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Production-ready MCP servers that extend AI capabilities through file access, database connections, APIs, and contextual services.

70,721 tools. Last updated 2026-02-08 07:49
  • Read Python code files to verify content before appending or executing, ensuring accurate code modifications and execution.
    MIT
  • Execute Python code with flexible execution modes including inline for speed and subprocess for isolation. Use to run Python scripts, test code snippets, or maintain session state across executions.
  • Execute Python code or scripts directly from AI assistants, supporting virtual environments and command-line arguments for automated development tasks.
    Apache 2.0
  • Execute Python code or scripts directly within the Code MCP Server, enabling integration with VS Code via the Model Context Protocol. Supports custom arguments and virtual environments.
    Apache 2.0
  • Execute Python code in a persistent sandbox environment to run computations, analyze data, or build multi-tool workflows while maintaining state across executions.
    GPL 3.0

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