaboration between these agents.

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What is LANGGRAPH-MCP-AGENTS?

LangGraph MCP Agents is an experimental project that transforms tools defined under MCP (Modular Communication Protocol) into autonomous agents using the LangGraph framework. It focuses on enabling effective task sharing and collaboration between agents.

How to use LANGGRAPH-MCP-AGENTS?

To use LangGraph MCP Agents, first ensure you have Python and Pip installed. Clone the repository, navigate to the project directory, and install the dependencies using pip install -r requirements.txt. Run the agents using python {entrypoint}.

Key features of LANGGRAPH-MCP-AGENTS

  • Transforms MCP tools into autonomous agents

  • Utilizes the LangGraph framework

  • Enables task sharing and collaboration

  • Supports various data storage systems (filesystem, SQLite, memory)

Use cases of LANGGRAPH-MCP-AGENTS

  • Building collaborative AI agents

  • Automating tasks using MCP-defined tools

  • Integrating different data storage systems with AI agents

  • Developing modular and scalable AI systems

FAQ from LANGGRAPH-MCP-AGENTS

What is MCP?

MCP stands for Modular Communication Protocol, a way to define tools with tasks like planning, coding, and execution.

What is LangGraph?

LangGraph is a framework for building conversational AI agents.

What is the purpose of mcp_config.json?

mcp_config.json configures the Model Context Protocol servers, specifying the commands and arguments for different server types.

How do I contribute to this project?

You can contribute by joining discussions, reporting issues, or submitting pull requests. See the Contributing section in the README for details.

What license is this project under?

This project is licensed under the MIT License.