See how ChatGPT, Claude, Gemini and Perplexity read any website. Scored out of 100.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β we're steadily working through the catalog.
π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Ask your assistant whether the answer engines can see a website, and get a number back.
The audit reads a live site the way an assistant does β the identity files an
engine looks for (llms.txt, ai.json and the rest), the crawler policy, the
schema graph, page health β and then asks Claude, ChatGPT, Gemini and
Perplexity whether they name it. One score out of 100 across eight weighted
sections.
It is the same audit that runs at inite.ai/en/analyze.
Three of the tools run entirely on your machine β a robots.txt fetched, a
file probed for, a page parsed. No account, no allowance, no call home.
Signing in adds the two that cost something real: the answer engines are actually asked whether they name the site, and the eight weighted sections are scored.
Claude Desktop, Cursor, or any client that launches a stdio server:
Then sign in once:
That opens a browser, you approve, and the token is stored at
~/.config/inite/mcp.json with owner-only permissions. Authorization code with
PKCE over a loopback redirect, the flow RFC 8252 prescribes for a native app.
Nothing is written to the repository and no secret ships in the package.
Already have a token (CI, a shared config, a container):
INITE_TOKEN wins over the stored file.
Client speaks the MCP authorization flow? Skip this package. Point it
straight at https://inite.ai/api/mcp and it will discover the rest: an
unauthenticated call answers 401 with WWW-Authenticate naming
the protected-resource metadata,
which names the authorization server.
Local β no account:
| tool | what it does |
|---|---|
check_ai_access(url) | Which AI crawlers robots.txt lets in, separating the ones that fetch a page to answer a live question from the ones that only collect training data. Blocking the first kind is what makes a site invisible; blocking the second costs nothing. |
check_identity_files(url) | Which of the ten identity files exist β llms.txt, ai.json, identity.json and the rest. |
check_page_signals(url) | Title, description, canonical, hreflang, and the Schema.org types in the page's JSON-LD. |
Remote β needs an account:
| tool | what it does |
|---|---|
analyze_site(url) | Starts the full audit and returns a run_id. Takes about a minute. |
get_analysis(run_id) | Progress while it runs; the score out of 100 and the report address once it finishes. |
Two tools rather than one for the audit, because it is asynchronous. A single tool that blocked for a minute would be torn down by most clients' timeouts.
Two halves.
The local checks are real work done here: fetching, parsing, and the robots
rules applied properly β most-specific group wins, longest matching rule wins,
Allow breaks a tie. They cost nobody anything because your machine does them.
The remote half defines no schemas of its own. It asks inite.ai what it
offers and forwards calls there, so that tool list is whatever the service
implements today. A local copy would be a second source of truth, and the first
thing it would do is drift.
What stays on the server is what costs something or is ours: four answer
engines asked whether they name a site, and the weights that turn everything
into one number. The local tools report facts; analyze_site reports a score.
An audit spends real work β fetches, and model calls across four answer engines β so it runs against an account rather than anonymously. The daily allowance and the depth of the report are your plan's own, exactly as on the website: a free account gets the teaser tier, a paid one the full pipeline. Plans are here.
| variable | meaning |
|---|---|
INITE_TOKEN | Use this token instead of the stored one. |
INITE_MCP_URL | Point at a different endpoint. Default https://inite.ai/api/mcp. |
INITE_TOKEN_FILE | Where the token lives. Default ~/.config/inite/mcp.json. |
INITE_AUTH_URL | Authorization server. Default https://auth-api.inite.ai. |
Published to the MCP registry as ai.inite/inite-visibility, a namespace held
by proving control of inite.ai β the public half of the key is served at
/.well-known/mcp-registry-auth.
Named by the domain rather than the code host on purpose: a service whose whole job is being legible to machines should tell them who it belongs to in its own name.
npx @inite/visibility resolves because there is exactly one binary in the
package. npm looks for a command matching the package name with the scope
stripped β visibility β does not find it, and runs the only one there is.
The binary is called inite-visibility rather than visibility on purpose: a
scoped package has no business claiming a word that general in your PATH on
a global install. The cost is that a second binary would break the line above
for every client, so a test pins it at one.
If you are invoking it from a directory that contains this package's own
package.json, npm prefers the local copy and finds no linked command. Name it
explicitly there:
The tests cover what the bridge can get wrong without saying so: dropping the credential, turning "signed out" into "broken", swallowing an error into a success, and letting a stale file beat the environment.
MIT. The service it talks to is INITE.
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