KitScout

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Imagine AI Benchmark

MCP serverVerified domain · useimagine.aiRemote● LiveFree to try

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

Install

Remote server: your requests and data go to benchmark.useimagine.ai. Claude Code: claude mcp add --transport http imagine-ai-benchmark https://benchmark.useimagine.ai/api/mcp · Claude app: Settings → Connectors → Add custom connector.

What it can do

The tools this server listed when we connected to it, in its own words.

  • list_companies — List companies in the benchmark catalog (customers, competitors, industry peers). Filter by name substring, industry, or tracking. Returns i
  • 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
  • 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 (p
  • 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.

KitScout test notes

Not tested by KitScout yet. When our harness runs it, pros, cons and the tasks we tried appear here, with the date and evidence.

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