Sáltate la instalación. Funcionando en menos de 2 minutos.
Inicia una prueba gratuita en cloud.anythingmcp.com, añade Mautic con un clic y apunta tu cliente de IA (Claude, ChatGPT, Copilot o Cursor) al endpoint MCP generado. Sin Docker, sin git clone, sin experiencia de desarrollo.
Summary
Mautic open-source marketing automation: contacts and their activity, segments, campaigns, e-mails with their send statistics, forms and form submissions. REST API, Basic auth against your own instance.
Prueba a pedir
Prompts de ejemplo para Mautic
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 → Mautic, pega tus credenciales, genera una MCP API key — listo. Sin Docker, sin
git clone, sin servidor local.
Mautic + Gemini
Mautic open-source marketing automation: contacts and their activity, segments, campaigns, e-mails with their send statistics, forms and form submissions. REST API, Basic auth against your own instance.
Requisitos previos
Las instrucciones de configuración completas están incluidas en el conector (visibles en el store al seleccionarlo). Las variables de entorno requeridas:
MAUTIC_URL, MAUTIC_USERNAME, MAUTIC_PASSWORD
Paso 1 — Obtener credenciales
Turn the API on first. Mautic ships with it disabled.
- As an administrator go to Settings → Configuration → API Settings and set API enabled to Yes, and Enable HTTP basic auth to Yes.
- Create a Mautic user for the integration with a role that grants view permissions on contacts, segments, campaigns and e-mails.
- Set
MAUTIC_URLto your instance root (no trailing slash), plusMAUTIC_USERNAMEandMAUTIC_PASSWORD. The adapter appends/api.
…(continued in the in-app connector instructions)
Paso 2 — Instalar el adapter
curl -fsSL https://raw.githubusercontent.com/HelpCode-ai/anythingmcp/main/docker-compose.quickstart.yml -o docker-compose.yml
printf 'JWT_SECRET=%s\nENCRYPTION_KEY=%s\n' "$(openssl rand -hex 32)" "$(openssl rand -hex 32)" > .env
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 —Mauticdebería 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 |
|---|---|
mautic_list_contacts | List contacts with their e-mail, name, company, points and stage |
mautic_get_contact | Read one contact in full: every field, their points, the segments and campaigns they belong to, and their owner |
mautic_get_contact_activity | Read one contact's activity timeline: page hits, e-mail opens and clicks, form submissions and campaign steps, in order |
mautic_list_segments | List segments with their name, alias and the number of contacts in each |
mautic_list_segment_contacts | List the contacts in one segment — who would actually receive a send to that segment |
mautic_list_campaigns | List campaigns with their name, description, publish status and the number of contacts in each |
mautic_list_emails | List e-mails with their subject, type, publish status and send statistics — sent count, read count and the resulting read rate |
mautic_get_email | Read one e-mail in full: its subject, from address, HTML body, the segments it targets and its send and read counts |
mautic_list_forms | List forms with their name, alias, publish status and submission count — the capture points feeding the contact base |
mautic_list_form_submissions | List the submissions of one form with their date, IP, referrer and the field values submitted — the raw leads |
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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