Mentionry
com.mentionry/mentionryFind who links to your competitors but not you, judge each opening, and draft the pitch.
Tools · 14
Judge whether a domain is worth running link building for at all, from live search data. Returns a verdict, the measured signals behind it, and the honest case against. This is the same free diagnosti…
Read a domain and return what we think it is about: a description, its audience, and the keywords it should be found for. This is the brief every other tool takes as input, so call it first when you d…
Find the domains competing with this one, from both search results and link profile overlap. Returns each candidate with the evidence for it, so a wrong suggestion can be recognised rather than truste…
Find pages that link to the named competitors but not to you, classified by whether a link is realistically winnable and why. Competitors are excluded from their own results: a competitor is never a p…
Search the open web for pages that would plausibly link to this site: resource pages, roundups, listicles and directories in its subject. Returns each with the reason it was kept.
Check a list of domains against your live backlink profile and report which of them now link to you, when the link first appeared, and whether it is still there. A link that was removed shows as a cha…
Write one outreach email for one prospect, in your own words, using the reason that prospect would link to you. It returns the subject and body and sends nothing: sending happens from your own mailbox…
The agents on this account: what each is called, how many steps it has, whether it would run as it stands, and when it last changed. Call describe_agent next to learn what one needs before running it.
What one agent does, step by step, and what it needs: the values you must pass to run_agent, what it hands back, how many of its steps reach a vendor that charges, and anything currently stopping it f…
Run one of your agents once and return what every step did, in order, with what it returned and how long it took. Pass its declared inputs as an object keyed by their `key` from describe_agent. Steps …
The documents your agents have produced: what each is called, which agent wrote it, how long it is and how many versions it has. Pass an id to read_document for the text.
The text of one document your agent wrote, with the agent, the step and the values that run was given. Returns the newest version unless an older one is asked for.
The account's own answer-engine measurements over a window: how often each tracked brand appears in recorded answers (visibility), its share of all mentions (share of voice), its mean position, and th…
Which outside tools this account has connected, and what each one is allowed to do here. Call it before offering to file, post or draft anything, so you can say what is actually available instead of g…
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How to use
Add to your Claude Desktop / Cursor / Cline MCP config:
{
"mcpServers": {
"mentionry": {
"url": "https://mentionry.com/api/mcp",
"transport": "streamable-http"
}
}
}