Fathom Analytics mit Gemini verbinden — über MCP

Read Fathom Analytics (privacy-friendly web analytics) from any AI agent: aggregations, pageviews, events, sites, custom domains. 6 tools, Bearer auth.

HCBy HelpCode teamUpdated 20. Mai 20262 min read Open source on GitHub

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No install? Use cloud.anythingmcp.com directly.

Sign in, install the Fathom Analytics in one click, paste the credentials, mint an MCP API key — done. No Docker, no git clone, no local server to run.

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TL;DR

Read Fathom Analytics (privacy-friendly web analytics) from any AI agent: aggregations, pageviews, events, sites, custom domains. 6 tools, Bearer auth.

💡 Keine Installation? Nutze cloud.anythingmcp.com direkt. Einloggen, Connectors → Fathom Analytics klicken, Zugangsdaten einfügen, MCP-API-Key erzeugen — fertig. Kein Docker, kein git clone, kein lokaler Server.

Fathom Analytics + Gemini

Read Fathom Analytics (privacy-friendly web analytics) from any AI agent: aggregations, pageviews, events, sites, custom domains. 6 tools, Bearer auth.

Voraussetzungen

Die vollständige Setup-Anleitung ist in den Connector eingebaut (im Store sichtbar, wenn du den Connector auswählst). Benötigte Umgebungsvariablen für diesen Connector:

FATHOM_API_TOKEN

Schritt 1 — Zugangsdaten holen

com/api).

Setup:

Sign in to https://app.usefathom.com → top-right avatar → Account → API Keys → Generate a new API key.
Pick scopes: at minimum 'sites:read' + 'aggregations:read'.
Set FATHOM_API_TOKEN.

Authentication: Authorization: Bearer ${FATHOM_API_TOKEN}.

Aggregations API: the most useful — flexible querying like Stripe Sigma. Pass entity, entity_id, aggregates, date_grouping, filters, etc. Returns rows of data.

…(continued in the in-app connector instructions)

Schritt 2 — Adapter installieren

git clone https://github.com/HelpCode-ai/anythingmcp.git
cd anythingmcp && docker compose up -d

Schritt 3 — Connector in Gemini hinzufügen

Gemini CLI liest MCP-Server aus ~/.gemini/settings.json (oder %APPDATA%\gemini\settings.json unter Windows). Hinzufügen:

{
  "mcpServers": {
    "anythingmcp": {
      "httpUrl": "https://cloud.anythingmcp.com/mcp",
      "headers": { "Authorization": "Bearer YOUR_MCP_API_KEY" }
    }
  }
}

Hole deinen MCP API Key aus AnythingMCP → Profil → MCP API Keys → Neuer Key.
Speichern und gemini neu starten.
/mcp in Gemini CLI ausführen — Fathom Analytics sollte als verfügbar gelistet sein.
Vertex AI Studio: https://cloud.anythingmcp.com/mcp im tools-Array der Anfrage mit demselben Bearer-Header übergeben.

Verfügbare Tools

Tool	What it does
`fathom_current_user`	Return account info: id, name, email
`fathom_list_sites`	List Fathom sites tracked
`fathom_list_events`	List events (conversion goals) for a site
`fathom_aggregations`	Run an aggregation query — Fathom's main analytics endpoint
`fathom_current_visitors`	Get the current number of visitors on a site (real-time)
`fathom_create_event`	Create a new event (conversion goal) for a site

FAQ

Unterstützen Gemini 1.5 Pro oder 2.x MCP? Ja — Gemini CLI ≥ 0.4 und die Vertex AI Tools API akzeptieren MCP httpUrl-Connectors mit Bearer-Header.

Nächste Schritte

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Fathom Analytics mit Gemini verbinden — über MCP