AIエージェント
python-sdk
The official Python SDK for Model Context Protocol servers and clients.
★ 24.5k スターMIT
ガイドを見る →typescript-sdkは、modelcontextprotocolが公開しているオープンソースのAIエージェントプロジェクトです（GitHub: modelcontextprotocol/typescript-sdk）。GitHubスターは13,533、フォークは2,262で、NOASSERTIONライセンスの下で公開されています。GitHubでの最終更新は2026年10月8日です。
The official TypeScript SDK for Model Context Protocol servers and clients.
Decide what you want the project to do before installing anything.
Grab the source and skim the README for setup requirements.
Install dependencies and add any API keys or settings it needs.
Launch it and follow the example workflow from the docs.
From the MCP spec team.
Types and ergonomics for JS developers.
Both protocol ends.
Reference-correct behavior.
Versioned docs site with guides.
The baseline other TS tools build on.
Download the source and move into the project folder.
git clone https://github.com/modelcontextprotocol/typescript-sdk.git
cd typescript-sdkPull in the Node packages the project needs.
npm installTreat these as starting points - the README documents the exact commands.
npm run buildIt is an open-source project at modelcontextprotocol/typescript-sdk with 2262 forks. Check the repo's contributors and recent commits to judge how active maintenance is.
GitHub does not assert a license for this repo, so treat the code as all rights reserved until the author adds one.
The SDK is free; the underlying platform's API may be billed separately - check that service's pricing.
The SDK is the reference; community frameworks add ergonomics. Start with the SDK to learn the protocol, then evaluate frameworks for productivity.
Clone the repo, read the README's quickstart, and run the provided example - most projects get you to a first result in minutes.
The official Python SDK for Model Context Protocol servers and clients.
The official collection of reference Model Context Protocol servers.
Official SDKs for tracing with LangSmith.
Vercel’s SDK for durable, reliable, observable apps and AI agents in TypeScript.
Build AI agents in a no-code visual builder or TypeScript SDK, fully synced.
The fast, Pythonic way to build MCP servers and clients.
LibreAIカタログに掲載されたAIエージェントプロジェクトの中で最もスターの多いもの — typescript-sdkが合わなかった場合に検討したい、現実的な候補リストです。
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.
カタログの中でtypescript-sdkとスター数が近いAIエージェントプロジェクト — 前後の棚もそのまま見て回れます。
Production-ready headless browser for AI agents, built in Rust - structure first, pixels only on demand.
One portable, local-first memory layer for every AI agent - Markdown-native, user-owned and self-evolving.
Open-source agentic browser your AI agents drive with your logins, plus an AI browser for humans.
AI-powered reverse engineering assistant that bridges IDA Pro with language models through MCP.
A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.
MCP server letting AI agents run 150+ cybersecurity tools for authorized pentesting and research.