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Python implementation of the Model Context Protocol (MCP), providing both client and server capabilities for integrating with LLM surfaces.
The Model Context Protocol allows applications to provide context for LLMs in a standardized way, separating the concerns of providing context from the actual LLM interaction. This Python SDK implements the full MCP specification, making it easy to:
uv add mcpfrom mcp import ClientSession
from mcp.client.stdio import stdio_client
async with stdio_client(command="path/to/server") as (read, write):
async with ClientSession(read, write) as session:
# Initialize the connection
await session.initialize()
# List available resources
resources = await session.list_resources()from mcp.server import Server
from mcp.server.stdio import stdio_server
# Create a server instance
server = Server("example-server")
# Add capabilities
@server.list_resources()
async def list_resources():
return [
{
"uri": "file:///example.txt",
"name": "Example Resource"
}
]
# Run the server
async with stdio_server() as (read, write):
await server.run(read, write, server.create_initialization_options())Issues and pull requests are welcome on GitHub at https://github.com/modelcontextprotocol/python-sdk.
This project is licensed under the MIT License - see the LICENSE file for details.
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