摘要
Mautic 开源营销自动化：联系人及其活动、细分、营销活动、电子邮件及其发送统计、表单和表单提交。REST API，针对您自己的实例使用 Basic 身份验证。
引导式设置
2 分钟将 Mautic 连接到 Gemini
开始 AnythingMCP Cloud 免费试用，在引导式设置中连接 Mautic，再把你的 MCP URL 添加到 Gemini。无需代码，也无需自行运行服务器。
无需信用卡 · 7 天试用 · 提供自托管方案
试试这样问
Mautic 的示例提示
点击任意提示即可复制，然后粘贴到 Claude、ChatGPT、Cursor、Gemini、Copilot 或 OpenClaw 中，在该连接器上运行。
Claude 是 AI，可能会出错。请核对回答。
💡 无需安装? 直接使用 cloud.anythingmcp.com。 登录、点击 Connectors → Mautic、粘贴凭证、生成 MCP API key — 完成。无 Docker、无
git clone、无本地服务器。
Mautic + Gemini
Mautic 开源营销自动化：联系人及其活动、细分、营销活动、电子邮件及其发送统计、表单和表单提交。REST API，针对您自己的实例使用 Basic 身份验证。
前提条件
完整的设置说明已内置在连接器中 (在 store 中选择连接器时可见)。所需环境变量:
MAUTIC_URL, MAUTIC_USERNAME, MAUTIC_PASSWORD
步骤 1 — 获取凭证
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)
步骤 2 — 安装 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
步骤 3 — 在 Gemini 中添加连接器
你的服务器 URL： 在 AnythingMCP 中打开 MCP Servers → 此连接器所在的服务器，复制它的 URL（
https://cloud.anythingmcp.com/mcp/…）。本指南中出现YOUR_SERVER_ID的地方都用它替换。
Gemini CLI 从 ~/.gemini/settings.json (Windows: %APPDATA%\gemini\settings.json) 读取 MCP 服务器。添加:
{
"mcpServers": {
"anythingmcp": {
"httpUrl": "https://cloud.anythingmcp.com/mcp/YOUR_SERVER_ID",
"headers": { "X-API-Key": "YOUR_MCP_API_KEY" }
}
}
}
- 从 AnythingMCP 获取你的 MCP API key。
- 保存文件并重启
gemini。 - 在 Gemini CLI 中运行
/mcp—Mautic应显示为可用。 - Vertex AI Studio: 将
https://cloud.anythingmcp.com/mcp/YOUR_SERVER_ID传入请求的tools数组,使用相同的X-API-Key请求头。
可用工具
| 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 或 2.x 支持 MCP 吗? 支持 — Gemini CLI ≥ 0.4 与 Vertex AI tools API 均接受带自定义请求头的 MCP httpUrl 连接器。
下一步
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