MCP server

OperStack Official

com.oper-stack/operstack

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

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

Website

At a glance

Type

MCP server

Publisher

oper-stack.com (verified by the MCP Registry)

Status

Working at last check

Tools

11

Token cost

About 1,734 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http operstack https://oper-stack.com/api/mcp/

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.operstack]
url = "https://oper-stack.com/api/mcp/"

Gemini CLI

{"mcpServers":{"operstack":{"httpUrl":"https://oper-stack.com/api/mcp/"}}}

Cursor

{"mcpServers":{"operstack":{"url":"https://oper-stack.com/api/mcp/"}}}

VS Code

{"servers":{"operstack":{"type":"http","url":"https://oper-stack.com/api/mcp/"}}}

Antigravity

agy mcp add operstack https://oper-stack.com/api/mcp/

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"operstack","server_url":"https://oper-stack.com/api/mcp/","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"operstack","server_url":"https://oper-stack.com/api/mcp/"}

Tools

• ai_visits ~150 tokens
  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.
• audit_site ~235 tokens
  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 so
• check_counter_installed ~142 tokens
  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.
• check_llms_txt ~113 tokens
  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.
• check_rival ~151 tokens
  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.
• compare_sites ~161 tokens
  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.
• fix_of_the_week ~125 tokens
  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.
• my_questions ~242 tokens
  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 aga
• my_visibility ~146 tokens
  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
• what_changed ~133 tokens
  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_instead ~136 tokens
  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.

Browse

• Perplexity tools
• Web scraping
• Email
• Calling other AI models

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