Installation überspringen. In unter 2 Minuten einsatzbereit.
Starte eine kostenlose Testphase auf cloud.anythingmcp.com, füge Mautic mit einem Klick hinzu und richte deinen KI-Client (Claude, ChatGPT, Copilot oder Cursor) auf den erzeugten MCP-Endpoint. Kein Docker, kein git clone, keinerlei Entwicklungserfahrung nötig.
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.
Frag einfach
Beispiel-Prompts für Mautic
Klick auf einen Prompt, um ihn zu kopieren. In Claude, ChatGPT, Cursor, Gemini, Copilot oder OpenClaw einfügen — und gegen diesen Connector laufen lassen.
Claude ist KI und kann Fehler machen. Bitte Antworten gegenprüfen.
💡 Keine Installation? Nutze cloud.anythingmcp.com direkt. Einloggen, Connectors → Mautic klicken, Zugangsdaten einfügen, MCP-API-Key erzeugen — fertig. Kein Docker, kein
git clone, kein lokaler Server.
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.
Voraussetzungen
Die vollständige Setup-Anleitung ist in den Connector eingebaut (im Store sichtbar, wenn du den Connector auswählst). Benötigte Umgebungsvariablen für diesen Connector:
MAUTIC_URL, MAUTIC_USERNAME, MAUTIC_PASSWORD
Schritt 1 — Zugangsdaten holen
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)
Schritt 2 — Adapter installieren
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
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 —Mauticsollte 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 |
|---|---|
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
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
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