mcp-run-isolated-python

by Kigstn · ai-ml · mcp-server, glama

Enables LLMs to execute Python code securely in a sandboxed environment. Supports configurable restrictions like no network access and returns results including files.

Source: https://github.com/Kigstn/mcp-run-isolated-python

Install

git clone https://github.com/Kigstn/mcp-run-isolated-python

Tags: mcp-server, glama

Source: glama

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Frequently asked questions

How do I install mcp-run-isolated-python?

Add the install command above to your Claude Code, Cursor, or Windsurf MCP configuration. Most servers register via npx, a local command, or a Docker image. Refer to the source repository for environment variables and credential requirements.

Which clients support mcp-run-isolated-python?

Any MCP-compatible client works: Claude Desktop, Claude Code CLI, Cursor, Windsurf, Zed, and VS Code with the official MCP extension. OpenAI Codex and GitHub Copilot increasingly support MCP via adapter bridges.

Is mcp-run-isolated-python free?

The server itself is typically open source. Any upstream service (API keys, paid tiers, hosted infrastructure) may have its own pricing. Check the source repository for details.