Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers
This repository contains a complete tutorial on how to create an MCP (Modular Computational Platform) client in Python using FastAPI.
MCP-based assistant for busy people who are context switching
The AI Config Plaza. Stop configuring AI tools from scratch. Discover, share, and one-click install verified configurations for MCP servers, Agents, and Prompts.
Unified native desktop UI for Claude Code, Gemini CLI, Hermes, Crush, Codex, and Cursor — multi-agent, MCP-native, written in Rust + GPUI.
Desktop extension (.mcpb) for Claude Desktop. Single-click install via Settings → Extensions.
MCP server provides Feishu related operations to AI encoding agents such as cursor 飞书MCP插件，读取文档、发送消息、合同审批、数据处理.....
Shared MCP server for the Upvote.club Public API.
a lib to build MCP clients and MCP servers in Clojure(script)
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No Microsoft Graph API, no Entra app registration, no OAuth tokens — just your local Outlook and the authentication you already have.
Local-first MCP policy proxy. Tool-block, SQL-mutation gate, PII redact, audit, rate-limit, OpenTelemetry, vault secrets, first-use quarantine, schema pre-inject. No hosted gateway.
Universal AI Tool Orchestrator - Sync skills, MCPs, and memory across Claude Code, Codex, Gemini CLI, OpenCode, OpenClaw...
Agent Skills
The easiest way to evaluate your Agent Skills. Tests that AI agents correctly discover and use your skills.
The central challenge in AI development isn't a lack of ideas, but the inconsistent process of turning them into robust, reliable skills.
Generate and evaluate agent skills based on traces with agents. Create skills with teacher models (expensive/slow) that student models (cheap/fast) can use to perform harder tasks reliably.
这里不是一叠孤立的提示词。每个 Skill 都用 SKILL.md 固化触发条件、工作阶段、确认门槛和交付物，让 Codex、Claude Code 等 Agent 在产品、开发、研究、写作和日常效率任务中按同一套方法工作。
Give an AI agent a link to an OpenAPI spec, GraphQL schema, or MCP server and get back a ready-to-use Agent Skill with wrapper scripts, references, and usage notes.
Local FFmpeg · No cloud · No API keys · Python standard library Claude Code · Cursor · Codex · MCP
Write a SKILL.md, drop in some evals, and find out — empirically — whether your skill actually makes the model better at the task.
An is a plugin that teaches AI coding agents best practices for a specific technology, delivered as a portable Markdown knowledge pack.
即梦 是字节跳动的多模态 AI 视频生成模型，支持图片 / 视频 / 音频混合输入，可生成 4–15 秒的高质量视频。
A collection of Claude Code skills for academic research workflows.
On February 28th, 2026, DeerFlow claimed the 🏆 #1 spot on GitHub Trending following the launch of version 2. Thanks a million to our incredible community — you made this happen! 💪🔥
One command. 25 agent skills. Zero to profitable business.