@aimentiontracker/mcp

MCP serverAI & models

Lets your agent check how often ChatGPT, Claude, Gemini and Perplexity mention your brand, with evidence.

Needs your own @aimentiontracker/mcp account. You sign in to it and approve access when you connect.

Connect your AI Use it in a pipeline

Then ask your AI: use @aimentiontracker/mcp

Details

Available today. Use it as a step in a pipeline you build, or from your connected AI.

Add it as a step in a pipeline you build on Ahel, or connect Ahel to Claude, ChatGPT, Cursor, Claude Code or Codex and ask your AI to use it.

About this server

How often ChatGPT, Claude, Gemini and Perplexity name and cite your brand, with the evidence.

Install @aimentiontracker/mcp

The server’s own address, for the clients that take one directly. Or connect Ahel once and every client you use reads it from one address, with the account kept on Ahel rather than in each client’s config.

Claude Code
claude mcp add --transport http --scope user aimentiontracker-mcp 'https://mcp.aimentiontracker.ai/mcp'
Run it once in your project, then open /mcp to approve any sign-in the server asks for.
Claude Desktop
https://mcp.aimentiontracker.ai/mcp
Add a custom connector in Settings, paste this address, and approve the sign-in.
Cursor
cursor://anysphere.cursor-deeplink/mcp/install?name=aimentiontracker-mcp&config=eyJ1cmwiOiJodHRwczovL21jcC5haW1lbnRpb250cmFja2VyLmFpL21jcCJ9
Open the link and Cursor adds the server at that address.
ChatGPT
https://mcp.aimentiontracker.ai/mcp
In Settings, enable Developer mode, create an MCP app, and paste this address. Your plan and workspace must allow custom apps.
Codex
codex mcp add aimentiontracker-mcp --url 'https://mcp.aimentiontracker.ai/mcp'
Run it once, then sign in with codex mcp login aimentiontracker-mcp if the server asks for an account.

From the project's README

As published by aimentiontracker/mcp in README.md.

MCP server for AIMentionTracker: how often AI assistants name and cite your brand.

Hosted (no install)

claude mcp add --transport http aimentiontracker https://mcp.aimentiontracker.ai \
  --header "Authorization: Bearer amt_live_YOUR_KEY"

Local (stdio)

claude mcp add aimentiontracker -e AMT_API_KEY=amt_live_... -- npx -y @aimentiontracker/mcp

Create a key at app.aimentiontracker.ai/api-keys.

Tools

All read-only. v1 has no write endpoints, deliberately: adding a prompt expands a metered bill and triggering a run spends real vendor money.

Tool	What it answers
`get_me`	Who this key is, the plan, and the reporting thresholds. Call first.
`list_brands`	Which brands this key can read, and their ids
`get_visibility`	Presence per engine and per brand over a window
`list_answers`	The stored answers, with mentions and citations
`list_sources`	Domains the engines read before answering
`list_alerts`	Findings worth acting on

Three rules the tools enforce

A null rate means "not enough answers yet", never zero. Rendering it as 0% reports a collapse that did not happen.
Engines are never averaged. They disagree; a mean describes no real surface.
An empty findings list does not mean nothing changed. list_alerts says so in the payload, not just the description.

Security

The hosted server holds no secrets. No database, no vendor credentials, no service account. Your key arrives in the Authorization header and is passed straight through to the API, which does all authentication, tenancy, entitlement and rate limiting. Each request gets a fresh, stateless server instance that is closed when the response ends.

MIT.

Signals

Last commit: Sep 2026
Weekly downloads: 328
Weekly_downloads: 143 weekly_downloads

Advanced

Delivery: AIMentionTracker MCP server → your Ahel connector (mcp.ahel.ai) → your AI.
Item type: mcp-server
Key: ai-aimentiontracker-mcp
Source: github.com/aimentiontracker/mcp
Hosted endpoint: https://mcp.aimentiontracker.ai/mcp

github.com/aimentiontracker/mcp

More in AI & models

context7
MCP server · upstash
More in AI & models AdButler
MCP server · adbutler
More in AI & models atom-mcp-server
MCP server · a7om-ai
More in AI & models ottasia
MCP server · aiweather-anurag
More in AI & models Currents
MCP server · currents-dev
More in AI & models unphurl
MCP server · 123ergo
More in AI & models