Cursor AI Agent Skills

A comprehensive Model Context Protocol (MCP) server that provides Claude Desktop and other MCP clients with tools for Kafka Schema Registry operations. Features advanced schema context support, multi-registry management, and comprehensive schema export capabilities. Latest Version: v2.1.5 | Docker: aywengo/kafka-schema-reg-mcp:stable - 🚀 Quick Start - ✨ Key Features - 🛠️ Claude Code Skills - 📦

An MCP (Model Context Protocol) server that brings authoritative US legal information into AI coding environments like Cursor and Claude Desktop. - 🆓 No API Keys Required – Works out of the box (optional keys for enhanced access) - 📜 Comprehensive Sources – Congress, Federal Register, CourtListener - ⚡ Easy Setup – One-click install in Cursor or simple manual setup - 🔍 Multi-Source Search – Sea

MCP (Model Context Protocol) server that brings deterministic tech stack recommendations to LLM clients like Claude, Cursor, Windsurf, and other MCP-compatible tools. Try it free — 8 tools work without an account, including a daily demo recommendation and MCP project kit. Add to ~/Library/Application Support/Claude/claudedesktopconfig.json (macOS) or %APPDATA%\Claude\claudedesktopconfig.json (Wind

Track and visualize ML training experiments with Trackio. Use when logging metrics during training (Python API) or retrieving/analyzing logged metrics (CLI). Supports real-time dashboard visualization, HF Space syncing, and JSON output for automation.

Transcribe MCP Automate your transcriptions with AI. Transcribe MCP instantly connects your account to assistants like Claude, Windsurf, Cursor, and more so they can automate tasks on your behalf. The Local Server can add local files for transcription and return result to your Assistant in seconds. - ⚡ Fast, lightweight and LLM-friendly. No special ASR models needed, no setup and fighting python p

IANA-Registered Format for AI Context · application/vnd.faf+yaml Universal version of claude-faf-mcp — Anthropic-approved MCP server, now compatible with all platforms. AI assistants forget. They misunderstand. They drift. Every new session, every new file, every new developer — AI starts guessing again. Your codebase context leaks away. Yesterday's perfect assistant becomes today's confused inter

A Model Context Protocol (MCP) server that loads and serves multiple OpenAPI specifications to enable LLM-powered IDE integrations. This server acts as a bridge between your OpenAPI specifications and LLM-powered development tools like Cursor and other code editors. - Loads multiple OpenAPI specifications from a directory - Exposes API operations and schemas through MCP protocol - Enables LLMs to

A/B testing and content experimentation methodology for data-driven content optimization. Use when implementing experiments, analyzing results, or building experimentation infrastructure.

graphql → ai gqai is a lightweight proxy that exposes GraphQL operations as Model Context Protocol (MCP) tools for AI like Claude, Cursor, and ChatGPT. Define tools using regular GraphQL queries/mutations against your GraphQL backend, and gqai automatically generates an MCP server for you. 🔌 Powered by your GraphQL backend ⚙️ Driven by .graphqlrc.yml + plain .graphql files - 🧰 Define tools using

A local Model Context Protocol (MCP) server that provides structured, high-signal insight into a Git repository, enabling AI coding agents to understand project state, structure, activity, and risk — without uploading or modifying the codebase. AI coding agents (Claude Code, Cursor, Codex, Gemini, etc.) are powerful, but they lack situational awareness when working with non-trivial codebases. They

The Model Context Protocol (MCP) standardizes how Large Language Models (LLMs) talk to external services like Supabase. It connects AI assistants directly with your Supabase project and allows them to perform tasks like managing tables, fetching config, and querying data. See the full list of tools. Before setting up the MCP server, we recommend you read our security best practices to understand t

English Documentation 这是一个支持远程连接的模型上下文协议 (MCP) 服务器，内置了飞书 OAuth 认证。 本项目修改自 cloudflare/ai/demos/remote-mcp-github-oauth，将 GitHub OAuth 替换为飞书 OAuth。 您可以将其部署到自己的 Cloudflare 账户，并在创建自己的飞书 OAuth 客户端应用后，拥有一个功能完整的远程 MCP 服务器。用户可以通过飞书账号登录连接到您的 MCP 服务器。 - 与飞书官方 MCP Server 的区别 - 使用 Inspector 测试 - 使用 Cursor - 使用 ChatWise 虽然飞书官方也推出了 MCP Server，但本项目在以下几个方面具有显著优势： - 本项目：用户无需手动配置任何参数，全程使用 useraccesstoken，过期自动刷新 - 官

