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Summary
Drive SavvyCal (modern team scheduling) from any AI agent: scheduling links, meetings, availability. 6 tools, API-key Bearer auth.
Prueba a pedir
Prompts de ejemplo para SavvyCal
Haz clic en un prompt para copiarlo. Pégalo en Claude, ChatGPT, Cursor, Gemini, Copilot u OpenClaw para ejecutarlo contra este conector.
Claude es IA y puede equivocarse. Verifica siempre las respuestas.
💡 ¿Sin instalación? Usa cloud.anythingmcp.com directamente. Inicia sesión, pulsa Connectors → SavvyCal, pega tus credenciales, genera una MCP API key — listo. Sin Docker, sin
git clone, sin servidor local.
SavvyCal + Gemini
Drive SavvyCal (modern team scheduling) from any AI agent: scheduling links, meetings, availability. 6 tools, API-key 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:
SAVVYCAL_API_KEY
Paso 1 — Obtener credenciales
savvycal.com).
Setup:
- Sign in to https://savvycal.com → top-right avatar → Developer → API Keys → Create new key.
- Set
SAVVYCAL_API_KEY.
Authentication: Authorization: Bearer ${SAVVYCAL_API_KEY}.
Resource model:
- Link: a scheduling link template (
/me/intro-call). - Booking: a scheduled meeting via a link.
- Calendar: connected calendar source (Google/Outlook).
Pagination: cursor — response has meta.next_cursor.
Out of scope here: workflows automation editing, payments via Stripe, team round-robin config (UI-only).
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 —SavvyCaldebería 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 |
|---|---|
savvycal_me | Return the user the token belongs to |
savvycal_list_links | List scheduling links |
savvycal_get_link | Fetch a scheduling link by ID with full details |
savvycal_list_meetings | List meetings (bookings) |
savvycal_get_meeting | Fetch a meeting by ID with invitee details, cancellation URL, reschedule URL |
savvycal_cancel_meeting | Cancel a scheduled meeting |
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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