Claude Desktop インストールガイド
ローカル MCP 設定に対応するデスクトップクライアント。
MCP Servers
Netlify MCP Server follows the Model Context Protocol (MCP) to enable code agents to use the Netlify API and CLI—so they can create new projects, build, deploy, and manage your Netlify resources...
CCXT MCP Server is a server that allows AI models to interact with cryptocurrency exchange APIs through the Model Context Protocol (MCP).
A Model Context Protocol (MCP) server for Airtable with full CRUD operations, schema management, record comments, webhooks, batch operations, governance controls, and AI-powered analytics.
A Model Context Protocol (MCP) server for Clojure development that provides built-in tools for interactive coding assistance and structural editing via nREPL integration.
A collection of test servers implementing the Model Context Protocol (MCP).
An aggregated search API service based on Cloudflare Workers
mcp-name: io.github.aikts/yandex-tracker-mcp
This is a community-maintained project and is . Use at your own discretion.
Purple AI MCP Server allows you to access SentinelOne Services with any MCP client.
Model Context Protocol (MCP) server implementation for Autodesk Maya
A Model Context Protocol (MCP) server which provides AI assistants with seamless access to SmartBear's suite of testing and monitoring tools, including BearQ, BugSnag, Reflect, Swagger, PactFlow,...
MCP (Model Context Protocol) server to manage documents and perform searches using Needle through Claude's Desktop Application.
Agent Skills
https://github.com/user-attachments/assets/023c0a9c-194a-45a9-bb88-ac8f16f5ffd5
Screenshot testing is key to validate your app's appearance and functionality. It efficiently detects visual issues and tests the app as users would use it, making it easier to spot problems.
Built by DeepSeek, for DeepSeek. An AI coding agent that flows through your codebase like a tide. The name: DeepSeek + tide (terminal IDE).
山音超级编剧大师 - 全格式影视编剧 Skill 由 @山音 设计的自然语言驱动编剧 Agent Skill 覆盖 1-3 分钟概念超短片→90 分钟电影长片→多集剧集的全流程剧本创作，一站式搞定人物、大纲、场景、剧本全链路
for quasi-experimental designs in Python.