About Collimer
Collimer's retired npm package directs users to its remote MCP server for AI-search visibility work. The server supports scanning and auditing brand visibility, reviewing recommendations, drafting work for human approval, and checking outcomes.
Key features
- 01AI-search visibility scans and audits
- 02Brand recommendations by plan priority
- 03Drafts for human review
- 04Verification of shipped work
- 05Brand onboarding with confirmation
Use cases
- 01Auditing a brand's visibility in AI search
- 02Prioritizing and drafting recommended work
- 03Checking whether published changes improved visibility
MCP support
The npm package is retired; use the remote MCP server at `https://app.collimer.com/mcp`. It exposes tools for scanning, recommendations, drafts, verification, and brand onboarding, with OAuth 2.1 sign-in.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://app.collimer.com/mcpclaude mcp add --transport http collimer https://app.collimer.com/mcp{"mcpServers":{"collimer":{"type":"http","url":"https://app.collimer.com/mcp"}}}Open in Cursor{"servers":{"collimer":{"type":"http","url":"https://app.collimer.com/mcp"}}}Open in VS Code{"mcpServers":{"collimer":{"type":"http","url":"https://app.collimer.com/mcp"}}}{"mcpServers":{"collimer":{"serverUrl":"https://app.collimer.com/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
1| Parameter | Type | Required | Description |
|---|---|---|---|
| domain | string | Yes | The website to scan, e.g. 'example.com' or 'https://example.com'. |
| string | No | Optional — emails the report and speeds claiming the account later. |
Details
From the project READMEcollimer-mcp
⚠️ Retired — switch to the remote server
Collimer is a remote MCP server at
https://app.collimer.com/mcp.
Use the remote server instead
Claude Code
claude mcp add --transport http collimer https://app.collimer.com/mcp
Claude Desktop — Settings → Connectors → Add custom connector, with the URL
https://app.collimer.com/mcp.
Cursor / VS Code / Windsurf / any client that supports remote MCP — in the
client's MCP config (~/.cursor/mcp.json, .vscode/mcp.json, .mcp.json):
{
"mcpServers": {
"collimer": {
"type": "http",
"url": "https://app.collimer.com/mcp"
}
}
}
There are no keys to paste. The server speaks OAuth 2.1 with dynamic client registration and PKCE, so your client discovers the endpoints and prompts you to sign in the first time you connect. A free account is enough to connect.
What the remote server does
The remote server exposes the work loop:
- Scan and audit a brand's AI-search visibility across ChatGPT, Claude, Gemini, Perplexity and Google AI Overviews, and read the finished report.
- Find the work — open recommendations for a brand in plan-priority order.
- Do the work — turn a recommendation into a draft for a human to review. It never publishes on its own.
- Verify the work — check whether what shipped actually landed and moved the score.
- Onboard a brand end to end, with proposed brand context a person confirms.
If you already have this package installed
Every call fails with a message naming the remote endpoint. Nothing is wrong on
your side and there is no version to upgrade to — remove the collimer stdio
entry from your MCP config and add the remote server above.
// remove this
{ "collimer": { "command": "npx", "args": ["-y", "collimer-mcp"] } }
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. Trackers tell you you're invisible. Collimer gets you cited.
Privacy
The remote server acts on the Collimer account you sign in with. This retired package sent only the domain you passed and an optional email, and read neither your files nor your conversation.
License
MIT © Sandcastle Labs
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.