# MCP-Use — Build Full-Stack MCP Apps

> MCP-Use is a full-stack framework for building MCP apps that work with ChatGPT, Claude, and any AI agent. 9.6K+ stars. Python SDK. MIT.

## Install

Merge the JSON below into your `.mcp.json`:

#!/usr/bin/env python3
"""
MCP-Use — Build Full-Stack MCP Apps

Full-stack framework for developing MCP applications that work with
ChatGPT, Claude, and other AI agents. 9.6K+ GitHub stars.

Quick start:
    pip install mcp-use
    
GitHub: https://github.com/mcp-use/mcp-use
License: MIT
"""

# === Quick Use ===
# pip install mcp-use

from mcp_use import MCPClient, MCPAgent
from langchain_openai import ChatOpenAI

# Connect to any MCP server
client = MCPClient.from_config({
    "mcpServers": {
        "filesystem": {
            "command": "npx",
            "args": ["-y", "@modelcontextprotocol/server-filesystem", "/tmp"]
        }
    }
})

# Create an agent that can use MCP tools
llm = ChatOpenAI(model="gpt-4o")
agent = MCPAgent(llm=llm, client=client)

# The agent can now use any tool from the connected MCP servers
result = agent.run("List all files in /tmp and summarize their contents")
print(result)

# === Key Features ===
# - Connect to multiple MCP servers simultaneously
# - Works with any LLM (OpenAI, Anthropic, local models)
# - LangChain integration for complex chains
# - Automatic tool discovery and execution
# - Streaming support
# - Error handling and retry logic
# - TypeScript and Python SDKs

# === Multi-Server Example ===
multi_config = {
    "mcpServers": {
        "filesystem": {
            "command": "npx",
            "args": ["-y", "@modelcontextprotocol/server-filesystem", "."]
        },
        "github": {
            "command": "npx",
            "args": ["-y", "@modelcontextprotocol/server-github"],
            "env": {"GITHUB_TOKEN": "ghp_..."}
        }
    }
}

client = MCPClient.from_config(multi_config)
agent = MCPAgent(llm=llm, client=client)

# Agent can use tools from BOTH servers
result = agent.run("Read my README.md and create a GitHub issue summarizing it")
print(result)


---
Source: https://tokrepo.com/en/workflows/0edfad7e-d0f4-4be8-87a0-280c8e3e1129
Author: MCP Hub