Which integrations are available for this server?

Provides the ability to execute [Python](/mcp/servers/integrations/python) code in a sandboxed environment using pyodide, allowing safe Python code execution isolated from the operating system.

MCP Run Python

Model Context Protocol server to run Python code in a sandbox.

The code is executed using Pyodide in Deno and is therefore isolated from the rest of the operating system.

See

The server can be run with deno installed using:

deno run \ -N -R=node_modules -W=node_modules --node-modules-dir=auto \ jsr:@pydantic/mcp-run-python [stdio|streamable_http|sse|warmup]

where:

-N -R=node_modules -W=node_modules (alias of --allow-net --allow-read=node_modules --allow-write=node_modules) allows network access and read+write access to ./node_modules. These are required so pyodide can download and cache the Python standard library and packages
--node-modules-dir=auto tells deno to use a local node_modules directory
stdio runs the server with the Stdio MCP transport — suitable for running the process as a subprocess locally
streamable_http runs the server with the Streamable HTTP MCP transport - suitable for running the server as an HTTP server to connect locally or remotely. This supports stateful requests, but does not require the client to hold a stateful connection like SSE
sse runs the server with the SSE MCP transport — suitable for running the server as an HTTP server to connect locally or remotely. Note that the SSE transport has been deprecated in newer MCP protocol versions and is there to maintain backwards compatibility.
warmup will run a minimal Python script to download and cache the Python standard library. This is also useful to check the server is running correctly.

Here's an example of using @pydantic/mcp-run-python with Pydantic AI:

from pydantic_ai import Agent from pydantic_ai.mcp import MCPServerStdio import logfire logfire.configure() logfire.instrument_mcp() logfire.instrument_pydantic_ai() server = MCPServerStdio('deno', args=[ 'run', '-N', '-R=node_modules', '-W=node_modules', '--node-modules-dir=auto', 'jsr:@pydantic/mcp-run-python', 'stdio', ]) agent = Agent('claude-3-5-haiku-latest', toolsets=[server]) async def main(): async with agent: result = await agent.run('How many days between 2000-01-01 and 2025-03-18?') print(result.output) #> There are 9,208 days between January 1, 2000, and March 18, 2025.w if __name__ == '__main__': import asyncio asyncio.run(main())