Gehosteter MCP-Server liefert Suchdaten fuer KI-Agenten und AI Overviews
KI-Agenten werden zunehmend zu Abnehmern von Suchdaten. Ein gehosteter MCP-Server laesst sich mit Claude Desktop, Cursor oder Agent-Frameworks einfacher anbinden als ein REST-Client und liefert die gleichen Daten wie fuer ChatGPT, Gemini und Google AI Overviews.
AI agents are increasingly the consumer of search data. If your tooling already speaks MCP — Claude Desktop, Cursor, an agent framework — wiring it to a hosted MCP server is less code than a REST client.
This post shows a hosted MCP server that returns what ChatGPT, Gemini, Google AI Mode and Google Search (including AI Overviews and News) answer, as structured JSON with sources. I work on it — it's called AnswerLine.
https://mcp.answerline.dev/mcp (streamable HTTP) Authorization: Bearer <key> Enter fullscreen mode Exit fullscreen mode For MCP clients that can't set headers, the key also works in the path: https://mcp.answerline.dev/<key>/mcp.
The server is listed in the GitHub repo and exposes tools, not resources — every call is one structured request:
A chatgpt call asks for {prompt, country} and comes back with the answer plus everything the UI showed: which sites were cited, which queries the model fanned out to, which ads and shopping cards appeared next to the answer. That last part is what makes it useful for visibility tracking — the citation list is the data you can't get from a SERP API.
Any MCP client that supports streamable-HTTP remote servers can point at the endpoint. Underneath it's standard JSON-RPC — you can even drive it with curl:
curl -X POST https://mcp.answerline.dev/mcp \ -H 'Content-Type: application/json' \ -H 'Accept: application/json, text/event-stream' \ -H 'Authorization: Bearer YOUR_KEY' \ -d '{"jsonrpc":"2.0","id":1,"method":"tools/list","params":{}}' Enter fullscreen mode Exit fullscreen mode tools/list and initialize are readable anonymously, so MCP registries can index the server without a key.
The pattern I actually use: a scheduled job asks every surface the same buyer-intent prompt set, diffs the citation lists week over week, and alerts when a competitor gets cited where you used to be. The public version of this runs weekly across ChatGPT, Gemini and AI Mode and publishes the result on a live leaderboard — in half the tracked categories the engines disagree about who the leading brand is.
500 one-time credits, no card — sign up at the dashboard. Failed requests aren't charged; pricing is per call on the pricing page.