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.
💡 ¿Sin instalación? Usa cloud.anythingmcp.com directamente. Inicia sesión, pulsa Connectors → Vercel Analytics, pega tus credenciales, genera una MCP API key — listo. Sin Docker, sin
git clone, sin servidor local.
Vercel Analytics + Gemini
Read Vercel Analytics / Speed Insights / Audience data via the Vercel API. 4 tools, Bearer auth.
Requisitos previos
Las instrucciones de configuración completas están incluidas en el conector (visibles en el store al seleccionarlo). Las variables de entorno requeridas:
VERCEL_ACCESS_TOKEN
Paso 1 — Obtener credenciales
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)
Paso 2 — Instalar el adapter
git clone https://github.com/HelpCode-ai/anythingmcp.git
cd anythingmcp && docker compose up -d
Paso 3 — Añadir el conector en Gemini
Gemini CLI lee servidores MCP desde ~/.gemini/settings.json (o %APPDATA%\gemini\settings.json en Windows). Añade:
{
"mcpServers": {
"anythingmcp": {
"httpUrl": "https://cloud.anythingmcp.com/mcp",
"headers": { "Authorization": "Bearer YOUR_MCP_API_KEY" }
}
}
}
- Obtén tu MCP API key desde AnythingMCP → Perfil → MCP API Keys → Nueva Key.
- Guarda el archivo y reinicia
gemini. - Ejecuta
/mcpen la Gemini CLI —Vercel Analyticsdebería aparecer como disponible. - Vertex AI Studio: pasa
https://cloud.anythingmcp.com/mcpal arraytoolsde tu petición con el mismo header Bearer.
Herramientas disponibles
| 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
¿Gemini 1.5 Pro o 2.x soportan MCP? Sí — Gemini CLI ≥ 0.4 y la API de tools de Vertex AI aceptan conectores MCP httpUrl con header Bearer.
Siguientes pasos
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