Use the toolkit from your AI assistant
This site is an MCP server. Connect Claude, Cursor, ChatGPT or any client that speaks the protocol, and the assistant can run the audit, validate an llms.txt, search the catalog and add a site to it — in the middle of a conversation, with no account.
Endpoint
https://ailovemysite.com/mcp
Send POST requests with Content-Type: application/json. No session, no token: each request stands on its own. Tools that fetch a website share a budget of 30 fetches per 10 minutes per client.
Connect
Claude Code
claude mcp add --transport http ailovemysite https://ailovemysite.com/mcp
Claude Desktop, Cursor, Windsurf, VS Code
Add the server to the client's MCP configuration (a mcp.json or the app's connector settings):
{
"mcpServers": {
"ailovemysite": {
"type": "http",
"url": "https://ailovemysite.com/mcp"
}
}
}ChatGPT and other hosted clients
Add a custom connector / remote MCP server and paste the endpoint address. Authentication: none.
Tools
8Resources: ailms://catalog/llms.txt, ailms://levels. Prompt: improve_ai_visibility.
Try it from the terminal
curl -s https://ailovemysite.com/mcp \
-H 'Content-Type: application/json' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"search_llms_catalog","arguments":{"query":"shop","limit":5}}}'For the full picture, see the MCP specification. The server speaks protocol revisions 2024-11-05 through 2025-11-25.
Why publish an MCP server?
The same reason to publish an llms.txt: assistants prefer sources they can use cleanly. A tool an assistant can call is a source it can quote with confidence, and every site added through it joins the catalog with a verified file.