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Imagine AI Benchmark MCP Server

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Imagine AI Benchmark is listed as active in the registry but did not answer our last check. It exposes 5 tools.

LinkedIn content benchmark for 900+ B2B companies and their teams, with an open scoring method.

Uptime history 29 days of history · worst day 0%
29 days agonow
0.0%
Uptime 24h
0 of 91 checks
5
Tools
read from the server
95 ms
Response time
average over 24h
open, no key
Access
streamable-http

What changed 4

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 18 October 2026. No other catalogue keeps this.

18 Oct 2 tool descriptions were rewritten company_fit_summary, industry_landscape
18 Oct 2 tools changed the parameters they ask for industry_landscape, list_companies

Imagine AI Benchmark does not always answer

Over the last week it answered 0.0% 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 12 min ago.

run in your terminal
claude mcp add benchmark --transport http https://benchmark.useimagine.ai/api/mcp
Settings → Connectors → Add custom connector, then paste this address
https://benchmark.useimagine.ai/api/mcp
~/.codex/config.toml
[mcp_servers.benchmark]
url = "https://benchmark.useimagine.ai/api/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "benchmark": {
      "url": "https://benchmark.useimagine.ai/api/mcp"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "benchmark": {
      "type": "http",
      "url": "https://benchmark.useimagine.ai/api/mcp"
    }
  }
}

Available tools 5

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

category
category_breakdown
Post counts and engagement per content category (product update, hiring, personal story, industry insight, ...) for companies or people.
companies
list_companies
List companies in the benchmark catalog (customers, competitors, industry peers). Filter by name substring, industry, or tracking. Returns ids you pass to every other tool.
company
company_fit_summary
A company's page fit plus the distribution of its people's geometric means (median, baseline band), top people and who is under the 18-post floor. Company typical post = median over up to 5 counted fitted people plus the company page: founders, CEO and C-suite who posted in the last 90 days first, then the most active fitted people (by original posts in that window). With exactly one fitted account (a person or the page) the company ranks on that account's own fit, flagged "1 account"; it is held back while teammates still await their history pull. people.counted / countedPersonIds say who is in. Use for 'how is X doing on LinkedIn'.
industry
industry_landscape
Every account in an industry (or a custom company set): per-company rollup (page fit + people median over the 5 most active fitted people (peopleCounted), preliminary = "Few posts" under 40 team posts, solo = "1 account" when one fitted account carries the company), population vs the research baseline, and category lift with the author effect removed (which post types beat each author's own typical post). Public callers get bands and pooled lifts, the same as Discover. Use for "what works in fintech" or "where does X sit in its market".
methodology
methodology
Imagine AI research rules (log-normal engagement, geometric means, research baseline 49/77/130). Call once before interpreting any numbers.

Endpoints

URLTransportStateLatencyChecked
https://benchmark.useimagine.ai/api/mcp streamable-http answering 95 ms 12 min ago

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Imagine AI Benchmark — questions

Answers built from our own checks of this server.

What can Imagine AI Benchmark do?
It exposes 5 tools, read directly from the server on our last check. Among them: category_breakdown, company_fit_summary, industry_landscape, list_companies, methodology. 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 Imagine AI Benchmark working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 0 of 91 checks got a reply (0.0%), average response time 95 ms. The bar chart above shows every period we have measured.
The registry lists Imagine AI Benchmark as active — why does it not respond?
The official MCP registry stores what the author submitted; it does not verify that the server still runs. We check the endpoint ourselves, and this one does not answer. Catalogues that copy the registry without checking will show it as working.
How do I connect Imagine AI Benchmark?
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 Imagine AI Benchmark need an API key?
No. Imagine AI Benchmark completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 5 of them are readable on this page. This is what we observed, not what the docs claim.