Cursor AI Agent Skills

An MCP server (stdio transport) that wraps Hugging Face's LocalPythonExecutor (from the smolagents framework). It is a custom Python runtime that provides basic isolation/security when running Python code generated by LLMs locally. It does not require Docker or VM. This package allows to expose the Python executor via MCP (Model Context Protocol) as a tool for LLM apps like Claude Desktop, Cursor

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

An MCP (Model Context Protocol) server that connects AI agents like Cursor and Claude Code to your ElmapiCMS instance. Manage collections, fields, content entries, and assets programmatically through natural language. Or install locally: The server requires three environment variables: Add this to your Cursor MCP settings (~/.cursor/mcp.json): Add the MCP server using the Claude Code CLI: If your

MCP (Model Context Protocol) server plugin for 1C:EDT, enabling AI assistants (Claude, GitHub Copilot, Cursor, etc.) to interact with EDT workspace. - MCP Protocol 2025-11-25 - Streamable HTTP transport with SSE support - Project Information - List workspace projects and configuration properties - Error Reporting - Get errors, warnings, problem summaries with filters - Check Descriptio

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

AI‑powered YouTube uploader—no CLI, no YouTube Studio, and no secrets ever shared with LLMs or third‑party apps and all free of cost! It includes OAuth2 authentication, token management, and video upload functionality. - Upload videos to YouTube from MCP Client(Claude/Cursor/VS Code) - OAuth2 authentication flow - Access token and refresh token management - Multi Channel Support - Schedule video u

Linked API MCP server connects your LinkedIn account to AI assistants like Claude, Cursor, and VS Code. Ask them to search for leads, send messages, analyze profiles, and much more – they'll handle it through our cloud browser, safely and automatically. - Sales automation assistant. Ask your AI to find leads, check their profiles, and draft personalized outreach. It can search for "software engine

Edit drafts into natural prose, inspect AI-sounding patterns, or review how a specified audience might respond passage by passage. Zero Slop runs inside the user's existing AI assistant with local tools that protect source details. Use for humanizing or de-slopping writing, polishing outward-facing prose, social drafts, final editorial checks, or an explicit simulated reader review. Preserve facts, voice and format; reader simulations are hypotheses, not human feedback.

Verify any company's legal identity in one question. Look up LEI codes, validate counterparties, and trace corporate ownership structures using the official GLEIF database. Covers 2.8M+ entities across 200+ jurisdictions. 29 tools for LEI lookup, entity search, BIC/SWIFT cross-referencing, corporate ownership, and batch validation. Works with Claude Desktop, Claude Code, Cursor, VS Code, Windsurf,

A powerful Go-based MCP server that enables seamless integration between AI assistants (like Claude Desktop, Cursor) and Kanboard project management system. Manage your Kanboard projects, tasks, users, and workflows directly through natural language commands. ⚠️ Warning: To avoid issues like these: We recommend using mcpproxy as a proxy solution. - ✨ Features - 🚀 Quick Start - ⚙️ Configuration -

Clarity in Code, Confidence in Creation Lucidity is a Model Context Protocol (MCP) server designed to enhance the quality of AI-generated code through intelligent, prompt-based analysis. By providing structured guidance to AI coding assistants, Lucidity helps identify and address common quality issues, resulting in cleaner, more maintainable, and more robust code. Before you commit, just ask Lucid

Transform how you manage and track your work by connecting Claude, Cursor AI, and other AI assistants directly to your Jira projects, issues, and workflows. Get instant project insights, streamline issue management, and enhance your team collaboration. - Ask AI about your projects: "What are the active issues in the DEV project?" - Get issue insights: "Show me details about PROJ-123 including comm

You can run the MCP Server in a Docker container. This is useful if you want to avoid managing Python environments or dependencies on your local machine. See kestramcpdocker. Paste the following configuration into your MCP settings (e.g., Cursor, Claude, or VS Code): - Replace , , and with your actual credentials. - For OSS installations, you can use KESTRAUSERNAME and KESTRAPASSWORD instead of KE

A Model Context Protocol (MCP) server implementation for the Linear GraphQL API that enables AI assistants to interact with Linear project management systems. MCP Linear bridges the gap between AI assistant and Linear (project management tool) by implementing the MCP protocol. This allows to: - Retrieve issues, projects, teams, and other data from Linear - Create and update issues - Change issue s

Use when the user asks about WordPress codebases (plugins, themes, block themes, Gutenberg blocks, WP core checkouts) and you need to quickly classify the repo and route to the correct workflow/skill (blocks, theme.json, REST API, WP-CLI, performance, security, testing, release packaging).

Helps configure mcp-rubber-duck MCP server in AI coding tools. Triggers when users ask about adding rubber duck to Claude Desktop, Cursor, VS Code, Windsurf, Continue, or any MCP-compatible tool.

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

A Model Context Protocol (MCP) server for libSQL database operations, providing secure database access through Claude Desktop, Claude Code, Cursor, and other MCP-compatible clients. Runs on Node, written in TypeScript 1. Install: 2. Test locally: 3. Configure Claude Desktop with your Node.js path and database URL (see configuration examples below) ✅ Complete database management capabilities - All

An MCP (Model Context Protocol) server that exposes a collection of system prompts, summaries, and tool definitions from popular AI tools as MCP tools for AI coding environments like Cursor and Claude Desktop. - 🔍 Automatic Discovery – Every prompt in prompts/ is automatically exposed as an MCP tool - 🎯 Model-Aware Suggestions – Get prompt recommendations based on your LLM (Claude, GPT, Gemini,

Universal MCP server for CalDAV protocol integration. Works with any CalDAV-compatible calendar server including Yandex Calendar, Google Calendar (via CalDAV), Nextcloud, ownCloud, Apple iCloud, and others. - List available calendars - Create calendar events with reminders and attendees - Get events for today, week, or custom date range - Works with any CalDAV-compatible server (Yandex, Google, Ne

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

Sentry's MCP service is primarily designed for human-in-the-loop coding agents. Our tool selection and priorities are focused on developer workflows and debugging use cases, rather than providing a general-purpose MCP server for all Sentry functionality. This remote MCP server acts as middleware to the upstream Sentry API, optimized for coding assistants like Cursor, Claude Code, and similar devel

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

The memory system for AI coding agents. Decisions, lessons, and context that persist across sessions. mcp-name: io.github.omega-memory/omega-memory AI coding agents are stateless. Every new session starts from zero. - Context loss. Agents forget every decision, preference, and architectural choice between sessions. Developers spend 10-30 minutes per session re-explaining context that was already e