Python Local MCP Server
python_local MCP Server
An MCP Server that provides an interactive Python REPL (Read-Eval-Print Loop) environment.
Components
Resources
The server provides access to REPL session history:
Custom
repl://URI scheme for accessing session historyEach session's history can be viewed as a text/plain resource
History shows input code and corresponding output for each execution
Tools
The server implements one tool:
python_repl: Executes Python code in a persistent sessionTakes
code(Python code to execute) andsession_idas required argumentsMaintains separate state for each session
Supports both expressions and statements
Captures and returns stdout/stderr output
Configuration
Install
Claude Desktop
On MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json
Development
Building and Publishing
To prepare the package for distribution:
Sync dependencies and update lockfile:
uv syncBuild package distributions:
uv buildThis will create source and wheel distributions in the dist/ directory.
Publish to PyPI:
uv publishNote: You'll need to set PyPI credentials via environment variables or command flags:
Token:
--tokenorUV_PUBLISH_TOKENOr username/password:
--username/UV_PUBLISH_USERNAMEand--password/UV_PUBLISH_PASSWORD
Debugging
Since MCP servers run over stdio, debugging can be challenging. For the best debugging experience, we strongly recommend using the MCP Inspector.
You can launch the MCP Inspector via npm with this command:
npx @modelcontextprotocol/inspector uv --directory /path/to/python_local run python-localUpon launching, the Inspector will display a URL that you can access in your browser to begin debugging.
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MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/Alec2435/python_mcp'
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