About Python MCP
Python MCP is an MCP server published by Alec2435 in the Developer Tools category: mCP Server to run python code locally.
The repository has 54 stars and 15 forks, with the last commit a year ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.
Install
git clone https://github.com/Alec2435/python_mcpThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
Tools (1)
python_replExecutes Python code in a persistent session
Parameters not published.
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Security checks
Static checks derived from the repository 6 days ago. Heuristics on the source, not an audit.
- ✓README presentThe repository ships documentation.
- !License declaredNo license file. Legally you have no right to use it in a product.
- !Tests presentNo tests found. Behaviour changes may go unnoticed between versions.
- ✓Dependencies pinnedA lockfile pins dependency versions.
- !No dynamic code executionSource scan found eval or shell execution. Review how tool inputs reach it before granting credentials.
- !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.
README
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 history - Each 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 session- Takes
code(Python code to execute) andsession_idas required arguments - Maintains separate state for each session
- Supports both expressions and statements
- Captures and returns stdout/stderr output
- Takes
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 sync
- Build package distributions:
uv build
This will create source and wheel distributions in the dist/ directory.
- Publish to PyPI:
uv publish
Note: You'll need to set PyPI credentials via environment variables or command flags:
- Token:
--tokenorUV_PUBLISH_TOKEN - Or 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-local
Upon launching, the Inspector will display a URL that you can access in your browser to begin debugging.
README fetched from the repository 6 days ago. The original is authoritative.