KI-Agenten
typescript-sdk
The official TypeScript SDK for Model Context Protocol servers and clients.
★ 13,5 Tsd. SterneNOASSERTION
Anleitung ansehen →python-sdk ist ein Open-Source-Projekt aus der Kategorie KI-Agenten von modelcontextprotocol (modelcontextprotocol/python-sdk auf GitHub). Es hat 24.508 Sterne auf GitHub und 4.018 Forks, wird unter der Lizenz MIT veröffentlicht und wurde zuletzt am 5. Oktober 2026 auf GitHub aktualisiert.
The official Python SDK for Model Context Protocol servers and clients.
Start with one concrete task rather than a grand architecture.
Clone the repo and check the examples folder for a quickstart.
Install packages, set environment variables, and point it at your model.
Execute the demo workflow, then adapt it to your own data.
From the team behind the MCP spec.
The reference for correct behavior.
Both sides of the protocol.
Async-first Python design.
Permissive and commercial-friendly.
Dedicated docs site with guides.
Download the source and move into the project folder.
git clone https://github.com/modelcontextprotocol/python-sdk.git
cd python-sdkCreate a virtual environment and install the requirements.
python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txtTreat these as starting points - the README documents the exact commands.
python examples/quickstart.pymodelcontextprotocol/python-sdk is its home on GitHub, with 4018 forks so far. The contributors tab and recent commits show how actively it is maintained.
Yes - it is MIT licensed, so you can use, modify, and distribute it freely, including in commercial projects.
The SDK is free; the underlying platform's API may be billed separately - check that service's pricing.
The official SDK is the spec-faithful reference; FastMCP is the productivity layer on similar ideas. Learn the SDK to understand the protocol, use FastMCP to ship faster.
Follow the README quickstart, then browse the examples directory for patterns that match what you want to build.
The official TypeScript SDK for Model Context Protocol servers and clients.
The official collection of reference Model Context Protocol servers.
The official Python SDK for building on Vapi's voice AI platform.
Official SDKs for tracing with LangSmith.
The fast, Pythonic way to build MCP servers and clients.
An open-source SDK for production agents on any model, any cloud.
Die anderen Projekte der Kategorie KI-Agenten mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls python-sdk nicht das Richtige ist.
A personal AI that really does things — on any OS, with your data staying yours.
An agentic skills framework & software development methodology that works.
Agent harness optimization system with skills, memory and security for Claude Code, Codex and more
The agent that grows with you — a Python framework for adaptive AI agents.
DeepSeek's plugin-based agent harness where everything is a plugin.
Verwandte Projekte der Kategorie KI-Agenten im Katalog, die python-sdk bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
Stateful AI agents with memory that learns and improves.
Jev Ultrafast — the fastest browser agent from browser-use: one decision-model request per action cycle drives a real browser, MIT
Autonomous AI agents for penetration testing — self-hosted, multi-agent, with a full web UI
One RAG framework for everything — including multimodal documents.
The SDK for extracting data and interacting with any site on the web.
A framework for building agents and services
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.