About Imagine AI Benchmark
LinkedIn content benchmark for 900+ B2B companies and their teams, with an open scoring method
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://benchmark.useimagine.ai/api/mcpclaude mcp add --transport http ai-useimagine-benchmark https://benchmark.useimagine.ai/api/mcp{"mcpServers":{"ai-useimagine-benchmark":{"type":"http","url":"https://benchmark.useimagine.ai/api/mcp"}}}Open in Cursor{"servers":{"ai-useimagine-benchmark":{"type":"http","url":"https://benchmark.useimagine.ai/api/mcp"}}}Open in VS Code{"mcpServers":{"ai-useimagine-benchmark":{"type":"http","url":"https://benchmark.useimagine.ai/api/mcp"}}}{"mcpServers":{"ai-useimagine-benchmark":{"serverUrl":"https://benchmark.useimagine.ai/api/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
https://benchmark.useimagine.ai/api/mcpAuth requiredTools
5| Parameter | Type | Required | Description |
|---|---|---|---|
| limit | integer | No | Max rows, default 200, max 500. |
| query | string | No | Case-insensitive name substring, e.g. "rho". |
| industry | string | No | Exact industry label, e.g. "Sales & Marketing Tech", "AI Infrastructure", "Fintech". Omit to see all industries. |
| trackingOnly | boolean | No | Only companies in the scheduled scrapes (tracking_enabled). Default false. |
Details
The maintainer has not added details yet. Check the README in the repository.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.