A Python library for building AI agents that leverage the full power of Google Antigravity.
Umbrella package for SciTeX — reproducible science from raw data to manuscript
A Python wrapper for the Chemistry Development Kit (CDK)

Unofficial Python API and agentic skill for Google Gemini Notebook. Full programmatic access to NotebookLM's features—including capabilities the web UI doesn't expose—via Python, CLI, and AI agents like Claude Code, Codex, and OpenClaw.
Moondream MCP Server in Python

Google Flights MCP, CLI and Python Library
The python library for research and development in NLP, multimodal LLMs, Agents, ML, Knowledge Graphs, and more.
Unified execution environment for Python code, shell commands, and programmatic MCP tool calls.
Vast.ai python and cli api client
Build a Claude-Code-shaped agent harness from scratch. 7-week course, 20 chapters, ~5,000 lines of Python, 42 tests, 3 LLM providers, no frameworks.
A modular Python framework implementing the Model Context Protocol (MCP). It features a standardized client-server architecture over StdIO, integrating LLMs with external tools, real-time weather data fetching, and an advanced RAG (Retrieval-Augmented Generation) system.
Free, maintained Python library + CLI for Google Trends: trending now, plus keyword interest over time, related queries & interest by region. A modern pytrends alternative.
Build autonomous AI agents in Python.
Open-source, self-hosted Claude Code - a terminal AI assistant and the Python framework behind it. Tool-calling, sandboxed execution, multi-agent teams, skills, checkpoints, unlimited context - on Pydantic AI, any model.
Lightweight Model Context Protocol (MCP) server for the Zotero API, in Python
Example implementation of MCP Streamable HTTP client/server in Python and TypeScript.
An MCP server that executes Python code in isolated rootless containers with optional MCP server proxying. Implementation of Anthropic's and Cloudflare's ideas for reducing MCP tool definitions context bloat.
🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl!

Adaptive Python web scraping toolkit + MCP server for AI agents. Self-healing selectors that survive site changes, TLS-fingerprint stealth to bypass anti-bot filters, CSS/XPath parsing, and 24 built-in scrapers, clean, structured, LLM-ready data from any URL.
Servidor MCP fiscal brasileiro: CNPJ, NF-e, NFS-e, CT-e, SPED, eSocial, Simples Nacional, Reforma 2026. 44 tools, zero-cadastro, tabelas offline. Python.
Offline context handoff between coding agents. Read local histories into fresh sessions; source stores stay unchanged. Stdlib-only Python, not live session restore.
A server that helps people access and query data in databases using the Legion Query Runner with Model Context Protocol (MCP) in Python.
A chatbot implementation compatible with MCP (terminal / streamlit supported)
Python toolkit, MCP server, and agent skills for reproducible, auditable clickstream and event log analytics. Helps AI agents, data scientists and analysts build, validate, and cross-check product analytics, quantitative UX, customer journeys, graph-based user flows, behavioral segmentation, A/B tests, process mining models, Markov chain simulation