<h1>Python Notebook MCP</h1> MCP server enabling AI assistants to interact with Jupyter notebooks through the Model Context Protocol.
Python Notebook MCP MCP server enabling AI assistants to interact with Jupyter notebooks through the Model Context Protocol.
Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| initialize_workspace | **REQUIRED FIRST STEP.** Sets the absolute path for the workspace. |
| list_notebooks | Lists all .ipynb files found within the workspace directory. |
| create_notebook | Creates a new, empty Jupyter notebook if it doesn't exist. |
| read_notebook | Reads the entire structure and content of a notebook. |
| read_cell | Reads the content and metadata of a specific cell by index. |
| edit_cell | Modifies the source content of an existing cell by index. |
| add_cell | Adds a new code or markdown cell at a specific index or the end. |
| read_notebook_outputs | Reads all outputs from all code cells in a notebook. |
| read_cell_output | Reads the output(s) of a specific code cell by index. |
Read, search and edit files inside allowed directories with the Model Context Protocol reference Filesystem server.
Retrieve version-aware library documentation and code examples with Context7 MCP, using resolve-library-id and query-docs.
Use Microsoft’s Playwright MCP server to navigate pages, inspect accessibility snapshots, fill forms and capture browser screenshots.
Connect GitHub MCP to repositories, issues and pull requests with GitHub’s hosted service or a locally run server.
Use the Supabase MCP server to inspect database schemas, query project data and retrieve docs through a project-scoped connection.
Search Linear issues and projects, inspect work context and manage updates through Linear’s hosted MCP server with OAuth.