What are the runtime requirements?
Python and pip are required. All dependencies are listed in `requirements.txt` and include `mcp`, `langgraph`, `langchain`, `python-dotenv`, `langchain-mcp-adapters`, and `rich`.
LANGGRAPH MCP AGENTS
@serkanyasr
Basic information
About LANGGRAPH MCP AGENTS
Transforms MCP tools into collaborative agents using the LangGraph framework.
LANGGRAPH MCP AGENTS config
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryLANGGRAPH MCP AGENTS tools
Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
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.jsonfor 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.
Frequently asked questions
How do I install LANGGRAPH-MCP-AGENTS?
Clone the repository, navigate to the project directory, and run `pip install -r requirements.txt`. No additional package manager is needed.
Is LANGGRAPH-MCP-AGENTS production-ready?
No. The project is explicitly marked as experimental and intended for exploration and prototyping.
What servers are supported by default?
The `mcp_config.json` provides example configurations for filesystem, SQLite, and memory MCP servers. The `MCPClient` class can load arbitrary server configurations.
How are MCP servers managed?
The `mcp_client.py` module contains `MCPClient` and `MCPServer` classes. `MCPClient` manages connections to multiple servers, starts them, initializes tools, and handles cleanup.
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