The Jupyter MCP Server is a service that implements the Model Context Protocol (MCP) and supports interaction with Jupyter notebooks.

The Databricks MCP Server is a service based on the MCP protocol that allows LLM tools to interact with the Databricks platform, providing management functions for clusters, jobs, notebooks, etc.

The Databricks MCP Server is a model interaction service based on the MCP protocol, providing access interfaces to functions such as Databricks clusters, jobs, and notebooks, and supporting the integrated interaction between LLM tools and the Databricks platform.

An MCP server that enables interaction with the OneNote web version through browser automation, supporting AI assistants to programmatically operate shared notebooks.

This is a server based on the Model Context Protocol that provides tools for interacting with the Open Notebook API, supporting functions such as managing notebooks, content sources, notes, searches, and AI conversations.

A Model Context Protocol (MCP) server implemented for Microsoft OneNote, providing a standardized interface for AI language models to interact with OneNote and supporting management functions for notebooks, sections, and pages.

The Jupyter Earth MCP Server is a service implementation based on the Model Context Protocol (MCP), providing tool support for geospatial analysis in Jupyter notebooks.

An MCP server for programmatically managing and operating Jupyter notebooks, providing functions such as reading, editing, and executing notebook cells, and supporting integration with Claude Desktop.

A Model Context Protocol (MCP) server implemented for Microsoft OneNote, providing a standardized interface for AI language models to interact with OneNote and supporting management functions for notebooks, sections, and pages.

The Databricks MCP Server is a service that implements the Model Completion Protocol (MCP), providing the ability to access Databricks functions via the MCP protocol, enabling LLM tools to interact with Databricks clusters, jobs, notebooks, etc.

A Kaggle MCP service based on NodeJS for exploring datasets and creating notebooks

The Neemee MCP client library is a TypeScript library for interacting with the Neemee personal knowledge management system through the Model Context Protocol (MCP). It supports two transport modes, HTTP and STDIO, provides tool APIs for creating, updating, searching notes and notebooks, as well as resource APIs for obtaining system information and resource lists, and includes complete TypeScript type support and error handling mechanisms.

An improved OneNote MCP server that supports personal notebooks and optimizes authentication and performance

nb-mcp is an MCP server designed for LLM assistants. It encapsulates the nb command-line tool, processes note operations through JSON parameters, avoids shell escaping issues, and supports explicit specification of notebooks for friendly note management across projects.

Jupyter MCP Server is a server that implements the Model Context Protocol, supporting interaction with notebooks running on local JupyterLab.

This is an MCP server implemented for the Joplin note - taking application, providing functions to access Joplin note data through the command line or API, including operations such as searching, reading notes, and notebooks.

An MCP server for Microsoft OneNote that allows AI agents to read, create, and analyze OneNote notebooks, sections, and pages, including automatically extracting text content from images through Claude Vision.