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MCP registries shift from catalogs to rankings for 2026

The landscape of Model Context Protocol (MCP) registries is evolving, with different platforms serving distinct purposes for developers seeking MCP servers and agent skills. The official MCP Registry (registry.modelcontextprotocol.io) acts as a canonical, machine-first namespace for install metadata. mcpmarket.com focuses on volume and provides rankings based on GitHub stars, though it intentionally blocks AI crawlers. Other directories like mcp.so offer broad collections, while Glama integrates a directory within its AI workspace. Skillselion aims to rank by actual adoption data, prioritizing install counts over proxies like stars, and deliberately allows AI crawlers. AI

IMPACT Developers will need to consider how AI crawlers interact with registries when choosing tools, impacting AI's ability to discover and utilize new MCP servers.

RANK_REASON The item discusses the landscape and purpose of various MCP registries, offering analysis and comparison rather than announcing a new product or event.

Read on dev.to — MCP tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

MCP registries shift from catalogs to rankings for 2026

COVERAGE [1]

  1. dev.to — MCP tag TIER_1 English(EN) · Skillselion ·

    MCP registries in 2026, compared: one is canonical, one is huge, and almost none can tell you what to install

    <p>It is 1 AM and you need a Postgres MCP server. Not a list of Postgres MCP servers: the one you should actually run. You check five directories and get five different answers. One sorts alphabetically, one sorts by GitHub stars, one shows you 400 results with a search box, one …