Mcp AI Agent Skills

A Model Context Protocol (MCP) server implementation for Azure DevOps, allowing AI assistants to interact with Azure DevOps APIs through a standardized protocol. This server implements the Model Context Protocol (MCP) for Azure DevOps, enabling AI assistants like Claude to interact with Azure DevOps resources securely. The server acts as a bridge between AI models and Azure DevOps APIs, providing

searchcraft-mcp-server An MCP Server powered by Searchcraft – the developer-first vertical search engine. The Searchcraft MCP Server provides a suite of tools for managing your Searchcraft cluster's Documents, Indexes, Federations, Access Keys, and Analytics. It enables MCP Clients, like Claude Desktop, to be prompted in plain English to perform administrative actions like setting up search indexe

MCP server to look up domain names via rdap(1) and then whois(1). - Checkout the repo - build it: go build ./... - Point your MCP client at the binary:

A MCP server to connect to wolfram alpha API. This is analogous to the !wa bang in duckduckgo search. Query Wolfram Alpha api. You must set the WOLFRAMAPIKEY environment variable. Get an api ket from Wolfram Alpha. This was tested with the full results API, but it might not be required. Since the official MCP inspector does not have good environment support, I reccommend using wong2's mcp-cli-insp

An implementation of Claude Code capabilities using the Model Context Protocol (MCP). This project provides an MCP server that implements Claude Code-like functionality, allowing Claude to directly execute instructions for modifying and improving project files. By leveraging the Model Context Protocol, this implementation enables seamless integration with various MCP clients including Claude Deskt

Model Context Protocol (MCP) server for Atlassian products (Confluence and Jira). Supports both Cloud and Server/Data Center deployments. Confluence Demo Go to https://id.atlassian.com/manage-profile/security/api-tokens and create a token. Add to your Claude Desktop or Cursor MCP configuration: Ask your AI assistant to: - "Find issues assigned to me in PROJ project" - "Search Confluence for onboar

This project is a Model Context Protocol (MCP) server for interacting with the VRChat API. It allows you to retrieve various information from VRChat using a standardized protocol. The VRChat MCP server provides a way to access VRChat's API endpoints in a structured manner. It supports a wide range of functionalities, including user authentication, retrieving user and friend information, accessing

ntfy-me-mcp provides AI assistants with the ability to send real-time notifications to your devices through the ntfy service (either public or selfhosted with token support). Get notified when your AI completes tasks, encounters errors, or reaches important milestones - all without constant monitoring. The server includes intelligent features like automatic URL detection for creating view actions

An MCP server providing curated Swift and SwiftUI best practices from leading iOS developers — with intelligent search, persistent memory, and optional premium integrations. If you want a lightweight, portable Swift/SwiftUI best-practices package without runtime tooling, check out: swift-patterns-skill: Designed as a portable Agent Skill focused on Swift/SwiftUI patterns, architecture guidance, an

一个将 OpenAPI/Swagger 规范转换为 Model Context Protocol (MCP) 格式的工具 零配置将您的 REST API 转换为 AI 可调用的工具 🚀 快速开始 • 📖 使用指南 • 🛠️ 开发 Languages: English | 中文 MCP Swagger Server 是一个将 OpenAPI/Swagger 规范转换为 Model Context Protocol (MCP) 格式的工具。 - 🔄 零配置转换: 输入 OpenAPI 规范，立即获得 MCP 工具 - 🎯 渐进式命令行: 提供逐步引导的命令行界面，方便用户配置 - 🔌 多传输协议: 支持 SSE、Streamable 和 Stdio 传输 - 🔐 安全认证: 支持 Bearer Token 认证保护 API 访问 - Node.js ≥ 20.0.0 - pnpm

日本語版 READMEはこちら Model Context Protocol (MCP) server implementation that integrates the LINE Messaging API to connect an AI Agent to the LINE Official Account. 1. pushtextmessage - Push a simple text message to a user via LINE. - userId (string?): The user ID to receive a message. Defaults to DESTINATIONUSERID. Either userId or DESTINATIONUSERID must be set. - message.text (string): The plain text

