Windsurf AI Agent Skills

Universal code-indexer MCP server for AI coding agents. Claude · Cursor · Codex CLI · Gemini CLI · GitHub Copilot · Windsurf · Kilo Code · Zed · OpenCode · Any agent that speaks MCP. Pre-index your codebase once. Let AI agents find any symbol in ~200 tokens instead of reading whole files at ~7,500 tokens. That is a 97% reduction — per lookup, every lookup. The part no other code indexer does: Don'

An OpenStreetMap MCP server implementation that enhances LLM capabilities with location-based services and geospatial data. - osm-mcp-server: The main server, available for public use. This server provides LLMs with tools to interact with OpenStreetMap data, enabling location-based applications to: - Geocode addresses and place names to coordinates - Reverse geocode coordinates to addresses - Find

A Model Context Protocol (MCP) server providing complete coverage of the DaVinci Resolve Scripting API. Connect AI assistants (Claude, Cursor, Windsurf) to DaVinci Resolve and control every aspect of your post-production workflow through natural language. - 26-tool compound server — all 324 API methods grouped into 26 context-efficient tools (default) - Universal installer — single python install.

   Give AI assistants (Claude, Cursor, VS Code, etc.) the ability to control your desktop and automate tasks across any application. Claude Code (one-liner): Other clients (Cursor, VS Code, Windsurf, etc.): Add to your MCP config file: See the MCP Agent README for detailed setup instructions. - Uses your browser session - no need to relogin, keeps all your cookies and auth - Doesn't take

ScrapeBadger MCP Server Give your AI agents access to Twitter/X data via the Model Context Protocol ScrapeBadger MCP Server is a Model Context Protocol (MCP) server that enables AI assistants like Claude, ChatGPT, Cursor, Windsurf, and other MCP-compatible clients to access Twitter/X data through the ScrapeBadger API. With this MCP server, your AI can: - Get Twitter user profiles, followers, and f

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

GitHub Repo MCP is an open-source MCP server that lets your AI assistants browse GitHub repositories, explore directories, and view file contents. Getting started • Feature overview - 💻 Compatible with Cursor, Windsurf, Claude Desktop, and other MCP clients supporting stdio protocol - 🔎 Browse the contents of any public GitHub repository - 📂 Navigate through repository directories and subdirect

An MCP server that exposes PraisonAI AI agents and tools for use with Claude Desktop, Cursor, VS Code, Windsurf, and other MCP clients. - 🤖 AI Agents as Tools - Run PraisonAI agents directly from MCP - 🔄 Workflow Orchestration - Multi-step agent workflows - 🛠️ 64 Built-in Tools - Complete coverage of all PraisonAI features - ⚡ Easy Setup - Works with uvx or pip install The core tools for runnin

This is a Model Context Protocol (MCP) server that provides comprehensive SQLite database interaction capabilities. - Complete CRUD operations (Create, Read, Update, Delete) - Database exploration and introspection - Execute custom SQL queries Define the command in your IDE's MCP Server settings: e.g. Cursor: e.g. VSCode: Your database path must be provided as an argument. Get detailed information

The local Dynatrace MCP server allows AI Assistants to interact with the Dynatrace observability platform, bringing real-time observability data directly into your development workflow. If you need help, please contact us via GitHub Issues if you have feature requests, questions, or need help. You can add this MCP server to your MCP Client like VSCode, Claude, Cursor, Amazon Q, Windsurf, ChatGPT,

An MCP server for the Rootly API that integrates seamlessly with MCP-compatible editors like Cursor, Windsurf, and Claude. Resolve production incidents in under a minute without leaving your IDE. - Python 3.12 or higher - uv package manager - Rootly API token with appropriate permissions (see below) The MCP server requires a Rootly API token. Choose the appropriate token type based on your needs:

If you use AI agents, such as [Claude Code], [Cursor], or [Windsurf], for code refactoring, you may enjoy using this [MCP] server. Your AI agent, when you ask it to "make code better," may wonder what exactly needs to be improved. Sadly, it may often overlook important problems. AI agents, by design, pay more attention to cosmetic issues, which are "low-hanging fruits" for them. This [MCP] server

