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Imagine AI Benchmark

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

Connector by useimagine.ai · Domain verified by the MCP Registry

IndexedLicense unknownRemote (HTTP)
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Install

Works with Claude Code, VS Code, Cursor, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install connector/useimagine-ai-benchmark

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

Remote endpoint

  • https://benchmark.useimagine.ai/api/mcp Remote (HTTP)

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About

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

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this server can do and what it asks for, from its tool list and install config. Checked Oct 25, 2026.

Tools
5 read · 0 write · 0 deleteRead-only
Secrets
1 (API keys, tokens or passwords)
Install scripts
Nothing to install (hosted)
Runs as
Hosted (remote endpoint)

Tools by what they do 5

From the running server's own tool list (tools/list) on Oct 25, 2026.

Read 5 · Look things up without changing anything.

  • category_breakdown
  • company_fit_summary
  • industry_landscape
  • list_companies
  • methodology

Secrets and settings it asks for

Secrets: values you paste in that let it act as you.

  • Authorization

Network hosts it talks to 1

  • benchmark.useimagine.ai · found in remote endpoint, install command

Files it touches

  • Any path the agent passes to its tools

Tools (5)

As the server listed them on Oct 25, 2026. Descriptions are the server’s own words; hidden characters are shown as [U+…].

  • category_breakdownCategory (post type) breakdownread-only

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

  • company_fit_summaryOne company, the research wayread-only

    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 …

  • industry_landscapeIndustry landscaperead-only

    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".

  • list_companiesList tracked companiesread-only

    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.

  • methodologyHow to read benchmark numbersread-only

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

Signals

Last release
Oct 10, 2026 (18 days ago)

Details

Registry name
ai.useimagine/benchmark
Version
0.1.0
Auth
Bearer token
License
License unknown
First seen
Oct 24, 2026
Last checked
Oct 24, 2026
Cite this page

Imagine AI Benchmark MCP server. Agent Mart. https://agentmart.dev/connectors/useimagine-ai-benchmark (last updated 2026-10-24)