Safe Local Python Executor

An MCP server (stdio transport) that wraps Hugging Face's[`LocalPythonExecutor`(from the](https://github.com/huggingface/smolagents/blob/main/src/smolagents/local_python_executor.py)[`smolagents`framework). It is a custom Python runtime that provides basic isolation/security when running Python code generated by LLMs locally. It does not require Docker or VM. This package allows to expose the Python executor via MCP (Model Context Protocol) as a tool for LLM apps like Claude Desktop, Cursor or any other MCP compatible client. In case of Claude Desktop this tool is an easy way to add a missing Code Interpreter (available as a plugin in ChatGPT for quite a while already). - Exposes`run_python`tool - Safer execution of Python code compared to direct use of Python`eva()l` - Ran via uv in Python venv - No file I/O ops are allowed - Restricted list of imports - collections - datetime - itertools - math - queue - random - re - stat - statistics - time - unicodedata Be careful with execution of code produced by LLM on your machine, stay away from MCP servers that run Python via command line or using`eval()`. The safest option is using a VM or a docker container, though it requires some effort to set-up, consumes resources/slower. There're 3rd party servcices providing Python runtime, though they require registration, API keys etc. `LocalPythonExecutor`provides a good balance between direct use of local Python environment (which is easier to set-up) AND remote execution in Dokcer container or a VM/3rd party service (which is safe). Hugginng Face team has invested time into creating a quick and safe option to run LLM generated code used by their code agents. This MCP server builds upon it: To add a first layer of security, code execution in smolagents is not performed by the vanilla Python interpreter. We have re-built a more secure LocalPythonExecutor from the ground up. To install Safe Local Python Executor for Claude Desktop automatically via](https://huggingface.co/docs/smolagents/en/index)[Smithery: ``` `npx -y @smithery/cli install @maxim-saplin/mcp_safe_local_python_executor --client claude` ``` - Install`uv`(e.h.`brew install uv`on macOS or use](https://smithery.ai/server/@maxim-saplin/mcp_safe_local_python_executor)[official docs) - Clone the repo, change the directory`cd mcp_safe_local_python_executor` - The server can be started via command line`uv run mcp_server.py`, venv will be created automatically, depedencies (smollagents, mcp) will be installed - Make sure you have Claude for Desktop installed (download from](https://docs.astral.sh/uv/getting-started/installation/#__tabbed_1_2)[claude.ai) Edit your Claude for Desktop configuration file: - macOS:`~/Library/Application Support/Claude/claude_desktop_config.json` - Windows:`%APPDATA%\Claude\claude_desktop_config.json` - Or open Claude Desktop -> Settings -> Developer -> click "Edit Config" button ``` `{ "mcpServers": { "safe-local-python-executor": { "command": "uv", "args": ](https://claude.ai/desktop)[ "--directory", "/path/to/mcp_local_python_executor/", "run", "mcp_server.py" ] } } }` ``` - Restart Claude for Desktop - The Python executor tool will now be available in Claude (you'll see hammer icon in the message input field) Once configured, you can use prompts like: - "Calculate the factorial of 5 using Python" - "Create a list of prime numbers up to 100" - "Solve this equation (use Python): x^2 + 5x + 6 = 0" Clone the repo. Use`uv`to create venv, install dev dependencies, run tests: ``` `uv venv .venv uv sync --group dev python -m pytest tests/` ``` This is a web browser that enables your coding agent, such as Claude Code, to visit websites on your behalf and assist you in identifying bugs or creating UI test cases. A stateful LSP runtime for AI agents: warm language server sessions with 50+ tools for go-to-definition, find-references, diagnostics, rename, and more across 30+ languages. MCP server that gives coding agents program-analysis primitives — data flow, call graphs, taint analysis — so they reason from ground truth instead of grep-and-guess. (same as the GitHub About — keeps your messaging consistent across the web). An MCP service that equips your workspace with a complete set of AI-accessible development tools for reading, editing, executing, and managing code. Visual Studio extension with 20 Roslyn-powered MCP tools for AI assistants. 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