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OperStack MCP Server

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answering

OperStack is answering right now. Last checked 3 min ago. It exposes 11 tools.

Scores whether AI assistants can read, understand and quote a public website. No account.

Uptime history 9 days of history · worst day 44%
9 days agonow
98.9%
Uptime 24h
91 of 92 checks
11
Tools
read from the server
248 ms
Response time
average over 24h
open, no key
Access
streamable-http

OperStack does not always answer

Over the last week it answered 71.5% of our checks. We check every 15 minutes, so you hear about the next outage within the hour — not from your users.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 3 min ago.

run in your terminal
claude mcp add operstack --transport http https://oper-stack.com/api/mcp/
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "operstack": {
      "url": "https://oper-stack.com/api/mcp/"
    }
  }
}
~/.codex/config.toml
[mcp_servers.operstack]
url = "https://oper-stack.com/api/mcp/"
.cursor/mcp.json
{
  "mcpServers": {
    "operstack": {
      "url": "https://oper-stack.com/api/mcp/"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "operstack": {
      "url": "https://oper-stack.com/api/mcp/"
    }
  }
}

Available tools 11

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

audit
audit_site
Scores any public site out of 100 on the five things an answer engine needs before it will quote a page: whether AI crawlers are allowed in, whether there is a map for agents (llms.txt), whether the entity is clear from schema, whether there is anything quotable, and whether pages carry dates and sources. Use it when someone asks whether ChatGPT or another assistant can read and quote a site. Reads up to 10 public pages. A site that turns away automated readers cannot be scored.
compare
compare_sites
Runs the same AI-visibility scoring on two to four sites and returns them side by side, so a score means something. Use it to see where a site is losing answers to a rival, area by area. A site that turns away automated readers is reported as unreadable.
counter
check_counter_installed
Looks at a site page and says whether the OperStack visit counter line is really there, including the case where it is there carrying a different key. Use it when a counter reports nothing and the owner does not know why.
fix
fix_of_the_week
OperStack Watch subscribers, with their key. The fix of the week from the last Watch email: the buyer question it answers, who ChatGPT named instead, what to change, and the text to put on the site, word for word as in the email.
llms
check_llms_txt
Reads a site llms.txt, the file that tells an assistant which pages matter, and follows its links to see whether they still lead anywhere. Use it when someone asks about llms.txt or whether their map for AI assistants works.
questions
my_questions
OperStack Watch subscribers, with their key. Shows the 10 buyer questions Watch asks ChatGPT and Perplexity every week. Can also replace one question (number and new text) or all ten. Only change questions when the person asked for it. Changes apply from the next weekly check, and history starts again for a changed question.
rival
check_rival
OperStack Watch subscribers, with their key. Scores a competitor site out of 100 on the same rules as the OperStack free check and the Watch email, and puts it next to the subscriber's own score from the last weekly check.
visibility
my_visibility
OperStack Watch subscribers, with their key. Whether ChatGPT (and Perplexity, when it answered) named the subscriber in answers to their 10 buyer questions at the last weekly check, the trend week by week, and the share of answers against the competitors named. The same numbers as that week's Watch email.
visits
ai_visits
Reports how many visits each AI assistant sent to a site that runs the free OperStack counter. Needs the private token from the counter link, which only the site owner has. Returns visit counts per assistant, not individual visitors.
what
what_changed
OperStack Watch subscribers, with their key. What moved between the last two weekly checks: how many answers named the subscriber in ChatGPT and Perplexity, the share of answers against each competitor, and the buyer questions where they were named or dropped.
who
who_instead
OperStack Watch subscribers, with their key. For each of the 10 buyer questions at the last weekly check: whether ChatGPT (and Perplexity) named the subscriber, and which businesses they named instead. Then the sites these answers were built from and where to get mentioned.

Endpoints

URLTransportStateLatencyChecked
https://oper-stack.com/api/mcp/ streamable-http answering 394 ms 3 min ago

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OperStack — questions

Answers built from our own checks of this server.

What can OperStack do?
It exposes 11 tools, read directly from the server on our last check. Among them: ai_visits, audit_site, check_counter_installed, check_llms_txt, check_rival, compare_sites and 5 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 →
Is OperStack working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 92 checks got a reply (98.9%), average response time 248 ms. The bar chart above shows every period we have measured.
How do I connect OperStack?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does OperStack need an API key?
No. OperStack completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 11 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is OperStack?
It answers our handshake in 248 ms on average, which is faster than 52% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.