Imagine AI Benchmark

ai.useimaginev0.1.0Updated Oct 10, 2026

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

VerifiedStreamable HTTPWeb executableBusiness & CommerceData & Analytics

Overview

AI-generated overview

Remote MCP server that gives an assistant LinkedIn content benchmark data for 900+ B2B companies and their teams.

What it does
It exposes an open scoring method and benchmark data covering more than 900 B2B companies and their teams on LinkedIn. Public aggregate tools work without credentials, while post-level data requires a workspace agent key. The manifest does not list individual tool names.
When to use it
Useful when comparing a company's or team's LinkedIn content performance against peers, or when an assistant needs benchmark context for B2B social content decisions. Not needed if you only want general social media advice.
Requirements
A remote streamable HTTP endpoint at benchmark.useimagine.ai; no local runtime or package install. Public aggregate tools need no authentication. Post-level data needs an Authorization header carrying a Bearer workspace agent key. Network access required.
Before you install
The optional Authorization header carries a workspace agent key; treat it as a secret and avoid exposing it in shared logs or prompts. The server is third-party hosted, so requests and any data you send go to that provider. No write, payment, or wallet actions are described.

Installation

In SourceWeft

  1. Open Imagine AI Benchmark in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Other MCP clients

Add this to your client's mcpServers config.

{
  "mcpServers": {
    "benchmark": {
      "type": "http",
      "url": "https://benchmark.useimagine.ai/api/mcp"
    }
  }
}

Tools

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Version history

1
  1. v0.1.0LatestOct 10, 2026