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Summary
Drive Front (collaborative inbox) from any AI agent: conversations, messages, contacts, tags, inboxes, teammates. 13 tools, API-key Bearer auth.
Prova a chiedere
Prompt di esempio per Front
Clicca su un prompt per copiarlo. Incollalo in Claude, ChatGPT, Cursor, Gemini, Copilot o OpenClaw per eseguirlo contro questo connettore.
Claude è un'AI e può sbagliare. Verifica sempre le risposte.
💡 Niente installazione? Vai direttamente su cloud.anythingmcp.com. Accedi, clicca Connectors → Front, inserisci le credenziali, genera una MCP API key — fatto. Niente Docker, niente
git clone, niente server locale.
Front + Gemini
Drive Front (collaborative inbox) from any AI agent: conversations, messages, contacts, tags, inboxes, teammates. 13 tools, API-key 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:
FRONT_API_TOKEN
Step 1 — Ottieni le credenziali
frontapp.com/reference).
Setup:
- Sign in to Front → Settings (top-right) → Developers → API Tokens → Create API Token.
- Pick scope:
private(full-access to all inboxes/conversations) or scoped to a specific inbox/role. - Copy the token. Set
FRONT_API_TOKEN.
Authentication: Authorization: Bearer ${FRONT_API_TOKEN}.
Front's tile model:
- Conversation = a thread between your team and one or more contacts. Has status (open/archived/spam/deleted), assignee, inbox, tags.
- Message = each inbound/outbound email, SMS, chat, etc. within a conversation.
- Contact = an external entity (a customer). …
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 —Frontdovrebbe 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 |
|---|---|
front_me | Return the API token's identity (id, name, email) |
front_list_inboxes | List inboxes the token can access |
front_list_conversations | List conversations with optional filtering |
front_get_conversation | Fetch a single conversation including assignee, tags, recipient handles, links to messages/comments |
front_list_conversation_messages | List all messages in a conversation chronologically |
front_send_reply | Send a reply (new message) in an existing conversation |
front_add_comment | Add an internal comment (private note) to a conversation |
front_update_conversation | Update conversation status, assignee, or tags |
front_list_contacts | List contacts (external entities) |
front_get_contact | Fetch a contact with all handles[] (email/phone/twitter/custom) |
front_create_contact | Create a contact |
front_list_tags | List tags |
front_list_teammates | List teammates (Front users) |
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
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