LangGraph MCP Provider

This module provides integration with LangGraph, allowing conversion between MCP tools and LangGraph’s tool format.

Overview

The primary function in this module is to_langgraph_tools, which takes a NostrMCPClient instance and converts the available MCP tools into a list of tools compatible with LangGraph agents, such as those created with langgraph.prebuilt.create_react_agent.

Usage

from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI
from agentstr import NostrMCPClient
from agentstr.mcp.providers.langgraph import to_langgraph_tools

# Assume nostr_mcp_client is an initialized and connected NostrMCPClient
async def setup_langgraph_agent(nostr_mcp_client: NostrMCPClient):
    # Convert MCP tools to LangGraph format
    langgraph_tools = await to_langgraph_tools(nostr_mcp_client)

    # Create a LangGraph agent with the converted tools
    agent = create_react_agent(
        model=ChatOpenAI(),
        tools=langgraph_tools,
        prompt="You are a helpful assistant",
    )
    return agent

Note

For a complete, working example, check out the LangGraph Agent example.

Reference

See Also

• LangGraph Provider — For using LangGraph agents with Agentstr.

• agentstr.mcp.nostr_mcp_client.NostrMCPClient — The client used to fetch MCP tools.