Trade stocks directly from your AI assistant Create bots, manage portfolios, and execute trades with natural language Documentation • Get API Key A Model Context Protocol (MCP) server that connects AI assistants like Claude Desktop, Cursor, and Windsurf to VibeTrader's trading platform. - Create Bots: Create AI-powered trading bots using natural language - Manage Bots: Start, pause, delete, and mo

Self Maintaining Docs for Devs & AI — Turn your codebase into always-current documentation, so engineers and AI never read outdated docs again. This repository is the entry point for using Sequa via the Model Context Protocol (MCP). Add Sequa as an MCP server to Cursor, Claude, Windsurf, VSCode, Cline, Highlight, Augment, or any other MCP‑capable client. 70% of docs are never updated as underlying

A Model Context Protocol (MCP) tool server for OpenAI's GPT-4o/gpt-image-1 image generation and editing APIs. - Generate images from text prompts using OpenAI's latest models. - Edit images (inpainting, outpainting, compositing) with advanced prompt control. - Supports: Claude Desktop, Cursor, VSCode, Windsurf, and any MCP-compatible client. - create-image: Generate images from a prompt, with adva

Give any AI the ability to build, validate, and deploy production multi-agent systems. This is an MCP server that connects AI assistants — ChatGPT, Claude, Gemini, Copilot, Cursor, Windsurf, and any MCP-compatible environment — directly to the ADAS platform. An AI developer says "Build me a customer support system with order tracking and escalation" — and their AI assistant handles the entire life

A lightweight Model Context Protocol (MCP) server that enables AI agents (Claude, Cursor, Windsurf) to generate static Pix QR codes via natural-language prompts. - 🔧 MCP Tool: - generateStaticPix - Generate static Pix QR codes for any Pix key (no API required) - 🚀 Production-ready: Comprehensive error handling and logging - 🔒 Type-safe: Full TypeScript implementation with Zod validation - 📱 QR

Welcome to the official Scrapeless Model Context Protocol (MCP) Server — a powerful integration layer that empowers LLMs, AI Agents, and AI applications to interact with the web in real time. Built on the open MCP standard, Scrapeless MCP Server seamlessly connects models like ChatGPT, Claude, and tools like Cursor and Windsurf to a wide range of external capabilities, including: - Google services

iptables for MCP. Blocks dangerous tool calls, scans for secret leakage, logs everything. No AI, no cloud, pure rules. Sits between your AI coding tool (Claude Code, Cursor, Windsurf) and MCP servers, intercepting every JSON-RPC message and enforcing YAML-defined policies. MCP servers have full access to your filesystem, shell, databases, and APIs. When an AI agent calls tools/call, the server exe

A JetBrains IDE plugin that exposes an MCP (Model Context Protocol) server, enabling AI coding assistants like Claude, Codex, Cursor, and Windsurf to leverage the IDE's powerful indexing and refactoring capabilities. Fully tested: IntelliJ IDEA, PyCharm, WebStorm, GoLand, RustRover, Android Studio, PhpStorm May work (untested): RubyMine, CLion, DataGrip IDE Index MCP Server provides AI coding assi

A Model Context Protocol (MCP) server that refines your prompts using PromptArchitect's AI-powered prompt engineering. Simply pass your current prompt and get an improved version back. Works with: Claude Desktop • VS Code (Copilot) • Cursor • Windsurf • Zed • JetBrains IDEs • Continue.dev • Cline Unlike generic prompt tools, PromptArchitect understands your project context. When refining prompts,

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

This repository is an example of how to create a MCP server for Qdrant, a vector search engine. An official Model Context Protocol server for keeping and retrieving memories in the Qdrant vector search engine. It acts as a semantic memory layer on top of the Qdrant database. 1. qdrant-store - Store some information in the Qdrant database - information (string): Information to store - metadata (JSO

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