
FrontStat MCP server
Which servers in the official MCP registry are FrontStat's own, whether they answer, and what they offer. A program checked each of these, nobody copied them from a product page.
read 2026-10-24
- Registry namecom.frontstat/visibilityverified in the MCP registry
The registry name sits under frontstat.com. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.
- Stateanswerschecked 2026-10-24
- Tools6
- Server calls itselffrontstat
- Server version1.0.0
- Protocol version2025-06-18
On 2026-10-24 the server answered initialize and tools/list without a sign-in. First answer in 214 ms.
- Whether its tools do the product's job has not been judged yet.
- Checked on 2 of the 7 days it takes to judge reliability.
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 scoreafter a weeka score needs 7 daily checks: 2 so far
- Answeredmeasuring2 of the 7 daily checks it takes to print a share
- Median first answer998 ms
- Space in an agent's context≈ 678 tokensthe definitions of all its tools (6), which an agent carries on every turn
- Tool definitionsA · 100 of 100
- Typed results0 of 6 toolsdeclared outputSchema: results come typed, read once
- Every tool passes all six checks.
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 (30%), doing the product's job (25%), definitions (20%), context (10%) and use (15%). 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_public_launchLook up a product launch that FrontStat already tracks: its name, its rank on this week's or this month's launch board, its visibility score (0 to 100), and whether ChatGPT, Claude and Gemini recommend it for its buyer question, with the…
get_visibilityYour latest FrontStat Pro report: date, visibility score, whether each AI search engine recommends your product for your main buyer question and who it names instead, and for your buyer questions how many answers recommend you (X of Y)…
list_buyer_questionsEach buyer question FrontStat asks the AI search engines about your market, with yes or no per engine: does the answer recommend your product. Needs FrontStat Pro: send your dashboard token as a Bearer token. Covers the domain on your…
who_wins_insteadThe products the AI search engines name instead of yours, and the sites they cite, each with how many answers it appears in, from your latest Pro report. Needs FrontStat Pro: send your dashboard token as a Bearer token. Covers the domain…
cited_sitesThe sites the AI search engines cite most when they answer your buyer questions, with how many answers cite each one, your own domain left out. These are the pages to get mentioned on. Needs FrontStat Pro: send your dashboard token as a…
visibility_historyOne point per day for the last 30 days: your visibility score and how many answers recommend your product. Use it to see whether your changes moved AI search engines. Needs FrontStat Pro: send your dashboard token as a Bearer token…
How to connect
Add the server to your MCP client config. Claude Desktop, Cursor and most other clients read this shape:
{
"mcpServers": {
"visibility": {
"type": "http",
"url": "https://frontstat.com/api/mcp"
}
}
}Add it
Claude Code, in a terminal
claude mcp add --transport http frontstat https://frontstat.com/api/mcpclaude.ai, ChatGPT and other clients: add https://frontstat.com/api/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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