mcp

What you can do with it

• Check how often AI assistants mention and cite your brand, per engine, over a chosen period
• Compare your share of voice and sentiment against tracked competitors
• Get ranked recommendations and see which sources and answers sit behind them

Ways a business could use it

• Track whether AI assistants recommend your business or a competitor, and adjust your content to improve it
• Pull AI visibility figures into client reports as an answer engine optimisation service, without logging into a separate dashboard

Can you use it commercially?

Free to use, change and sell, including in paid products. Keep the copyright notice.

Not legal advice. Read the project's licence file before building a product on it.

claude mcp add mcp -- npx -y @aimentiontracker/mcp

It needs AMT_API_KEY (a secret key). A key usually means a paid or sign-up service behind it, so check its pricing.

From the official MCP Registry (ai.aimentiontracker/mcp). Only connect MCP servers you trust: they can act on your behalf.

Getting it running

Add the hosted server to your MCP client with one command and an API key, or run it locally through npx with the key set as an environment variable.

Follow the official instructions in the project README.

Things to check

• Needs an account and API key for the paid AI Mention Tracker service; the server is only a client for it
• Read-only, so you cannot add prompts or change tracking from the tool
• New project with no stars yet