Claude Desktop Руководство установки
Десктопный клиент с поддержкой локальной конфигурации MCP.
MCP Servers

DART API를 활용한 재무 분석 MCP(Model-assisted Capability Package)입니다. Claude를 이용하여 상장 기업의 재무 데이터를 쉽게 분석하고 시각화할 수 있습니다.

An MCP server that exposes the Revit API docs and sample code to LLMs.

MCP Client as Agent Strategy Plugin with Computer Using Agent (UI-TARS-SDK) support. Dify is not MCP Server but MCP Host.

The easiest path to getting an MCP server going

A Claude Code plugin that turns Remotion from a motion graphics tool into a .

swagger-mcp is a tool that reads a Swagger 2.0 or OpenAPI 3.0 specification and dynamically generates MCP tools at runtime — one tool per API endpoint.

An MCP Server for Linkedin API

An MCP server that slurps data from Google News and Google Trends RSS endpoints, optionally distills it with LLM/NLP, and barfs out structured results.

OrigeneMCP is a core component of the OriGene ecosystem, a self-evolving multi-agent system designed to act as a virtual disease biologist.

MCP proxy server that filters tools from upstream MCP servers via regex-based deny list

MCP server and CLI toolkit for web search and crawling, built on Crawl4AI and SearXNG.

An MCP server that provides access to Facebook Marketplace via direct GraphQL API calls. No browser automation at runtime — speaks Facebook's internal protocol directly.
Agent Skills

是一个 AI Agent 技能库,收录了一系列可被 Agent 直接调用的结构化技能。每个技能都是独立的、可组合的工作流单元,覆盖信息获取、内容处理、图像工具等场景。

面向 Web 逆向分析与接口签名还原场景的 Skill,围绕 camoufox-reverse MCP 构建单一工作流:先用 Camoufox 反检测浏览器完成网络捕获、源码定位、Hook 调试与反检测验证,再按需落地到 Node.js 或 Python 算法还原与自动化调用。

Claude Code를 위한 커스텀 스킬 모음입니다. 개발 생산성을 높이기 위한 다양한 자동화 스킬들을 제공합니다.

A personal AI assistant that evolves with you. 8 different types of memory (episodic, semantic, procedural, emotional, prospective, behavioral, narrative, shared) make it truly yours.

A lean .claude/ setup for daily development. Seven specialist agents, twelve workflow skills, six modular rules, and eight safety/productivity hooks.

Ported from the TypeScript reference implementation and extended with a Python-native runtime

A self-evolving AI research colleague for scientists.

CAR is a meta-harness for coding agents (Codex, Hermes, OpenCode, OMP, anything ACP). It is not a coding agent itself. You bring the plan and the agents; CAR coordinates the long-running execution.

本项目把传统术数相关的 AI skill 拆成可审计、可复用、可逐步扩展的工程模块。目标不是把模型包装成“更会玄学”,而是尽量减少它在排盘、流派口径、步骤顺序和解释链路上的幻觉。

the interactive repo-local install paths (./install.sh and clawhip install from a clone) can offer to star this repo after a successful install when gh is installed and authenticated.

1. 对话 skill 模式:在聊天中按 SKILL.md 约束执行单轮改写;安装本仓库作为 skill 后即可直接使用。 2. 脚本 API 模式:通过 scripts/run_aigc_round.py 执行单轮分段处理,并按需调用外部 OpenAI 兼容接口。 3. Web 模式:启动本地后端和前端页面,在浏览器中完成上传、配置、执行和导出。 4. app:安装app可直接使用

Wakaru unpacks webpack, esbuild, and other production bundles, then reverses minifier and transpiler output into readable modern JavaScript.