Azure DevOps MCP Server for Cline

基于七牛云产品构建的 Model Context Protocol (MCP) Server，支持用户在 AI 大模型客户端的上下文中通过该 MCP Server 来访问七牛云存储资源、利用 Dora 服务进行图片操作等。 如果有什么需求欢迎在下方评论，您也可以在 github 仓库中提 issue。

MCP server to provide Figma layout information to AI coding agents like Cursor

Repository management, file operations, and GitHub API integration

A Model Context Protocol (MCP) server that provides browser automation capabilities using Playwright. Enables LLMs to interact with web pages through structured accessibility snapshots, bypassing the need for screenshots or visually-tuned models.

Browser automation and web scraping

Stop feeding your agent raw HTML. BrowserControl gives LLMs true visual grounding with Set of Marks (SoM), letting them click exactly what they see without hallucinating selectors. With built-in developer tools, session recording, and persistent logins, it transforms web automation from a brittle guessing game into a reliable, human-like capability. Give your agent eyes, not just code.

GoalMochi isn’t a goal tracker—it’s a brand new way to manage your aspirations. Instead of juggling endless lists, GoalMochi guides you to focus on one goal at a time, forging a deeply personal narrative that keeps you motivated and on track. Powered by conversational AI, GoalMochi provides constructive insights and creative storytelling tailored to your unique motivations, helping you see your goal through to completion with a sense of momentum and fun. Goal Mochi works because it weaves proven visualization techniques into your planning process. Research shows that using mental imagery when forming implementation intentions leads to higher rates of goal achievement.¹ By collaborating with an AI “thought partner,” you’ll generate personally meaningful stories that tap into your intrinsic motivators, priming both your mind and emotions to move forward. It’s not about ticking boxes—it’s about intuitive goal management that meets you where you are and adapts with you. At the heart of this approach lies GoalMochi’s GoalMochi Agent, which transforms the typical, often dull process of goal tracking into an engaging, fun, and deeply resonant experience. With every completed goal, your insights and progress are securely captured, so you can reflect and build on them in the future. You don’t have to abandon your usual tools—track your tasks wherever you like. GoalMochi simply turns goal-tracking into a dynamic story that evolves, energizes, and empowers you to achieve what matters most. Getting started is EASY! 1. Email story@GoalMochi.com with some details about you and the goal you want to achieve 2. Log into GoalMochi.com with the same email address (or with a Google account connected to your email) to schedule a daily goal summary to be emailed to you 3. Email story@GoalMochi.com at any time to request a new story about your goal or give feedback, tell GoalMochi you've completed your goal and want to work on a new one, and so on. Stories from GoalMochi and daily summaries include AI deep research, so you're both inspired and informed!

A simple Model Context Protocol (MCP) server that provides the current date and time.

MCP Advisor & Installation - Use the right MCP server for your needs

An MCP (Model Context Protocol) server for searching and fetching Unsplash photos with proper attribution. Built for LLM workflows that generate content pages and need compliant, ready-to-embed credits.

AI coding agents excel at the Build phase of a web app, but struggle with the Verify phase. Squidler is designed to validate your web app as a human based on natural language use cases, and without write brittle, DOM-dependent tests. With the Squidler MCP server you enable you AI coding agents, like Cursor, Claude Code, Replit, Lovable etc to work with Squidler. This means that you can have your coding agent build a feature, describe the use case in natural language for Squidler, ask Squidler to test it, to get the details of how the test run went, and details of all problems or friction that were found when using your web app.

One API for Search, Crawling, and Sitemaps

A Serper MCP Server

Automatically create a remote browser to complete your specified tasks, developed based on Browser Use + Sandbox. 自动创建一个远程浏览器，完成你指定的任务，基于Browser Use + Sandbox开发。

A Model Context Protocol Server connector for Perplexity API, to enable web search without leaving the MCP ecosystem.

[GET API KEY AT https://www.the-thoughtbox.dev/] Thoughtbox is a reasoning ledger and context engine for AI agents. It provides structured reasoning tools, enabling agents to think step-by-step, branch into alternative explorations, revise earlier conclusions, and maintain a persistent record of their cognitive process.

SIGMAEO is a comprehensive SEO intelligence MCP server that provides 52 powerful tools for AI assistants like Claude and ChatGPT. Domain Intelligence: Analyze any website's traffic, authority metrics, keyword rankings, backlink profile, and identify top competitors. Keyword Research: Discover keyword opportunities with search volume, difficulty scores, CPC data, and topical clustering. Find content gaps between you and competitors. SERP Analysis: Get complete search results breakdowns including featured snippets, People Also Ask questions, and ranking factors for any keyword. Page Audits: Run comprehensive on-page SEO audits covering meta tags, headings, readability, E-E-A-T signals, and technical issues. Technical SEO: Check Core Web Vitals, crawl errors, internal linking structure, and site-wide technical health. Competitor Analysis: Compare multiple domains side-by-side, track ranking changes, and uncover competitor content strategies. AI Citation Tracking: Monitor your brand's presence in Google AI Overviews and responses from ChatGPT, Claude, Gemini, and Perplexity. Secure OAuth 2.0 authentication. Real-time data. Multi-region support for US, UK, AU, and more.

trainedby.ai - Your AI fitness coach, but with actual data Connect your wearables (Garmin, Oura, Whoop, Apple Health, 50+ platforms) to ChatGPT or Claude. Your AI coach finally knows your real training load, sleep, and recovery—without you typing a word. The Problem People use ChatGPT for marathon training, strength programs, and fitness planning. It's knowledgeable and available 24/7. But every conversation starts from zero. You describe your fitness level, paste Garmin screenshots, try to remember last week's workouts and how you slept. The advice is based on what you told it, not what actually happened. The Solution trainedby.ai connects your wearables directly to your AI assistant. When you open ChatGPT and ask about training, it already knows: Recent workouts (weeks, months, year) Sleep quality and patterns HRV and resting HR trends Recovery metrics and training load Nutrition and cycle data (if tracked) No context dumps. No guessing. Just real data. How It Works Smart compression turns raw wearable data into trends AI can understand—elevated RHR, declining HRV, poor sleep consistency. Data rolls up from days → weeks → months → years. Add notes for goals, injuries, and availability. Then just chat. Free to use. Connect wearables, add to your AI, start training smarter.

Web and local search using Brave's Search API

Official MiniMax Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech, image generation and video generation APIs.

An MCP server implementation that provides a tool for dynamic and reflective problem-solving through a structured thinking process.

An MCP server that provides a tool for sending transactional emails via Mailtrap

Mysql_mcp_server_ddz