
QQQ MCP server
Which MCP servers are QQQ's own, from the official registry and from asking its own domain, whether they answer, and what they offer. A program checked each of these, nobody copied them from a product page.
read 2026-10-19
- Registry nameee.qqq/ai-visibilityverified in the MCP registry
The registry name sits under qqq.ee. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.
- Stateanswerschecked 2026-10-19
- Tools3
- Server calls itselfee.qqq/ai-visibility
- Server version1.1.0
- Protocol version2025-06-18
On 2026-10-19 the server answered initialize and tools/list without a sign-in. First answer in 79 ms.
- Its tools do none of the product's use cases we checked: Run technical SEO audits on a website; Earn backlinks through editorial article placements.
Said by rules from the measurements above. The likely first call is a model's pick from the tool list; read its description before relying on it.
- INITE MCP score65 of 100answers 100 · does the job 0 · definitions 100 · context 100 · use 0 · connects 100
- What an agent can do with it0 of 2 use cases
- Answered100% of days15 of 15 daily checks
- Median first answer174 ms
- Space in an agent's context≈ 689 tokensthe definitions of all its tools (3), which an agent carries on every turn
- Tool definitionsA · 100 of 100
- Typed results0 of 3 toolsdeclared outputSchema: results come typed, read once
- Every tool passes all six checks.
What an agent can do with it
- cannot · Run technical SEO audits on a website
- not sure · Check visibility in ChatGPT and Google AI answers
- cannot · Earn backlinks through editorial article placements
Each of the product's use cases, put to Jev against this server's tool list: can an agent do it with these tools?
Worth a look
None of the five warning signs in these definitions.
A program checks the server once a day: initialize and tools/list, no model. Tokens are the definitions' length at about four characters a token. The grade averages six checks of every tool's name, description, schema and annotations; it says how well the tools are described, not whether they work. The score weighs what was measured and nothing else: answering (25%), doing the product's job (25%), definitions (20%), context (10%), use (10%) and how readily a client connects (10%). A part that was not measured is left out, and a hidden instruction caps the score at 40. The state of vendors' MCP servers: method and numbers →
check_ai_visibilityFree AI visibility and GEO (generative engine optimization) check for a company website by QQQ (qqq.ee). Checks whether AI crawlers (GPTBot, OAI-SearchBot, ClaudeBot, PerplexityBot, Google-Extended ...) may read the site, plus robots.txt…
get_public_reportReturns the latest public AI visibility report of a domain from QQQ (qqq.ee), when someone has already run the full check on qqq.ee: report date, market and field, in how many search-grounded ChatGPT, Gemini, Perplexity and Claude answers…
get_tool_infoDescribes the free QQQ AI Visibility Checker (qqq.ee): what it measures (brand mentions and website citations in ChatGPT, Gemini and Perplexity answers, AI crawler access, technical readiness for AI search / GEO), its limits, and the…
How to connect
Add the server to your MCP client config. Claude Desktop, Cursor and most other clients read this shape:
{
"mcpServers": {
"ai-visibility": {
"type": "http",
"url": "https://qqq.ee/mcp"
}
}
}Add it
Claude Code, in a terminal
claude mcp add --transport http qqq https://qqq.ee/mcpclaude.ai, ChatGPT and other clients: add https://qqq.ee/mcp as a custom connector in the settings.
Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.
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