#notebook

The open retrieval layer for AI coding agents. Indexes code, docs, legal, research, data — 15 parsers, FTS5 + semantic search, knowledge graph. Serves surgical context via MCP. Open source, local, free. Index everything in your project — code, docs, PDFs, legal texts, research, data — and your agent finds the right context instantly. No hallucinations. No cloud. No API costs.

Google NotebookLM over MCP + a local HTTP REST API. Citation-backed Q&A, audio/video/content generation, multi-account rotation. For Claude Code, Codex, Cursor, n8n, Zapier, Make.

An MCP service specifically developed for AI to connect and manage Jupyter Notebooks

Jupyter MCP (Model Context Protocol) Server - Connect Jupyter notebooks with MCP-enabled applications

Kotlin/Compose Multiplatform project to show climate related emission data from

A lightweight python notebook mcp server that allows AI agents and other MCP clients to interact with python notebook files seamlessly.

This is a Model Context Protocol (MCP) server designed to allow AI agents within Cursor to interact with Jupyter Notebook (.ipynb) files. It uses the nbformat library to safely manipulate notebook structures and enforces security by restricting operations to user-defined directories. It also uses nbconvert to enable exporting notebooks to various formats like Python scripts, HTML, and more. The server handles all notebook operations through a clean API that maintains notebook integrity and prevents malformed changes.

Model Context Protocol (MCP) server designed to allow AI agents within Cursor to interact with Jupyter Notebook (.ipynb) files

chm to markdown

Learning AI

MCP server for Jupyter Notebooks and JupyterLab