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Find and compare MCP servers for AI agents
MCPhq is a discovery and ranking directory for Model Context Protocol (MCP) servers. Browse maintained MCP servers ranked by real adoption signals such as monthly installs, GitHub stars, and commit activity. Find copy-paste installation configurations for popular AI clients, compare servers, filter by language and category, and track weekly updates.
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MCPhq is a discovery and ranking directory for Model Context Protocol (MCP) servers. It catalogs thousands of maintained servers and orders them by real adoption signals rather than marketing claims, so you can see which tools developers actually install and keep using. Each listing surfaces monthly install counts, GitHub stars, and the date of the most recent commit, giving you a quick read on both popularity and whether a project is still alive. For anyone building with AI assistants, it turns a sprawling, fast-moving ecosystem into something you can browse, compare, and act on.
Servers are ordered by signals like monthly installs, GitHub stars, and commit recency, so the most-used and best-maintained options rise to the top. This makes it easier to separate actively maintained projects from abandoned ones.
Popular AI clients come with ready-to-copy installation configurations, removing the guesswork from getting a server running. You can move from discovery to setup without hunting through scattered documentation.
Browse by what you're building — Finance, Security, Browser Automation, Database, and dozens more — or cut the list by language such as TypeScript, Python, Go, or Rust. Filters like remote, open source, and Docker help narrow results further.
Side-by-side comparisons let you weigh two servers directly, while weekly updates show what shipped across the ecosystem. A pulse view tracks arrivals and releases over the last seven days.
MCPhq ranks MCP servers by what developers actually install and maintain, not by who shouts loudest.
That focus on real adoption signals is what gives the directory its value. Install counts and commit dates are hard to fake at scale, so the rankings tend to reflect genuine usefulness. The result is a resource that stays current as the ecosystem shifts week to week.
You're choosing an MCP server and want evidence of adoption before you commit, or you simply want to understand what the MCP landscape looks like right now. It's especially useful if you'd rather compare maintained options by category than sift through scattered repositories yourself.
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