GitHub AI Agent Skills

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:

X (Twitter) data platform skill for AI coding agents. 120 REST API endpoints, 2 MCP tools, HMAC webhooks. Tweet search, user lookup, follower extraction, write actions, monitoring, giveaway draws, trending topics. Reads from $0.00015/call — 33x cheaper than the official X API.

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

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

Connect Open Data to LLMs in minutes! We enable 2 things: Open Data Access: Access to many public datasets right from your LLM application (starting with Claude, more to come). Publishing: Get community help and a distribution network to distribute your Open Data. Get everyone to use it! How do we do that? Access: Setup our MCP servers in your LLM application in 2 clicks via our CLI tool (starting

� 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

An MCP (Model Context Protocol) server that provides token-efficient access to OpenAPI (v3.0) and Swagger (v2.0) specifications via MCP Resource Templates. The primary goal of this project is to allow MCP clients (like Cline or Claude Desktop) to explore the structure and details of large OpenAPI specifications without needing to load the entire file into an LLM's context window. It achieves this

Platform APIs for model management, pricing, and usage tracking

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

A Model Context Protocol (MCP) server that provides tools for fetching dependency information from Clojars, the Clojure community's artifact repository for Cline, Roo Code, Cody, Claude Desktop etc. The quickest way to use the Clojars MCP Server is to run it directly with npx: You can also install it globally: To install Clojars Dependency Server for Claude Desktop automatically via Smithery: 1. C

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,

Windows 11 system management

Clean AI-generated code slop with a regression-safe, deletion-first workflow and optional reviewer-only mode

A Model Context Protocol (MCP) server for intelligent handling of large files with smart chunking, navigation, and streaming capabilities. - Smart Chunking - Automatically determines optimal chunk size based on file type - Intelligent Navigation - Jump to specific lines with surrounding context - Powerful Search - Regex support with context lines before/after matches - File Analysis - Comprehensiv

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,

Wrap any existing Echo API into MCP tools, enabling AI agents to interact with your API through Model Context Protocol. Inspired by gin-mcp but for the Echo framework. - Zero Configuration: Works with any existing Echo API - Multiple Schema Sources: Support for Swaggo, raw OpenAPI YAML/JSON, and manual schemas - Filtering: Include/exclude endpoints with wildcard patterns - MCP Compatible: Works wi