Let your AI agent use the index directly.
MCP Index implements WebMCP — the emerging web standard (document.modelContext) that lets a page expose tools to an in-browser AI agent. Instead of describing servers and making you copy commands, the agent calls the index itself: it searches the curated set and installs a server for you, live on this page.
The tools it exposes
Four tools, scoped to trusted listings only, so an agent acting on your behalf can never be steered to a flagged or dead server.
search_indexExplore trusted MCP servers by keyword or category. Flagged, spam, delisted, and dead entries are excluded — the agent only ever sees the curated set.
get_serverPull the full record for one server: what it does, our editorial take, repo and package links, verification status, and every install option.
install_serverHand the user the exact install command for a server, list any required credentials, and open its page for review. The must-have: explore, then install, without leaving the chat.
list_categoriesList every category and how many live servers it holds, so the agent can narrow a search precisely.
How to connect
An agent that speaks WebMCP
Use a browser with the native Web Model Context API (Chromium, behind the WebMCP origin trial) or the MCP-B extension, which bridges this page's tools to Claude, ChatGPT, Gemini, Cursor, or Copilot. No account or API key on our side.
Open this site and ask
With the page open, the four tools above register automatically. Ask your agent to find or install an MCP server — it does the rest.
Try asking
Trusted set only
The agent tools never surface a listing we've flagged as bad-faith, a delisted placeholder, or a server with a dead repo. Every result carries its verification status — hand-reviewed, or auto-verified by the nightly checks — so the agent can tell you exactly what it's about to install.