INDIVIDUAL MCP TOOL

methodology

Imagine AI research rules (log-normal engagement, geometric means, research baseline 49/77/130).

useimagine.ainone authenticationAvailability not checked

LIVE ENDPOINT

https://benchmark.useimagine.ai/api/mcp

No auth detected

Connect to this endpoint to inspect the live schema for methodology and invoke it with your own arguments.

{}

Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

CONNECT WITH APPROVAL

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.imagine-benchmark]
url = "https://benchmark.useimagine.ai/api/mcp"
enabled = true

Claude Code

.mcp.json

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

Claude Desktop

Settings → Connectors → Add custom connector

Name: imagine-benchmark
Remote MCP URL: https://benchmark.useimagine.ai/api/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

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

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

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

Generic MCP

Client-specific MCP configuration

{
  "name": "imagine-benchmark",
  "transport": "streamable-http",
  "url": "https://benchmark.useimagine.ai/api/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

list_companies — List companies in the benchmark catalog (customers, competitors, industry peers).
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.
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, and category lift with the author effect removed (which post types beat each author's own typical post).
category_breakdown — Post counts and engagement per content category (product update, hiring, personal story, industry insight, .