The official Python SDK for Model Context Protocol servers and clients

Getting Started with Remote MCP Servers using Azure Functions (Python)

A Python library for building AI agents that leverage the full power of Google Antigravity.

Generate production-ready Python and AI stacks by combining frameworks, data engines, tooling, and cloud deployment.

Umbrella package for SciTeX — reproducible science from raw data to manuscript

A Python wrapper for the Chemistry Development Kit (CDK)

PydanticRPC is a Python library for rapidly exposing Pydantic models as gRPC, ConnectRPC, and MCP services without protobuf files.

Python sandboxes for llms

🚀 The fast, Pythonic way to build MCP servers and clients.

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.

Typed pythonic RSS/Atom parser: RSS 2.0/0.9x, Atom 1.0, RSS 1.0 (RDF) and podcasts into pydantic v2 models, plus a CLI

A Python framework for modular, self-contained skill management for machines.

Moondream MCP Server in Python

Google Flights MCP, CLI and Python Library

pure python Unreal Engine MCP server

🐚 Python-powered shell. Full-featured, cross-platform and AI-friendly.

The python library for research and development in NLP, multimodal LLMs, Agents, ML, Knowledge Graphs, and more.

Minimal AI coding agent (~1,000 lines of Python) inspired by Claude Code. Works with any LLM. Think NanoGPT for coding agents. Formerly NanoCoder.

Unified execution environment for Python code, shell commands, and programmatic MCP tool calls.

High-performance AI pipeline engine with a C++ core and 50+ Python-extensible nodes. Build, debug, and scale LLM workflows with 13+ model providers, 8+ vector databases, and agent orchestration, all from your IDE. Includes VS Code extension, TypeScript/Python SDKs, and Docker deployment.

A comprehensive Python client library and MCP server for Microsoft Dynamics 365 Finance & Operations (D365 F&O) that provides easy access to OData endpoints, metadata operations, label management, and AI assistant integration.

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.