No install? Use cloud.anythingmcp.com directly.
Sign in, install the Help Scout 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 Help Scout (shared inbox + helpdesk) from any AI agent: conversations, customers, mailboxes, tags, threads. 13 tools, OAuth2 Bearer auth.
💡 Keine Installation? Nutze cloud.anythingmcp.com direkt. Einloggen, Connectors → Help Scout klicken, Zugangsdaten einfügen, MCP-API-Key erzeugen — fertig. Kein Docker, kein
git clone, kein lokaler Server.
Help Scout + Gemini
Drive Help Scout (shared inbox + helpdesk) from any AI agent: conversations, customers, mailboxes, tags, threads. 13 tools, OAuth2 Bearer auth.
Voraussetzungen
Die vollständige Setup-Anleitung ist in den Connector eingebaut (im Store sichtbar, wenn du den Connector auswählst). Benötigte Umgebungsvariablen für diesen Connector:
HELPSCOUT_ACCESS_TOKEN
Schritt 1 — Zugangsdaten holen
helpscout.com/mailbox-api).
Setup:
- Sign in to Help Scout → Manage → Apps → My Apps → Create My App.
- Pick app type:
- Personal Access Token (single-user): get a token from your profile → API Keys → Personal Access Token. Token expires after 2 days — refresh needed.
- OAuth2 App (multi-user / longer-lived): standard OAuth2 client-credentials or auth-code flow.
- Set
HELPSCOUT_ACCESS_TOKENto the access token.
Authentication: Authorization: Bearer ${HELPSCOUT_ACCESS_TOKEN}. Tokens expire — your orchestrator handles refresh.
…(continued in the in-app connector instructions)
Schritt 2 — Adapter installieren
git clone https://github.com/HelpCode-ai/anythingmcp.git
cd anythingmcp && docker compose up -d
Schritt 3 — Connector in Gemini hinzufügen
Gemini CLI liest MCP-Server aus ~/.gemini/settings.json (oder %APPDATA%\gemini\settings.json unter Windows). Hinzufügen:
{
"mcpServers": {
"anythingmcp": {
"httpUrl": "https://cloud.anythingmcp.com/mcp",
"headers": { "Authorization": "Bearer YOUR_MCP_API_KEY" }
}
}
}
- Hole deinen MCP API Key aus AnythingMCP → Profil → MCP API Keys → Neuer Key.
- Speichern und
geminineu starten. /mcpin Gemini CLI ausführen —Help Scoutsollte als verfügbar gelistet sein.- Vertex AI Studio:
https://cloud.anythingmcp.com/mcpimtools-Array der Anfrage mit demselben Bearer-Header übergeben.
Verfügbare Tools
| Tool | What it does |
|---|---|
help_scout_list_mailboxes | List mailboxes (shared inboxes) |
help_scout_list_conversations | List conversations with filters |
help_scout_get_conversation | Fetch a single conversation with full details |
help_scout_create_conversation | Create a new conversation (ticket) |
help_scout_update_conversation_status | Change conversation status (close, reopen, snooze) |
help_scout_add_reply | Add a public reply (emails the customer) to a conversation |
help_scout_add_note | Add an internal note (not visible to customer) |
help_scout_list_conversation_threads | List all threads (replies, notes, status changes) in a conversation |
help_scout_list_customers | List customers (people the business interacts with) |
help_scout_get_customer | Fetch a customer's full profile including emails[], phones[], chats[], social_profiles[], address |
help_scout_create_customer | Create a customer |
help_scout_list_tags | List tags on the account |
help_scout_list_users | List Help Scout agents |
FAQ
Unterstützen Gemini 1.5 Pro oder 2.x MCP? Ja — Gemini CLI ≥ 0.4 und die Vertex AI Tools API akzeptieren MCP httpUrl-Connectors mit Bearer-Header.
Nächste Schritte
War dieser Guide hilfreich?