MCP server
Imagine AI Benchmark
ai.useimagine/benchmark
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
LinkedIn content benchmark for 900+ B2B companies and their teams, with an open scoring method.
Working at last checkVerified publisher: useimagine.aiAbout 1,422 tokens per request once connected5 tools
https://benchmark.useimagine.ai/api/mcp
At a glance
- Type
- MCP server
- Publisher
- useimagine.ai (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 5
- Token cost
- About 1,422 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http benchmark https://benchmark.useimagine.ai/api/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.benchmark] url = "https://benchmark.useimagine.ai/api/mcp"
Gemini CLI
{"mcpServers":{"benchmark":{"httpUrl":"https://benchmark.useimagine.ai/api/mcp"}}}
Cursor
{"mcpServers":{"benchmark":{"url":"https://benchmark.useimagine.ai/api/mcp"}}}
VS Code
{"servers":{"benchmark":{"type":"http","url":"https://benchmark.useimagine.ai/api/mcp"}}}
Antigravity
agy mcp add benchmark https://benchmark.useimagine.ai/api/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"benchmark","server_url":"https://benchmark.useimagine.ai/api/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"benchmark","server_url":"https://benchmark.useimagine.ai/api/mcp"}
Tools
category_breakdown~324 tokens
Post counts and engagement per content category (product update, hiring, personal story, industry insight, ...) for companies or people.company_fit_summary~359 tokens
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, tindustry_landscape~437 tokens
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 baselilist_companies~224 tokens
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.methodology~78 tokens
Imagine AI research rules (log-normal engagement, geometric means, research baseline 49/77/130). Call once before interpreting any numbers.
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