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MCP Servers
An MCP Evaluation Library
A cross-platform AI desktop chat cowork app supporting 10+ LLM providers, RAG knowledge base, and MCP tools. Built with Electron + React + Mastra.
A Model Context Protocol (MCP) server for interacting with the Amazon Selling Partner API. This server provides tools and resources for accessing Amazon SP-API functionality through a standardized...
ZhuLing — Zero-config AI Agent framework for Java. One YAML to launch Agents on Spring AI + DDD, with MCP tools, full observability and a ReAct core. Ai Agent 快速开发框架
Run any dockerized MCP Server in a sandboxed container and connect to it remotely
Drop‑in Express middleware and helpers to add secure auth to your Model Context Protocol (MCP) server with Descope. Ship an authenticated /mcp endpoint and register tools in minutes.
This is an MCP server implemented using the RMCP (Rust Model Context Protocol) library for operating Containerd.
Muppet is an open-source toolkit designed to simplify the entire lifecycle of your Model Context Protocol (MCP) servers—from development and testing to deployment.
Official COROS MCP server and Agent skills for integrating sports and health data into AI clients.
A Model Context Protocol (MCP) server that connects to Databricks API, allowing LLMs to run SQL queries, list jobs, and get job status.
is a Model Context Protocol (MCP) server repository specifically designed for the OceanBase ecosystem.
Open-source, self-hosted AI workspace for local and open-weight LLMs with vLLM, LiteLLM, autonomous agents, MCP tools, deep research, artifacts, and BYOK.
Agent Skills
Agent skills extracted from real work. Each one shipped something first.
Personal Codex skills (drop-in folders under ~/.agents/skills/). Catalog: https://jmerta.github.io/codex-skills/
Open the interactive guide to learn more about the Skill
The open agent skills tool - npx skills
A curated list of essential skills, tools, and resources for building and enhancing advanced AI agents.
Keep your skills sharp. Intelligence for agent context.
Chainstack is the leading suite of services connecting developers with Web3 infrastructure
A structured Agent workflow for CUMCM, MCM/ICM, and Diangong Cup — designed to keep a 72–96 hour modeling project coherent from the first decision to the final submission.
会话 · 聊天记录 · 搜索 · 联系人 · 群成员 · 群昵称 · 收藏 · 统计 · 导出
🧠 plan · 🔨 implement · 🔍 review · ✅ QA gate · 🚢 merge Thirty-five agent skills that run a full PR pipeline. Install them into any repo, with any coding agent.
for creating, directing, validating, and delivering image, video, audio, voice, music, 3D, avatar, and interactive media.
Running 5 AI agents in parallel is easy. Making them not break each other's code is the hard part.