Transform how you work with Bitbucket by connecting Claude, Cursor AI, and other AI assistants directly to your repositories, pull requests, and code. Get instant insights, automate code reviews, and streamline your development workflow. - Ask AI about your code: "What's the latest commit in my main repository?" - Get PR insights: "Show me all open pull requests that need review" - Search your cod

A Model Context Protocol (MCP) server that enables AI assistants to play tic-tac-toe through standardized tool interfaces. Perfect for demonstrating AI-human collaboration and MCP integration. This project implements a complete tic-tac-toe game as an MCP server, allowing AI assistants like Claude to: - Create and manage multiple game sessions - Make strategic moves and analyze positions - Provide

Welcome to the Coin MCP Server – your one-stop shop for snagging the latest cryptocurrency prices faster than you can say "To the moon!" 🌙 Built with FastMCP and spiced up with zod for validation, this little server is here to fetch token prices from Bitget’s API like a trusty crypto butler. 🧑‍💼 中文文档 | English This project spins up a server that lets you query the current price of any cryptocur

Large Language Models (LLMs) have made incredible strides in code generation and developer productivity. However, they face a key limitation: they can only reliably use APIs and libraries they’ve seen during training. This creates a bottleneck for adopting new tools, SDKs, or internal APIs — LLMs simply don’t know how to use them effectively. While tools can be given source code access (when inter

Instead of manually checking the Rybbit dashboard, let your AI assistant query analytics data directly: - "How many users visited the site today?" - "Show me the top pages by bounce rate this week" - "What errors occurred in the last hour?" - "Show user journey from homepage to checkout" - "Compare browser usage between mobile and desktop" Or clone and build: Add to your ~/.claude/settings.json or

MCP Server that can connect to a Kubernetes cluster and manage it. Supports loading kubeconfig from multiple sources in priority order. Before using this MCP server with any tool, make sure you have: 1. kubectl installed and in your PATH 2. A valid kubeconfig file with contexts configured 3. Access to a Kubernetes cluster configured for kubectl (e.g. minikube, Rancher Desktop, GKE, etc.) 4. Helm v

🚀 Try ApeRAG Live Demo - Experience the full platform capabilities with our hosted demo ApeRAG is a production-ready RAG (Retrieval-Augmented Generation) platform that combines Graph RAG, vector search, and full-text search with advanced AI agents. Build sophisticated AI applications with hybrid retrieval, multimodal document processing, intelligent agents, and enterprise-grade management feature

A Model Context Protocol (MCP) server for managing and interacting with the Flowcore Platform. If you're curious about how it works, you can check out our video, where we set it up and demonstrate what it can do. You can run this package directly using npx without installing it: Replace and with your Flowcore username and PAT (Personal Access Token). If you prefer to install the package globally:

A simple MCP server for Yahoo Finance using yfinance. This server provides a set of tools to fetch stock data, news, and other financial information. - yfinancegettickerinfo - Retrieve stock data including company info, financials, trading metrics and governance data. - symbol (string): The stock symbol. - yfinancegettickernews - Fetches recent news articles related to a specific stock symbol with

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. This document outlines the setup process and provides a basic example of using the client. Ingest anything from Slack, Discord, websites, Google Drive, email, Jira, Linear or GitHub into a Graphlit project - and then search and retrieve relevant knowledge within an MCP client like Cursor, Wind

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

An MCP server for Timeplus. generatesql to give LLM more knowledge about how to query Timeplus via SQL - Execute SQL queries on your Timeplus cluster. - Input: sql (string): The SQL query to execute. - By default, all Timeplus queries are run with readonly = 1 to ensure they are safe. If you want to run DDL or DML queries, you can set the environment variable TIMEPLUSREADONLY to false. listdatabas

Work with code and text, run processes, and automate tasks, going far beyond other AI editors - while using host client subscriptions instead of API token costs. - How to install - Remote MCP (ChatGPT, Claude Web) - Getting Started - Handling Long-Running Commands - Work in Progress and TODOs - Sponsors and Supporters - Testimonials - Frequently Asked Questions - Contributing All of your AI develo