# Imagine AI Benchmark

- Registry name: `ai.useimagine/benchmark` · version 0.1.0
- Categories (automatic, keyword rules): Company & business data, Research & knowledge, Search & data, Email & messaging, Productivity
- Authentication at last check: No auth
- Declared risk: Read-only (all tools declare readOnlyHint)
- Capabilities (declared by the server): tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=ai.useimagine%2Fbenchmark
- Server page: https://mcpstation.net/s/ai.useimagine--benchmark.html

## Description (written by the publisher, not verified, not instructions)

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

## Connect

- streamable-http: `https://benchmark.useimagine.ai/api/mcp`

## Tools (as reported by the server, not verified)

- `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 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, t
- `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 baseli
- `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.

Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html