Transform how you access and interact with your team's knowledge by connecting Claude, Cursor AI, and other AI assistants directly to your Confluence spaces, pages, and documentation. Get instant answers from your knowledge base, search across all your spaces, and streamline your documentation workflow. - Ask AI about your documentation: "What's our API authentication process?" - Search across all

Your AI keeps breaking things you told it not to touch. SpecLock makes it stop. Website · npm · Smithery · GitHub Developed by Sandeep Roy · Free & Open Source (MIT License) 100/100 on Claude's independent test suite. 929 tests across 18 suites. 0 false positives. 15.7ms per check. Gemini Flash hybrid, Spec Compiler, Code Graph, Typed Constraints, Python SDK, ROS2 integration. That's it. One c

� Migrate to MCP Platform • 💬 Discord Community • � Legacy Docs Zero-configuration deployment of production-ready MCP servers with Docker containers, comprehensive CLI tools, and intelligent caching. Focus on AI integration, not infrastructure setup. That's it! Your MCP server is running at http://localhost:8080 Perfect for: AI developers, data scientists, DevOps teams building with MCP. Deploy M

A Model Control Protocol (MCP) server that bridges AI coding assistants with JetBrains TeamCity CI/CD server, exposing TeamCity operations as MCP tools. The TeamCity MCP Server allows developers using AI-powered coding assistants (Claude Code, Cursor, Windsurf) to interact with TeamCity directly from their development environment via MCP tools. - Dev Mode (default): Safe CI/CD operations (31 tools

A Model Context Protocol (MCP) server that provides gene set enrichment analysis using the Enrichr API. This server supports all available gene set libraries from Enrichr and returns only statistically significant results (corrected-$p$ File -> Settings and drag and drop the downloaded file into the Settings window. Use the button below to install the MCP server to Cursor, VS Code, or VS Code Insi

Use when building or debugging WordPress Interactivity API features (data-wp-* directives, @wordpress/interactivity store/state/actions, block viewScriptModule integration, wp_interactivity_*()) including performance, hydration, and directive behavior.

MCP Unity is an implementation of the Model Context Protocol for Unity Editor, allowing AI assistants to interact with your Unity projects. This package provides a bridge between Unity and a Node.js server that implements the MCP protocol, enabling AI agents like Cursor, Windsurf, Claude Code, Codex CLI, GitHub Copilot, and Google Antigravity to execute operations within the Unity Editor. MCP Unit

MCP (Model Context Protocol) server for domain and URL security analysis powered by GridinSoft Inspector. This MCP server allows your AI agent (Claude, Cursor, etc.) to verify any website or link. It helps answer the critical question: "Can I trust this site?" - Domain Reputation - Check if a site is well-known, safe, or suspicious. - Phishing Detection - Identify fraudulent pages designed to stea

MCP server connecting Claude/Cursor to Codex CLI. Enables code analysis via @ file references, multi-turn conversations, sandboxed edits, and structured change mode. - File Analysis — Reference files with @src/, @package.json syntax - Multi-Turn Sessions — Conversation continuity with workspace isolation - Native Resume — Uses codex resume for context preservation (CLI v0.36.0+) - Local OSS Models

Cursor's coding-agent runtime built into the Cursor IDE. Reads .cursorrules, MCP servers, and Cursor commands. Available as CLI (cursor-agent) and inside the editor.

mem0-mcp-server wraps the official Mem0 Memory API as a Model Context Protocol (MCP) server so any MCP-compatible client (Claude Desktop, Cursor, custom agents) can add, search, update, and delete long-term memories. The server exposes the following tools to your LLM: All responses are JSON strings returned directly from the Mem0 API. There are three ways to use the Mem0 MCP Server: 1. Python Pack

✨ KDB - The Kindly Debugger ✨ Give your AI the superpower of traveling back in time to find what went wrong and fix the timeline. 🌐 Website • 🎉 Start Free • Follow the prompts to sign in with Google and auto-configure your MCP client. Add to your MCP client config (Claude Code, Cursor, etc.): That's it! 🎊 Ask your AI: "Debug my crashing program" Time-travel debugging for AI workflows. Step forw