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

Nanoservices for notebooks.

chm to markdown and vectorDB

A Model Context Protocol (MCP) server that provides AI assistants with access to Microsoft OneNote. This server enables AI models to read from and write to OneNote notebooks, sections, and pages.

MCP server for NotebookLM - Let your AI agents (Claude Code, Codex) research documentation directly with grounded, citation-backed answers from Gemini. Persistent auth, library management, cross-client sharing. Zero hallucinations, just your knowledge base.

This repo contains example notebooks and MCP samples created while learning the Model Customization Protocol (MCP) through a DeepLearning.AI course in collaboration with Anthropic, the creators of MCP, and the deep learning community who contributed to the course.

MCP server to let claude connect to my obsidian notes for vector and full text search

Few notebooks containing the code for building agentic workflow from ground up

Jupyter notebooks from the DeepLearning.AI course “MCP: Build Rich-Context AI Apps with Anthropic.”

AI Learning: A comprehensive repository for Artificial Intelligence and Machine Learning resources, primarily using Jupyter Notebooks and Python. Explore tutorials, projects, and guides covering foundational to advanced concepts in AI, ML, DL and Gen/Agentic Ai.

Complete Docker environment integrating OpenWebUI, Jupyter Notebook with Manim, and MCP server for AI-powered code execution and mathematical visualizations

AI-powered Model Context Protocol (MCP) server for accessing OpenStax textbooks. Features semantic search, automatic Jupyter notebook generation, and practice problem creation running on Cloudflare Workers.

Data Science platform for code structure analysis, trace event-action chains through graph queries; perform code diagnostics and more! Notebooks, Force-directed graph visuals; follow your agent as it updates your files.