Anole AI Visibility is answering right now. Last checked 14 min ago. It exposes 19 tools. Last commit 2 Nov 2026.
Audit website AI readiness, publish Markdown pages for LLMs and manage llms.txt.
Uptime history
6 days of history · worst day 99%
6 days agonow
98.9%
Uptime 24h
90 of 91 checks
19
Tools
read from the server
180 ms
Response time
average over 24h
0
Stars
last commit 2 Nov 2026
What changed 51
Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 3 November 2026. No other catalogue keeps this.
7 Nov
a tool changed version16 times that day
7 Nov
14 tools changed the parameters they ask for
analyze_content, compare_with_top_results, crawl_site and 11 more
7 Nov
6 tool descriptions were rewritten
add_site, compare_with_top_results, crawl_site and 3 more
6 Nov
a tool changed version7 times that day
4 Nov
a tool changed version2 times that day
3 Nov
a tool changed version6 times that day
and 27 more, back to 3 November 2026
Anole AI Visibility missed 2 checks this week
Everything else answered, so this is steady rather than shaky. We check every 15 minutes, which is how a one-off gets told apart from the start of a pattern, and how you hear about the next one within the hour instead of from your users.
Connect this server
Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 14 min ago.
run in your terminal
claude mcp add anole --transport http https://anole.app/mcp/Settings → Connectors → Add custom connector, then paste this address
https://anole.app/mcp/~/.codex/config.toml
[mcp_servers.anole]
url = "https://anole.app/mcp/".cursor/mcp.json
{
"mcpServers": {
"anole": {
"url": "https://anole.app/mcp/"
}
}
}.vscode/mcp.json
{
"servers": {
"anole": {
"type": "http",
"url": "https://anole.app/mcp/"
}
}
}Available tools 19
Read directly from the server with tools/list, grouped by what they act on.
If a tool disappears, we record the date.
document
create_document
Creates a draft Markdown document in Content Studio, from Markdown text or by converting a web page (source_url) to Markdown. Drafts are not public until published.
get_document
Full Markdown body and metadata of one Content Studio document.
update_document
Replaces the Markdown body and/or title/description of a document. The previous version is kept as a revision. A published document changes publicly at once.
site
add_site
Adds a website (domain) to the Anole account. It is crawled in the next background cycle or when a crawl is started.
get_site_overview
Crawl statistics, average AI-readiness score, llms.txt coverage and document counts for one site.
account
get_account
Returns the Anole plan, plan limits, AI credit balance and site usage of the account.
analyze
analyze_content
Runs the Anole SEO, readability and GEO analyzer on Markdown, HTML or a page URL of the site. Returns a 0-100 score, a traffic light and per-check results. Does not save anything.
compare
compare_with_top_results
Compares a page of the site with the pages ranking in the top 10 for a search phrase: title, meta description, H1-H3 structure and heading topics, word count, paragraphs, links, images, dates and structured data. Returns the client values, medians for the top results, a list of gaps ordered by impact and heading topics the top results cover that the page does not. Uses competitor_urls when given (for example from a web search); otherwise Anole fetches the current Google top 10 when its search API is configured. Analysed pages count towards the plan quota.
crawl
crawl_site
Starts a background crawl of the site sitemap and refreshes the audit. Returns immediately; the results appear in the site overview when the crawl finishes.
documents
list_documents
Markdown documents of a site in Content Studio. status: published (default), draft, archived or all.
fetch
fetch
Returns the full content of a search result (id like doc:123 or url:456).
generate
generate_document
Writes a draft Markdown document on a topic with the Anole AI writer and saves it in Content Studio. Uses AI credits (free with an Own Key plan). Not public until published.
llms
get_llms_txt
The llms.txt file Anole serves for a site, with its public URL.
publish
publish_document
Publishes a document: makes its .md URL public, adds it to the site llms.txt and pushes it to the customer server when auto-deploy is configured.
search
search
Searches published documents and audited URLs of the account sites. Returns result ids.
sites
list_sites
Lists the websites (domains) in the Anole account with their crawl status and average score.
unpublish
unpublish_document
Archives a document: removes its public .md URL and its llms.txt entry. Content is kept and can be published again.
url
get_url_audit
Full audit of one URL from the site sitemap, including the stored SEO/GEO analysis when available.
urls
list_urls
Sitemap URLs of a site with their audit result. filter: all, missing_md (no Markdown version), low_score (worst first), errors (HTTP errors).
Endpoints
| URL | Transport | State | Latency | Checked |
|---|---|---|---|---|
| https://anole.app/mcp/ | streamable-http | answering | 178 ms | 14 min ago |
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Anole AI Visibility — questions
Answers built from our own checks of this server.
What can Anole AI Visibility do?
It exposes 19 tools, read directly from the server on our last check. Among them: add_site, analyze_content, compare_with_top_results, crawl_site, create_document, fetch and 13 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README.
How MCP servers expose tools in the first place →
What is Anole AI Visibility mostly used for?
Its tools cluster around document and site. That is what this server is built to work with — the grouping comes from the actual tool names, not from a category we assigned.
Is Anole AI Visibility working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 90 of 91 checks got a reply (98.9%), average response time 180 ms. The bar chart above shows every period we have measured.
How do I connect Anole AI Visibility?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Anole AI Visibility need an API key?
No. Anole AI Visibility completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 19 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Anole AI Visibility?
It answers our handshake in 180 ms on average, which is faster than 76% of all working MCP servers we measure. That puts it in the quick quarter of the ecosystem. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is Anole AI Visibility open source?
The code is open source: it is published under the MIT licence and 0 stars on GitHub. The licence covers the code in the repository, not the hosted service at anole.app, which runs on its operator's own terms.