A community-curated comprehensive index of MCP servers covering 38 categories and 7,260+ entries, serving as a one-stop discovery hub for AI tool integration.
Awesome MCP Servers is a comprehensive index of Model Context Protocol (MCP) servers maintained by the TensorBlock organization. MCP is defined as the "USB-C of AI"—an open standard protocol that enables AI models to safely connect with external tools, APIs, databases, and file systems.
The project uses a two-tier documentation structure: the main README serves as an aggregated entry point showing the latest 30 entries per category, while 38 standalone Markdown files under the docs/ directory house complete category listings. Covered categories span AI & LLM Integration, Databases, Cloud Platforms & Services, Browser Automation & Web Scraping, Code Execution, Search, Security, Science & Research, and many more.
The project accepts community contributions via open PRs, requiring entries to be publicly accessible and placed in the most relevant category. As of May 30, 2025, it indexes 7,260+ MCP servers with 409+ commits, reflecting a high-frequency maintenance cadence. This is a pure documentation/index repository with no executable code or runtime services, primarily serving users of Claude Desktop, Cursor, Windsurf, and similar AI clients for rapid MCP tool discovery.
Full 38-Category List: 🤖 AI & LLM Integration · 🎨 Art, Culture & Media · 🌐 Browser Automation & Web Scraping · 🏗️ Build & Deployment Tools · ☁️ Cloud Platforms & Services · ✨ Code Analysis & Quality · 💻 Code Execution · 💬 Communication & Messaging · 📝 Content Management Systems · 📊 Data Analysis & Business Intelligence · 🗄️ Databases · 🛠️ Developer Productivity & Utilities · 📁 Filesystems · 💰 Finance & Crypto · 🧰 Frameworks · 🎮 Gaming · ⚙️ Hardware & IoT · ❤️ Healthcare & Life Sciences · 🏛️ Infrastructure · 🧠 Knowledge Management & Memory · 🗺️ Location & Maps · 📈 Marketing, Sales & CRM · 📡 Monitoring & Observability · 🖼️ Multimedia Processing · 🖥️ Operating System & Command Line · ✅ Project & Task Management · 🔬 Science & Research · 🔎 Search · 🔒 Security · 📱 Social Media & Content Platforms · ⚽ Sports · ✈️ Travel & Transportation · 🔧 Utilities & Helpers · 🔄 Version Control
Usage Path:
- Browse the GitHub README by category
- Use GitHub's built-in search to find specific tools
- Click entry links to navigate to the corresponding MCP server repo for installation
Contribution Path: Fork repo → Add entries per format spec → Submit PR
Related Project: TensorBlock also maintains Forge—an open-source AI model provider management middleware service.
Unconfirmed Information: Whether automated scripts are used for fetching/validating entries; review criteria beyond public accessibility; exact counting methodology for 7,260+; sync mechanism between docs/ and README; stale entry cleanup process.