Collimer

by sandcastlelabs

375 downloads
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GitHub Website

About

MCP server for Collimer — run a free AI-search visibility scan (ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews) from any agent. npx collimer-mcp

Details

Author
sandcastlelabs
Downloads
375
Categories
AI

- Exposes the collimer_scan(domain, email?) tool.
- Returns an AI-visibility score (0–100) and confidence interval.
- Identifies the single biggest visibility gap.
- Provides a branded report URL for the full report.
- Runs on-demand via npx – no install step needed.
- Configurable environment variables for API and polling settings.

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name Collimer
    Command (node, npx, python, etc.)

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

From the repository

Add Collimer to any MCP client by configuring the server with npx -y collimer-mcp. Then ask your assistant to run the collimer_scan tool with a domain (and optionally an email) to receive a teaser result.

collimer_scan

Run a free Collimer scan on a website to measure how visible its brand is in AI search — ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews. Returns an AI-visibility score (0–100), a confidence interval, the single biggest gap, and a branded report URL. The full ranked fix plan + verification re-scan unlock with a free account on the web. Tip: after the site makes changes, re-run the scan to measure the delta.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "collimer": {
            "collimer": {
                "command": "npx",
                "args": [
                    "-y",
                    "collimer-mcp"
                ]
            }
        }
    }
}

McpServers

{
    "collimer": {
        "command": "npx",
        "args": [
            "-y",
            "collimer-mcp"
        ]
    }
}

collimer-mcp

npm · MIT · Model Context Protocol

Let any AI agent run a free AI-search visibility scan on any website — how visible a brand is in ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews.

Trackers tell you you're invisible. Collimer tells you why, and what to fix.

It exposes one tool, collimer_scan, which returns a depth-gated teaser: an AI-visibility score (0–100), a confidence interval, the single biggest gap, and a branded report URL. The full report — share of voice across every engine + every recommendation — unlocks with a free account at collimer.com.

Install

Add Collimer to any MCP client. It runs on-demand via npx — no install step.

Claude Desktop / Claude Code — add to your MCP config (claude_desktop_config.json, or .mcp.json in your project):

{
  "mcpServers": {
    "collimer": {
      "command": "npx",
      "args": ["-y", "collimer-mcp"]
    }
  }
}

Cursor / Windsurf / VS Code — same block, in the editor's MCP settings (~/.cursor/mcp.json, Windsurf MCP settings, or .vscode/mcp.json).

Then ask your assistant:

> "How visible is stripe.com in AI search?"
> "Run a Collimer scan on example.com and tell me the biggest AI-visibility gap."
> "Does ChatGPT cite acme.com when asked about its category?"

Your assistant will call collimer_scan and return the teaser.

The tool

collimer_scan(domain, email?)

| Arg | | |
|---|---|---|
| domain | required | The website to scan — example.com or https://example.com. |
| email | optional | Emails the report and speeds claiming the account later. |

Returns the teaser — score, confidence interval, top gap, report URL, and an unlock link. It never returns the full report; that's gated behind a free account.

Configuration (env)

| Var | Default | Purpose |
|---|---|---|
| COLLIMER_API_BASE | https://app.collimer.com | API base URL |
| COLLIMER_SCAN_SOURCE | mcp | Funnel-attribution channel (set per distribution) |
| COLLIMER_MAX_POLLS | 60 | Max poll attempts |
| COLLIMER_POLL_INTERVAL_MS | 5000 | Poll interval |
| COLLIMER_REQUEST_TIMEOUT_MS | 30000 | Per-request timeout |

What is Collimer?

Collimer measures and improves how often AI answer engines cite your brand — generative engine optimization (GEO), the AI-search successor to SEO. This MCP server is the free front door: scan any site from inside your assistant, see the score and the biggest gap, then open the full report and start tracking at collimer.com. API docs: app.collimer.com/docs.

Privacy

The server calls Collimer's public scan API for the domain you pass and returns the result. It doesn't read your files or your conversation. Scans carry a source tag (default mcp) so we can see which channels are useful — no personal data beyond the optional email you provide.

Develop

npm install
npm run build          # → dist/
npm run smoke          # real scan against prod, prints the teaser
npm run test:protocol  # spawns the server + calls the tool over MCP/stdio

License

MIT © Sandcastle Labs

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