Claude Desktop 安装指南
支持本地 MCP 配置的桌面客户端。
MCP Servers
Get your projects MCP (Model Context Protocol) badges
Complete observability platform for AI agents and MCP servers. Improve your AI deployment outcomes, identify inference inefficiencies, and gain insights into real agent usage patterns.
Command-line interface for any Model Context Protocol (MCP) server.
An Envoy-based gateway for Model Context Protocol (MCP) servers, enabling aggregation and routing of multiple MCP servers behind a single endpoint.
This tool generates from OpenAPI specifications, creating Python packages that can be used by AI assistants to interact with APIs.
An open framework for scoring how well an MCP tool definition communicates to an AI agent – the Tool Definition Quality Score (TDQS).
A production-ready for seamless integration between Velociraptor DFIR and Large Language Models (LLMs).
Open Source Observability Platform for MCP Servers & Apps
Full documentation is available at buildkite.com/docs/apis/mcp-server.
This is a MCP designed to manage and interact with mobile devices and simulators. It provides utilities for tasks such as app installation, device management, and log retrieval for iOS and Android...
A lightweight, configurable reverse proxy for routing and load balancing MCP (Model Context Protocol) requests to appropriate backend services based on request content.
The Model Context Protocol enables AI models to interact with external systems through tools, resources, and prompts.
Agent Skills
A practical Claude Code guide with clear mental models and copy-paste examples — setup, prompt engineering, slash commands, skills, hooks, subagents, agent teams, and MCP servers.
120 marketing skills as an AI marketing staff — plugin, portable skills, or an 8-bot team across 7 disciplines (narrative, SEO/GEO, social, email, paid, influencer, launch) on one contract, with 8...
Cursor plugin specification and official plugins
Provider-neutral Agent Skill for Codex, Claude Code, and agentic harness design.
-- Only 1.6% of Claude Code's codebase is AI decision logic. The other 98.4% is deterministic infrastructure -- permission gates, context management, tool routing, and recovery logic.
Open-Source Multi-Agent AI Assistant — Not Just Chat, an AI Team That Gets Things Done
Nothing is more valuable than time and money. In a world of AI agents, that's speed and token spend. A well-designed CLI is muscle memory for an agent: no hunting through docs, no wrong turns, no...
Build tested agent skills and govern their lifecycle through a user-defined marketplace: evidence, discovery, updates, rollback, quarantine, and 17-platform distribution.
10 design principles for building agent-ergonomic apps.
审查 PR 中的 bug、风险改动、缺失测试和发布说明。
Planby is a React based component for a quick implementation of Epg, schedules, live streaming, music events, timelines and many more ideas.
一款包含了 Prompt管理，Skill管理，Agent管理的一站式AI工具箱，助你高效管理提示词，一键分发skills ，一站式管理Agent资产，并实现云同步，备份，版本管理 | An all-in-one AI toolbox for prompt, agent, and skills management.