Cursor AI Agent Skills

Give Claude, Cursor, or any MCP-compatible client instant access to Pylon's full API gateway. Pay per request via x402 micropayments (USDC on Base). No signup. No subscriptions. Add to your MCP config (claudedesktopconfig.json): The server communicates via stdio using the MCP protocol. Capabilities are auto-discovered from the Pylon gateway at startup. 1. Your AI agent calls a Pylon tool (e.g. web

Find emails needing follow-up -- unanswered sent emails, flagged unreplied, draft contextual responses

A Model Context Protocol (MCP) server for interacting with Bugsnag. This server allows LLM tools like Cursor and Claude to investigate and resolve issues in Bugsnag. - Organization & Project Navigation: Easily browse your Bugsnag hierarchy - Error & Event Filtering: Find specific issues with powerful filtering options - Detailed Stacktrace Viewing: See formatted stacktraces with source code contex

A Model Context Protocol (MCP) server that enables AI assistants and agents (Claude, Cursor, Copilot, etc.) to search package registries and retrieve up-to-date package information. Alternatively, in Cursor, you can configure MCP servers in your settings: 1. Open Cursor Settings (Cmd/Ctrl + ,) 2. Search for "MCP" or go to Extensions > MCP 3. Add a new server with: - Name: package-registry - Comman

Drive four external coding CLIs — Google's Antigravity (Gemini 3.6 Flash), OpenAI Codex, the GitHub Copilot CLI, and Cursor — as sub-agents inside Claude Code. Text answers, image generation, real repo work, and parallel swarms, on quota you already pay for. One MCP server, four backends. It exposes Google Antigravity, OpenAI Codex, the GitHub Copilot CLI, and Cursor to Claude Code as clean MCP to

59 skills that actually work. Built by a physician-researcher, tested on real publications. MedSci Skills is an end-to-end research tool for physician and medical-engineering researchers — design → scaffold → validate → publish — for the clinical manuscript and the medical-AI model behind it. Its moat is the compliance layer — 49 reporting guidelines and risk-of-bias tools, referenc

An MCP (Model Context Protocol) server that can supercharge your VSCode + LaTex Workshop writing workflow Currently houses MCP tools, and new tools can be easily added in either Python and TypeScript. The Python process is the MCP server; selected tools are delegated to a small Node/TypeScript module via a bridge. - Read your cited papers, verify / add onto your claims - Access your python scripts

light weight MCP for code that just works A super light-weight, effective embedded MCP (AST-based) that understand and searches your codebase that just works! Using CocoIndex - an Rust-based ultra performant data transformation engine. No blackbox. Works for Claude, Codex, Cursor - any coding agent. - Instant token saving by 70%. - 1 min setup - Just claude/codex mcp add works! Please help star

Access thousands of remote job listings and company information directly from your AI coding assistant! This public MCP server provides real-time access to Himalayas.app's remote job database. 🌐 Public Server URL: https://mcp.himalayas.app/sse Search for specific jobs using keywords with advanced filtering. Parameters: - keyword (string, optional): Search term (e.g., 'Python', 'React', 'Product M

The Quickchat AI MCP (Model Context Protocol) server allows you to let anyone plug in your Quickchat AI Agent into their favourite AI app such as Claude Desktop, Cursor, VS Code, Windsurf and more. 1. Create a Quickchat AI account and start a 7-day trial of any plan. 2. Set up your AI's Knowledge Base, capabilities and settings. 3. Go to the MCP page to activate your MCP. Give it Name, Description

English | 简体中文 🧠 The data layer for AI systems. Skill Seekers turns any documentation, GitHub repo, or PDF into structured knowledge assets—ready to power AI Skills (Claude, Gemini, OpenAI), RAG pipelines (LangChain, LlamaIndex, Pinecone), and AI coding assistants (Cursor, Windsurf, Cline) in minutes, not hours. Skill Seekers is the universal preprocessing layer that sits between raw documentatio

Transform how you manage and access your AWS infrastructure by connecting Claude, Cursor AI, and other AI assistants directly to your AWS accounts through AWS IAM Identity Center (formerly AWS SSO). Get instant access to your cloud resources, execute commands, and manage EC2 instances using natural language. ✅ Ask AI about your AWS accounts: "Show me all my AWS accounts and available roles" ✅ Exec

Generate MCP tool definitions directly from a Swagger/OpenAPI specification file. OpenAPI-MCP is a dockerized MCP server that reads a swagger.json or openapi.yaml file and generates a corresponding Model Context Protocol (MCP) toolset. This allows MCP-compatible clients like Cursor to interact with APIs described by standard OpenAPI specifications. Now you can enable your AI agent to access any AP

This project provides a Model Context Protocol (MCP) server wrapper around the esp-rainmaker-cli Python library. It allows MCP-compatible clients (like LLMs or applications such as Cursor, Claude Desktop, and Windsurf) to interact with your ESP RainMaker devices using the official CLI. The Model Context Protocol (MCP) is a standardized framework that enables AI systems to interact with external to

Daisys-mcp is a beta version and doesn't have a stable release yet. But you can try it out by doing the following: 1. Get an account on Daisys and create an username and password. If you run on mac os run the following command: If you run on linux run the following command: 2. Add the following configuration to the mcp config file in your MCP client (Claude Desktop, Cursor, mcp-cli, mcp-vscode, et