Enables external agents to run, edit, create, and manage the Jupyter notebook the user is actively editing in VS Code, headlessly and without approval dialogs. Works with any MCP client and is Jupyter-optional for document operations.
Enables AI agents to read, edit, execute cells, and capture outputs from Jupyter notebooks directly within VS Code or Cursor via the Model Context Protocol.
Enables AI assistants to interact with VS Code's language server protocol features (definitions, references, diagnostics) and debugger (breakpoints, stepping, variable inspection) via an MCP server.
Enables AI agents to access live VS Code editor state, symbol navigation, diagnostics, and language-aware editing through MCP, bridging the gap between what the agent can infer from disk and what the editor actually knows.
Enables AI agents to interact with Jupyter notebooks via MCP tools for querying, modifying, executing, and setting up notebooks, with state preservation and real-time collaboration.
