No install? Use cloud.anythingmcp.com directly.
Sign in, install the Vercel Analytics in one click, paste the credentials, mint an MCP API key — done. No Docker, no git clone, no local server to run.
TL;DR
Read Vercel Analytics / Speed Insights / Audience data via the Vercel API. 4 tools, Bearer auth.
💡 Keine Installation? Nutze cloud.anythingmcp.com direkt. Einloggen, Connectors → Vercel Analytics klicken, Zugangsdaten einfügen, MCP-API-Key erzeugen — fertig. Kein Docker, kein
git clone, kein lokaler Server.
Vercel Analytics + Gemini
Read Vercel Analytics / Speed Insights / Audience data via the Vercel API. 4 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:
VERCEL_ACCESS_TOKEN
Schritt 1 — Zugangsdaten holen
com/docs/rest-api).
Setup:
- Sign in to https://vercel.com → top-right avatar → Settings → Tokens → Create Token.
- Pick scope (account-level or team-level). Set
VERCEL_ACCESS_TOKEN. - For team-scoped queries also set
VERCEL_TEAM_ID(visible in Team Settings).
Authentication: Authorization: Bearer ${VERCEL_ACCESS_TOKEN}.
Note: Vercel's Web Analytics + Speed Insights data endpoints went through major changes in 2024-2025. Some endpoints are paywall/plan-gated. The adapter uses the stable public endpoints; some analytics queries require Pro+ plan.
Pagination: cursor-based via until Unix ms (return items older than this).
…(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
geminineu starten. /mcpin Gemini CLI ausführen —Vercel Analyticssollte als verfügbar gelistet sein.- Vertex AI Studio:
https://cloud.anythingmcp.com/mcpimtools-Array der Anfrage mit demselben Bearer-Header übergeben.
Verfügbare Tools
| Tool | What it does |
|---|---|
vercel_analytics_get_user | Return the user the token belongs to |
vercel_analytics_list_projects | List projects in the team / account |
vercel_analytics_get_deployments | List deployments for a project |
vercel_analytics_get_speed_insights | Get Speed Insights (Core Web Vitals) data for a project — requires Vercel Speed Insights enabled on the project + Pro plan |
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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