Imagine AI Benchmark
by FastDrop
LinkedIn content benchmark for 900+ B2B companies and their teams, with an open scoring method.
LinkedIn content benchmark for 900+ B2B companies and their teams, with an open scoring method. Official MCP Registry: ai.useimagine/benchmark@0.1.0. Remote endpoint: https://benchmark.useimagine.ai/api/mcp
Problem it solves
Discoverable MCP server listed in the official MCP Registry.
How it's different
Remote MCP endpoint ingested from the official registry and probed by FastDrop.
Ingested from the official MCP Registry
FastDrop pulled this entry from the official MCP Registry as ai.useimagine/benchmark and probed the endpoint. The maker did not submit it, so the outbound link is not endorsed
and the description is not theirs.
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Read directly from the endpoint on 10 Oct 2026. Not supplied by the maker.
list_companiesList 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_fit_summaryA 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 score = median of its 5 most active fitted pe
industry_landscapeEvery 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
methodologyImagine AI research rules (log-normal engagement, geometric means, research baseline 49/77/130). Call once before interpreting any numbers.
category_breakdownPost counts and engagement per content category (product update, hiring, personal story, industry insight, ...) for companies or people.
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