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Imagine AI Benchmark

by FastDrop

MCP Verified 8 hours ago Registry import free

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

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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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Tools this endpoint exposes

Read directly from the endpoint on 10 Oct 2026. Not supplied by the maker.

  • 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_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 score = median of its 5 most active fitted pe

  • 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

  • methodology

    Imagine AI research rules (log-normal engagement, geometric means, research baseline 49/77/130). Call once before interpreting any numbers.

  • category_breakdown

    Post counts and engagement per content category (product update, hiring, personal story, industry insight, ...) for companies or people.

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Matched on shared tags and the tools their MCP servers actually expose.

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