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Summary
Drive Kustomer (modern customer service CRM, Meta-owned) from any AI agent: conversations, messages, customers, notes, custom objects. 10 tools, Bearer auth.
Prueba a pedir
Prompts de ejemplo para Kustomer
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 → Kustomer, pega tus credenciales, genera una MCP API key — listo. Sin Docker, sin
git clone, sin servidor local.
Kustomer + Gemini
Drive Kustomer (modern customer service CRM, Meta-owned) from any AI agent: conversations, messages, customers, notes, custom objects. 10 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:
KUSTOMER_API_KEY, KUSTOMER_SUBDOMAIN
Paso 1 — Obtener credenciales
kustomer.com).
Setup:
- Sign in to Kustomer → top-right avatar → Settings → Security → API Keys → Add API Key.
- Pick role: org.permission.customer.read+write, org.permission.conversation.read+write, etc.
- Set
KUSTOMER_API_KEY. - Note your org subdomain (e.g.
acmeforacme.kustomerapp.com). SetKUSTOMER_SUBDOMAIN.
Authentication: Authorization: Bearer ${KUSTOMER_API_KEY}.
Subdomain-templated URL: https://${KUSTOMER_SUBDOMAIN}.api.kustomerapp.com/v1.
Customer-centric model: Kustomer's selling point is the unified customer timeline. A customer has multiple emails/phones/social handles; conversations roll up under the customer.
…(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 —Kustomerdebería 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 |
|---|---|
kustomer_get_current_tracking_id | Return the org / org details — sanity check for API key validity |
kustomer_search_customers | Search customers via the v1 search endpoint (Kustomer's Lucene-style query) |
kustomer_get_customer | Fetch a customer by ID |
kustomer_create_customer | Create a customer |
kustomer_search_conversations | Search conversations |
kustomer_get_conversation | Fetch a conversation by ID |
kustomer_update_conversation | Update a conversation — change status (open/snoozed/done), assignee, queue, priority, tags |
kustomer_add_note_to_conversation | Add an internal note (private — not sent to customer) |
kustomer_create_outbound_message | Send a public message in a conversation (email/SMS/chat reply) |
kustomer_list_users | List org users (agents) |
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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