Allows LLMs to execute Python code in a specified Conda environment, enabling access to necessary libraries and dependencies for efficient code execution.
MCP server enabling AI assistants to inspect and manage Python environments via uv, including package management, virtual environments, Python versions, tools, and security auditing.
Exposes a set of CLI tools (test generation, documentation generation, linting, test running, code search) to AI assistants via MCP, allowing them to perform these tasks through natural language.
Exposes VS Code terminals as MCP tools, allowing AI agents to create, execute commands, read output, list, and kill terminals across multiple workspaces.