TofuBofu AI Visibility MCP Server

Start a free AI-visibility scan for a B2B company's website. Checks how often AI engines (ChatGPT, Claude, Perplexity, Gemini, Google AI Mode, Microsoft Copilot) name the company when buyers ask for vendor recommendations, and finds the gaps. The scan runs in the background (roughly 1-2 minutes); call get_visibility_report with the returned report_id to read the score and findings. ASK THE USER for geo_scope and sells_to before calling, if you do not already know them. Everything past `email` is optional and the scan runs without it, but geo_scope changes EVERY question we generate: a firm that sells across one country, scored on one city's questions, looks invisible when it is not. Guessing is worse than asking, and asking costs one line of conversation. Where you do not know, omit the field rather than inventing a plausible value: an omitted field is recorded as unknown, and the report says its framing was assumed. Every parameter carries its own description, generated from the one intake contract the in-app scan form renders from, so what you are told here and what a customer is asked are the same question. Returns: report_id, a report_url to view live, whether an existing report was reused (free scan already used this month), and which intake answers were missing, so you can offer to re-run with them.

Fetch the results of an AI-visibility scan started with scan_ai_visibility. Args: report_id: The id returned by scan_ai_visibility. Returns: While running: {status: "running", progress}. When done: the visibility score, how often AI mentions the brand, share of voice, top competitors winning the answers, and the highest-priority fixes, plus the report_url.