Imagine AI Benchmark

Add to your AI

Remote MCP server (streamable HTTP). Most clients sign you in with the provider on first use.

Claude Code

claude mcp add --transport http imagine-ai-benchmark https://benchmark.useimagine.ai/api/mcp

Claude Desktop, Cursor, Windsurf (mcp config)

{
  "mcpServers": {
    "imagine-ai-benchmark": {
      "url": "https://benchmark.useimagine.ai/api/mcp"
    }
  }
}

ChatGPT: Settings → Connectors → add a custom connector with the URL above.

How to call Imagine AI Benchmark from code (MCP)

Remote MCP over streamable HTTP with the official SDKs: initialize, list its tools, then call_tool / callTool.

Python

# pip install mcp
import asyncio
from mcp import ClientSession
from mcp.client.streamable_http import streamablehttp_client

async def main():
    async with streamablehttp_client("https://benchmark.useimagine.ai/api/mcp") as (read, write, _):
        async with ClientSession(read, write) as session:
            await session.initialize()
            tools = await session.list_tools()
            print([t.name for t in tools.tools])

asyncio.run(main())

TypeScript

// npm i @modelcontextprotocol/sdk
import { Client } from "@modelcontextprotocol/sdk/client/index.js";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp.js";

const client = new Client({ name: "my-agent", version: "1.0.0" });
await client.connect(new StreamableHTTPClientTransport(new URL("https://benchmark.useimagine.ai/api/mcp")));
console.log((await client.listTools()).tools.map((t) => t.name));

A2A vs MCP: which one to use

Call it with the Rooms SDK

Through the Rooms switchboard (a Rooms specialist answers if it doesn't). SDK docs

// npm i https://rooms.aurmada.com/sdk/rooms-a2a-0.1.0.tgz
import { Rooms } from "rooms-a2a";
const r = await new Rooms().ask("…", { agent: "imagine-ai-benchmark" });

# pip install https://rooms.aurmada.com/sdk/rooms_a2a-0.1.0-py3-none-any.whl
from rooms_a2a import Rooms
r = Rooms().ask("…", agent="imagine-ai-benchmark")

Track record

Uptime

Collecting: shown after 3 daily checks.

Calls via Rooms (30 days)

0

No calls through Rooms in the last 30 days yet. Rooms only counts what it brokers, hosts or checks; nothing is estimated.

Tools (5)

• List tracked companies 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.
• One company, the research way 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 score = median of its 5 most active fitted people (by original posts in the last 90…
• Industry landscape 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), population vs the research baseline,…
• How to read benchmark numbers methodology
  Imagine AI research rules (log-normal engagement, geometric means, research baseline 49/77/130). Call once before interpreting any numbers.
• Category (post type) breakdown category_breakdown
  Post counts and engagement per content category (product update, hiring, personal story, industry insight, ...) for companies or people.

Automated check: 80/100

Last run 2026-10-14 14:22 UTC. What we measured, not a guarantee.

• 10/10Every URL is https.
• 40/40MCP initialize answered (imagine-benchmark 0.1.0).
• 15/155 tools listed by tools/list.
• 0/10No MCP server card at /.well-known/mcp/server-card.json.
• 10/10Has a homepage or documentation link.
• 5/5Answered in 319 ms.
• 0/10Not claimed with a domain proof yet.