# BusraPrice/mcp-python-interpreter > An MCP server in Python that executes Python code on request from an MCP client such as Claude. It integrates code execution into LLM assistants via the MCP protocol. - Magnitude: 0.0 out of 10 — Quiet - Stars: 0 total · Not enough measurements today - Star trust: star growth looks organic - Category: AI agents · Language: Python · Created: 2026-10-14 · Last push: 2026-10-14 - GitHub: https://github.com/BusraPrice/mcp-python-interpreter · Page: https://gitnova.dev/en/r/BusraPrice/mcp-python-interpreter ## Useful for - Connect the server to Claude so the assistant can run Python code - Execute computations and scripts directly from an MCP client ## Why it’s here - There are not enough fresh counter measurements for today's UTC day. The gain is unknown. ## Star trust Star growth looks organic. Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer. ## Numbers - Forks: 0 - Issues and pull requests: 1 - Watchers: 0 - Average over the last week: 0 per day - Usual pace: 0 per day - Latest release: 1.0.587 (2026-10-14) ## Stars per day, last 20 days (oldest → newest, today is partial) 2026-10-14 … 2026-11-02: 0, 0, 0, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None ## Magnitude by day, last 14 days 10-20 0.0, 10-21 0.0, 10-22 0.0, 10-23 0.0, 10-24 0.0, 10-25 0.0, 10-26 0.0, 10-27 0.0, 10-28 0.0, 10-29 0.0, 10-30 0.0, 10-31 0.0, 11-01 0.0, 11-02 0.0 ## Similar by description 1. **CarloTakahashi55776/mcp-python-interpreter** — 0.0 · Quiet · AI agents · Python · Not enough measurements today An MCP server written in Python that executes Python code via the Model Context Protocol. It is meant to be connected to MCP clients such as Claude so an LLM can run code. Full card: https://gitnova.dev/en/r/CarloTakahashi55776/mcp-python-interpreter.md --- Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score. Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast. Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself. Data as of 2026-11-02 02:24 UTC, updated every 30 minutes.