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Documentation Index

Fetch the complete documentation index at: https://mintlify.com/mcp-use/mcp-use/llms.txt

Use this file to discover all available pages before exploring further.

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Package Installation

Install mcp-use for Python using your preferred package manager: 
pip install mcp-use

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Installing LangChain Providers

mcp-use works with various LLM providers through LangChain. You’ll need to install the appropriate LangChain provider package for your chosen LLM: 
pip install langchain-openai
Only models with tool calling capabilities can be used with mcp-use. Make sure your chosen model supports function calling or tool use.
For other providers, check the LangChain chat models documentation.

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Optional Dependencies

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Sandbox Execution (E2B)

To use sandboxed execution for running MCP servers in isolated environments: 
pip install "mcp-use[e2b]"
You’ll also need an E2B API key. Sign up at e2b.dev to get your API key.

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Search Functionality

For enhanced search capabilities: 
pip install "mcp-use[search]"

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All Optional Dependencies

To install everything: 
pip install "mcp-use[dev,anthropic,openai,e2b,search]"

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Environment Setup

Create a .env file with your API keys:
.env
# LLM Provider Keys
OPENAI_API_KEY=your_openai_api_key
ANTHROPIC_API_KEY=your_anthropic_api_key
GOOGLE_API_KEY=your_google_api_key

# Optional: E2B for sandboxed execution
E2B_API_KEY=your_e2b_api_key

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Requirements

  • Python: 3.11 or higher
  • Operating System: Linux, macOS, or Windows
  • MCP Servers: Access to MCP server implementations (npm-based or Python-based)

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Verifying Installation

Verify your installation by running: 
import mcp_use
print(mcp_use.__version__)

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Installing from Source

For development or to use the latest features: 
git clone https://github.com/mcp-use/mcp-use.git
cd mcp-use/libraries/python
pip install -e ".[dev]"

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Next Steps

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