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Cómo conectar Crisp a Gemini — via MCP

Drive Crisp (live chat + helpdesk) from any AI agent: conversations, messages, people, tickets. 11 tools, plugin-token Basic auth + tier header.

HCBy HelpCode teamUpdated 2 min read Open source on GitHub

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MCP connector

Crisp

Drive Crisp (live chat + helpdesk) from any AI agent: conversations, messages, people, tickets. 11 tools, plugin-token Basic auth + tier header.

Tools

11

Region

INTL

Category

support

Authentication

Basic Auth

Required env vars

CRISP_PLUGIN_IDENTIFIERCRISP_PLUGIN_KEYCRISP_WEBSITE_ID
Install in one click on Cloud

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  • 7-day free trial
    No credit card required
  • GDPR & SOC 2 ready
    EU data residency, audit logs
  • Open-source on GitHub
    Source-available BSL-1.1
  • Works with ChatGPT, Claude, Gemini
    Any MCP-compatible client

No install? Use cloud.anythingmcp.com directly.

Sign in, install the Crisp in one click, paste the credentials, mint an MCP API key — done. No Docker, no git clone, no local server to run.

Open Cloud

TL;DR

Drive Crisp (live chat + helpdesk) from any AI agent: conversations, messages, people, tickets. 11 tools, plugin-token Basic auth + tier header.

💡 ¿Sin instalación? Usa cloud.anythingmcp.com directamente. Inicia sesión, pulsa Connectors → Crisp, pega tus credenciales, genera una MCP API key — listo. Sin Docker, sin git clone, sin servidor local.

Crisp + Gemini

Drive Crisp (live chat + helpdesk) from any AI agent: conversations, messages, people, tickets. 11 tools, plugin-token Basic auth + tier header.

Requisitos previos

Las instrucciones de configuración completas están incluidas en el conector (visibles en el store al seleccionarlo). Las variables de entorno requeridas:

CRISP_PLUGIN_IDENTIFIER, CRISP_PLUGIN_KEY, CRISP_WEBSITE_ID

Paso 1 — Obtener credenciales

crisp.chat/api/v1/).

Setup:

  1. Sign in to Crisp → Marketplace → Create a Plugin (the modern way for API access; the legacy User token approach is deprecated).
  2. Pick scopes: at minimum website:conversation:read, website:conversation:write, website:people:read.
  3. After creating + reviewing, you get plugin_id, plugin_identifier, plugin_key (the credentials).
  4. Install the plugin on your website (give it a website_id to act on).
  5. Set:
    • CRISP_PLUGIN_IDENTIFIER = the identifier
    • CRISP_PLUGIN_KEY = the key
    • CRISP_WEBSITE_ID = the website ID to operate on

…(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" }
    }
  }
}
  1. Obtén tu MCP API key desde AnythingMCP → Perfil → MCP API Keys → Nueva Key.
  2. Guarda el archivo y reinicia gemini.
  3. Ejecuta /mcp en la Gemini CLI — Crisp debería aparecer como disponible.
  4. Vertex AI Studio: pasa https://cloud.anythingmcp.com/mcp al array tools de tu petición con el mismo header Bearer.

Herramientas disponibles

ToolWhat it does
crisp_get_websiteGet website info (name, domain, logo)
crisp_list_conversationsList conversations with filters
crisp_get_conversationFetch a conversation by session_id with metadata + state
crisp_list_messagesList messages in a conversation
crisp_send_messageSend a message in a conversation as the operator
crisp_update_conversation_stateChange conversation state: pending, unresolved, resolved
crisp_assign_conversation_routingAssign a conversation to an operator
crisp_list_people_profilesList people (contact profiles) across the website
crisp_get_people_profileFetch a people profile by people_id (UUID) or email/phone (URL-encoded)
crisp_update_people_profileUpdate a people profile (segments, attributes, notes)
crisp_list_operatorsList operators (agents) on the website

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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