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 - **[Agent Interviews](https://github.com/thinkchainai/agentinterviews_mcp)** - Conduct AI-powered qualitative research interviews and surveys at scale with [Agent Interviews](https://agentinterviews.com).
 - **[AgentBay](https://github.com/Michael98671/agentbay)** - An MCP server for providing serverless cloud infrastructure for AI agents.
 - **[Agentic Framework](https://github.com/Piotr1215/mcp-agentic-framework)** - Multi-agent collaboration framework enabling AI agents to register, discover each other, exchange asynchronous messages via HTTP transport, and work together on complex tasks with persistent message history.
+- **[AgentRank](https://github.com/superlowburn/agentrank)** - Live-scored index of 25,000+ MCP servers and agent tools. Gives your AI real-time search across the ecosystem so every tool recommendation is current, not based on stale training data.
 - **[AgentMode](https://www.agentmode.app)** - Connect to dozens of databases, data warehouses, Github & more, from a single MCP server.  Run the Docker image locally, in the cloud, or on-premise.
 - **[AI Agent Marketplace Index](https://github.com/AI-Agent-Hub/ai-agent-marketplace-index-mcp)** - MCP server to search more than 5000+ AI agents and tools of various categories from [AI Agent Marketplace Index](http://www.deepnlp.org/store/ai-agent) and monitor traffic of AI Agents.
 - **[AI Endurance](https://github.com/ai-endurance/mcp)** - AI-powered training platform for runners, cyclists, and triathletes with over 20 tools for workout management, activity analysis, performance predictions, and recovery tracking.