RMCP is a searchable directory of public Model Context Protocol servers. It aggregates thousands of remote MCP endpoints so that both human users and AI agents can locate suitable servers and tools for specific tasks without needing a registry API key.
The directory contains 3,072 servers, 3,129 endpoints, and 58,366 known tools. It supports fuzzy search and tool-aware queries across categories that include AI and machine learning, analytics, developer tools, e-commerce, content tools, data collection, and dozens of others. Visitors can browse recently added entries, view details such as the number of tools per endpoint, and inspect individual servers such as those providing blog-post access, job data, or curated web apps.
It functions as an instantly updated remote MCP directory. Searches can target popular areas such as developer tools, e-commerce, analytics, and AI search. The service is delivered through a web interface at rmcp.dev that presents the catalog, category lists, and direct links to explore each entry.
In the Other AI space, RMCP takes a focused approach. It focuses on discovering and connecting to the right remote Model Context Protocol servers and tools without needing a registry API key. It is built as a consumer product for AI developers and agents. RMCP is free to use. It runs on the web and API.
Among its 6 catalogued features are Fuzzy Search, Tool-aware Search, and Category Browsing. It exposes integrations via an MCP server and a public API.
Summary written by a language model from the project’s public pages.
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