MCP Python Interpreter
Enables large language models to interact with Python environments via Model Context Protocol, offering code execution, environment and package management, file operations, and Python development workflow automation.
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Enables secure Python code and shell command execution, file management, Git cloning, and web preview generation in ephemeral sandboxed environments via the Model Context Protocol.
1 toolsAdded May 30, 2025
Provides a Model Context Protocol server enabling AI assistants to perform comprehensive Python development tasks including file management, code analysis, formatting, linting, virtual environment and dependency management, and safe code execution within a controlled workspace.
Added May 30, 2025
Enables AI models to interact with Jira via the Model Context Protocol by providing tools for JQL issue search, detailed issue retrieval, and seamless integration using Python with environment-configured Jira credentials.
Added May 29, 2025
Enables AI assistants to seamlessly interact with local Jupyter Notebook files via the Model Context Protocol, facilitating enhanced code analysis and automation within Python environments.
Added May 29, 2025
Enables seamless integration of large language models with APIs and executable Python code via Model Context Protocol, facilitating local setup and execution of custom agents and functions for enhanced data interaction and automation.
Added May 30, 2025