🚀 The fast, Pythonic way to build MCP servers and clients.
The official Python SDK for Model Context Protocol servers and clients
Open source MCP Servers for AWS
Programmatic access to Gemini Notebook - via command-line interface (CLI), Model Context Protocol (MCP) server, and AI agent skills.
Code, Build and Evaluate agents - excellent Model and Skills/MCP/ACP/A2A Support
The python library for research and development in NLP, multimodal LLMs, Agents, ML, Knowledge Graphs, and more.
Connect ClickHouse to your AI assistants.
Harness the power of local LLMs with this TUI MCP Client for Ollama. Featuring all core MCP primitives (tools, prompts, resources), agent mode, multi-server, model switching, streaming responses, human-in-the-loop, thinking mode, model params config, system prompts, and saved preferences.
One zero-dependency CLI for every MCP server and agent skill. Token optimization, tool discovery and context compression: 71,929 -> 581 tokens (-99.2%, measured), schemas stay out of context. One config for Claude Code, Codex, Cursor, every agent. 341KB, pure Python. | 零依赖 CLI:管所有 MCP 工具与技能,工具发现省 99.2% token。
把写代码时的 AI 搭子换上麦当劳制服,养在桌面角落:11:30 喊你干饭、汇报最划算的券、用营养数据把关;跑长任务时同步项目进度与 token 余额。
🍟 麦麦省钱助手 —— 基于麦当劳中国官方 MCP 的省钱点餐 Agent Skill:官方 calculate-price 实时核价 + 券组合优化(预算/热量约束)+ 沉默成本体检 + 官方券/团购券/积分四渠道同口径算终局。社区开源,免登录在线试算 👇
用 git 命令点麦当劳:add 放购物车,rebase 凑最省,push 确认后才下单;card 生成 1024 吃麦贡献图(3D 汉堡天际线 / 年度小票)。基于麦当劳 MCP Server,附 --demo 无 Token 试玩和 Agent Skill。非官方参赛作品。
Give the agent "this" and he gets a real PC.
MCP server for Lighter — a Model Context Protocol server that lets Claude, Cursor and Cline query Lighter (lighter.xyz) volume, points, rank and airdrop eligibility in natural language. Read-only — public endpoints only, no keys. Unofficial community project, not affiliated with Lighter.
把菜单价换成官方当次核价:一句话说清预算和口味,给你一个答案 + 可复制的点单卡,并算清比另一种点法省多少钱(示例:单品直选 ¥48.50 vs 三件套 ¥36.50,省 ¥12.00/24.7%)。只读 MCP、零依赖 Python、免 Token 网页体验。