"Headroom open-notebook resources" matching MCP servers:

A FastMCP server for loading, editing, searching, and saving Jupyter notebooks (.ipynb) through MCP tools. It maintains a single active notebook session with live cell indices that update as cells are inserted or removed.

An MCP server that enables AI agents to create, read, edit, and manage Jupyter Notebook files programmatically, overcoming limitations in Cursor's native notebook support.

An MCP server that gives AI models a persistent notebook backed by a folder of Markdown files, with tools to discover, read, write, edit, and delete notes.

Enables AI assistants to read, edit, and execute Jupyter notebook files (.ipynb) with live kernel output, without requiring JupyterLab.

MCP server for structural editing of Jupyter notebook cells (list, read, insert, edit, patch, delete, move) without kernel execution.

A local MCP server that delegates tasks to a subagent runtime via OpenAI-compatible interfaces, enabling file operations, command execution, and rollback of local file changes.

Enables inspection and editing of Jupyter notebook files (.ipynb) through tools for reading, adding, updating, deleting, moving, and converting cells while preserving metadata.

MCP server that enables searching books by author via Open Library API and searching keywords inside local text files.

Local-first MCP server for controlling Google Colab as a development, shell, file, and training runtime, with tools for notebook editing, GPU acceleration, and file transfer.

Enables AI assistants to interact with SiYuan Note for comprehensive notebook management, document editing, and block-level content operations. It supports advanced features like full-text search and SQL queries via secure API integration.

An MCP server implementation that integrates with SiYuan Note system, enabling AI models to access and manipulate note data through comprehensive commands for notebook management, document operations, and content manipulation.

Local-first MCP runtime for fast, reversible, template-aware Excel automation, enabling agents to manipulate live Excel workbooks with safety features like snapshots and rollbacks.

An MCP server for read-only inspection of AutoCAD DWG files, enabling AI agents to open drawings, query objects by handle or filter, and explore properties and references.

A local-first, open-source harness for organizing your files with an AI agent.

Enables cloud agents to securely operate local machine resources (files, commands, screenshots) via standard MCP protocol.

MCP server for the Solid protocol enabling AI models to read, write, search, and manage resources in Solid pods.

A distributed durable notebook MCP server for high-scale agents, providing git-like pull and commit tools with automatic conflict resolution.

Enables running Claude Skills locally on your Mac with sandboxed execution, supporting document processing and integration with MCP-compatible AI tools while ensuring data privacy.

Enables Claude and other LLM clients to read and write Microsoft Project files directly, covering tasks, resources, assignments, dependencies, and critical path information without needing Microsoft Project open.

Connects AI coding assistants like Claude Code, Cursor, and Windsurf to enterprise data sources (databases, files, APIs, etc.) via a single binary, with 45+ connector categories and built-in memory tools.