跳过安装。2 分钟内即可运行。
在 cloud.anythingmcp.com 开始免费试用，一键添加 Propstack，然后将你的 AI 客户端（Claude、ChatGPT、Copilot 或 Cursor）指向生成的 MCP 端点。无需 Docker，无需 git clone，无需任何工程经验。
Summary
Propstack — the CRM German estate agents run on: properties, contacts, enquiries, activities, projects and saved searches. REST API v1, API-key auth.
试试这样问
Propstack 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 → Propstack、粘贴凭证、生成 MCP API key — 完成。无 Docker、无
git clone、无本地服务器。
Propstack + Gemini
Propstack — the CRM German estate agents run on: properties, contacts, enquiries, activities, projects and saved searches. REST API v1, API-key auth.
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:
PROPSTACK_API_KEY
步骤 1 — 获取凭证
Getting a key
- Sign in to Propstack as an administrator and open Einstellungen → API.
- Generate an API-Key and put it in
PROPSTACK_API_KEY. The key is account-wide and carries the permissions of the account it belongs to — treat it as a password, because whoever holds it can read the whole customer base.
The key travels in an X-API-KEY header. No Bearer, no query parameter.
…(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
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",
"headers": { "Authorization": "Bearer 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—Propstack应显示为可用。 - Vertex AI Studio: 将
https://cloud.anythingmcp.com/mcp传入请求的tools数组,使用相同的 Bearer 头。
可用工具
| Tool | What it does |
|---|---|
propstack_list_properties | List property listings with their address, price, living area, room count, marketing type and status |
propstack_get_property | Read one property listing in full: full address, all price and area fields, the description texts, images, documents and the assigned broker |
propstack_list_contacts | List contacts — buyers, sellers, landlords and tenants — with their name, e-mail, phone and the client source they came from |
propstack_get_contact | Read one contact in full: contact details, search profile, the properties they are linked to and their consent flags |
propstack_list_enquiries | List enquiries (Anfragen) — a person asking about a specific listing — with their date, source, status and the property and contact involved |
propstack_list_activities | List activities — calls, viewings, e-mails and notes logged against a contact or a property |
propstack_list_projects | List projects — the developments several units belong to — with their name, address and the number of units in each |
propstack_list_brokers | List the brokers (users) in the account with their name, e-mail and the office they belong to, to resolve who owns a listing or a contact |
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 Bearer 头的 MCP httpUrl 连接器。
下一步
这份指南对你有帮助吗?
