GitHub AI Agent Skills

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

A Model Context Protocol server that provides access to your iTerm session. Efficient Token Use: iterm-mcp gives the model the ability to inspect only the output that the model is interested in. The model typically only wants to see the last few lines of output even for long running commands. Natural Integration: You share iTerm with the model. You can ask questions about what's on the screen, or

Ever wished you could just ask Portainer what's going on? Now you can! Portainer MCP connects your AI assistant directly to your Portainer environments. Manage Portainer resources such as users and environments, or dive deeper by executing any Docker or Kubernetes command directly through the AI. Portainer MCP is a work in progress implementation of the Model Context Protocol (MCP) for Portainer e

A community-built Model Context Protocol (MCP) server for the Spaceship API. Manage domains, DNS records, contacts, marketplace listings, and more — all through natural language via any MCP-compatible AI client. - 48 tools across 8 categories covering the full Spaceship API - 13 DNS record types with dedicated, type-safe creation tools (A, AAAA, ALIAS, CAA, CNAME, HTTPS, MX, NS, PTR, SRV, SVCB, TL

An MCP (Model Context Protocol) server that enables AI applications to outsource tasks to various model providers through a unified interface. Compatible with any AI tool that supports the Model Context Protocol, including Claude Desktop, Cline, and other MCP-enabled applications. Built with FastMCP for the MCP server implementation and Agno for AI agent capabilities. - 🤖 Multi-Provider Support:

if macbook or linux If the network is slow, you can set up a domestic mirror source. Method 1: On the setting page of cherry-studio, click on the MCP server, then click "Add Server", and subsequently configure it on the page. Method 2: Use the configuration parameters

An MCP server for JupyterCAD that allows you to control it using LLMs/natural language. Suggestions and contributions are very welcome. The default transport mechanism is stdio. To start the server with stdio, use the following command: To use the streamable-http transport, use this command instead: An example using the OpenAI Agents SDK is available at examples/openaiagentsclient.py. To run it, f

� 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

Mermaid MCP Server is an MCP server that helps agents turn large codebases (local folders or GitHub repositories) into Mermaid diagrams and render them as PNG images via Kroki, enabling fast, reliable understanding of a project’s structure and flow. When working with a new codebase, it’s easy to lose time jumping between folders and files. This server provides a clean, tool-based workflow for agen

A TwelveTake Studios project. A comprehensive Model Context Protocol (MCP) server that enables AI assistants to control REAPER DAW for mixing, mastering, MIDI composition, and full music production workflows. Built by a working producer with 7+ albums released. These aren't theoretical tools—they're battle-tested in real sessions. Version: 1.1.0 Most MCP servers just wrap REAPER's API and call it

Your agent has zero users. This fixes that. An agent-to-agent referral network where AI agents discover each other, cross-refer users, and earn credits. Available as an MCP server and HTTP API. Built by an AI agent that couldn't find its own customers. Published as io.github.oxgeneral/agentnet v1.0.0 You built an agent. It works. Nobody uses it. - 3M+ GPTs on OpenAI — most have zero users - 17,000

A Model Context Protocol (MCP) server that provides access to the Oura API. It allows language models to query sleep, readiness, and resilience data from Oura API. The server exposes the following tools: - getsleepdata(startdate: str, enddate: str): Get sleep data for a specific date range - getreadinessdata(startdate: str, enddate: str): Get readiness data for a specific date range - getresilienc

This skill should be used when the user asks to "generate documentation", "document this project", "create docs", "write documentation", "update documentation", "document all APIs", "generate onboarding docs", "create developer docs", or needs comprehensive codebase documentation. Orchestrates parallel AI agents to analyze code and produce documentation files.

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

The LeetCode MCP Server is a Model Context Protocol (MCP) server that provides seamless integration with LeetCode APIs, enabling advanced automation and intelligent interaction with LeetCode's programming problems, contests, solutions, and user data. - 🌐 Multi-site Support: Support​ both leetcode.com (Global) and leetcode.cn (China) platforms - 📊 Problem Data Retrieval: Obtain detailed problem d

1. 入门示例: tablestore-java-mcp-server 2. 基于 MCP 架构实现知识库答疑系统: tablestore-java-mcp-server-rag - 实现一个目前最常见的一类 AI 应用即答疑系统，支持基于私有知识库的问答，会对知识库构建和 RAG 做一些优化。 1. 入门示例: tablestore-python-mcp-server 1. Mem0-OpenMemory-MCP: tablestore-python-mem0-mcp-server 欢迎加入我们的钉钉公开群，与我们一起探讨 AI 技术。钉钉群号：36165029092

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

Cross-platform MCP (Model Context Protocol) server exposing LLM-accessible tools to list and kill OS processes via natural language queries. Perfect for shy ninjas who just want rogue processes gone: "Find and nuke the damn CPU glutton choking my system!" The following tools are exposed to MCP clients: - processlist: Lists running processes sorted by CPU or memory with optional name, user, status,

Microsoft 365 MCP Server A Model Context Protocol (MCP) server for interacting with Microsoft 365 and Microsoft Office services through the Graph This server supports multiple Microsoft cloud environments: - Node.js >= 20 (recommended) - Node.js 14+ may work with dependency warnings - Authentication via Microsoft Authentication Library (MSAL) - Comprehensive Microsoft 365 service integration - Rea

A Model Context Protocol (MCP) server for bulk Spotify operations - batch playlist creation, library exports, and large-scale library management. What makes this different from other Spotify MCPs? - Confidence scoring - Batch searches return HIGH/MEDIUM/LOW confidence for each match - Human-in-the-loop - Uncertain matches are exported for review, then re-imported - Bulk operations - Handle 500+ so

A lightweight Node MCP server around the kagi-ken package, providing access to Kagi.com services using Kagi session tokens: - Search: Searches Kagi - Summarizer: Uses Kagi's Summarizer to create summaries from URLs or text content Unlike the official Kagi API which requires API access, this MCP server uses your existing Kagi session to access both search and summarization features. "Kagi-ken" is a

mcp-name: io.github.henilcalagiya/google-sheets-mcp Google Sheets MCP Server provides seamless integration of Google Sheets with any MCP-compatible client. It enables full spreadsheet automation — including creating, reading, updating, and deleting sheets — through a simple and secure API layer. - Full CRUD support for Google Sheets and tables - Works with Continue.dev, Claude Desktop, Perplexity,

Framelink MCP for Figma Give your coding agent access to your Figma data. Implement designs in any framework in one-shot. Give Cursor and other AI-powered coding tools access to your Figma files with this Model Context Protocol server. When Cursor has access to Figma design data, it's way better at one-shotting designs accurately than alternative approaches like pasting screenshots. See quickstart

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