Skip the install. Get this working in under 2 minutes.
Start a free trial on cloud.anythingmcp.com, add the Help Scout in one click, then point your AI client (Claude, ChatGPT, Copilot or Cursor) at the generated MCP endpoint. No Docker, no git clone, zero engineering experience required.
Summary
Drive Help Scout (shared inbox + helpdesk) from any AI agent: conversations, customers, mailboxes, tags, threads. 13 tools, OAuth2 Bearer auth.
Prueba a pedir
Prompts de ejemplo para Help Scout
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 → Help Scout, pega tus credenciales, genera una MCP API key — listo. Sin Docker, sin
git clone, sin servidor local.
Help Scout + Gemini
Drive Help Scout (shared inbox + helpdesk) from any AI agent: conversations, customers, mailboxes, tags, threads. 13 tools, OAuth2 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:
HELPSCOUT_ACCESS_TOKEN
Paso 1 — Obtener credenciales
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)
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 —Help Scoutdebería 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 |
|---|---|
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
¿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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