No install? Use cloud.anythingmcp.com directly.
Sign in, install the Kustomer in one click, paste the credentials, mint an MCP API key — done. No Docker, no git clone, no local server to run.
TL;DR
Drive Kustomer (modern customer service CRM, Meta-owned) from any AI agent: conversations, messages, customers, notes, custom objects. 10 tools, Bearer auth.
💡 Niente installazione? Vai direttamente su cloud.anythingmcp.com. Accedi, clicca Connectors → Kustomer, inserisci le credenziali, genera una MCP API key — fatto. Niente Docker, niente
git clone, niente server locale.
Kustomer + Gemini
Drive Kustomer (modern customer service CRM, Meta-owned) from any AI agent: conversations, messages, customers, notes, custom objects. 10 tools, Bearer auth.
Prerequisiti
Le istruzioni di setup complete sono incluse nel connettore stesso (visibili nello store quando lo selezioni). Le variabili d'ambiente richieste sono:
KUSTOMER_API_KEY, KUSTOMER_SUBDOMAIN
Step 1 — Ottieni le credenziali
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)
Step 2 — Installa l'adapter
git clone https://github.com/HelpCode-ai/anythingmcp.git
cd anythingmcp && docker compose up -d
Step 3 — Aggiungi il connettore in Gemini
Gemini CLI legge i server MCP da ~/.gemini/settings.json (o %APPDATA%\gemini\settings.json su Windows). Aggiungi:
{
"mcpServers": {
"anythingmcp": {
"httpUrl": "https://cloud.anythingmcp.com/mcp",
"headers": { "Authorization": "Bearer YOUR_MCP_API_KEY" }
}
}
}
- Ottieni la tua MCP API key da AnythingMCP → Profilo → MCP API Keys → Nuova Key.
- Salva il file e riavvia
gemini. - Esegui
/mcpnella Gemini CLI —Kustomerdovrebbe essere elencato come disponibile. - Vertex AI Studio: passa
https://cloud.anythingmcp.com/mcpnell'arraytoolsdella richiesta con lo stesso header Bearer.
Tool disponibili
| 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 supportano MCP? Sì — Gemini CLI ≥ 0.4 e la Vertex AI tools API accettano connettori MCP httpUrl con header Bearer.
Prossimi passi
Questa guida ti è stata utile?