Is this server production‑ready?
No, this implementation is a preview version that only offers a limited set of features experimentally. It is not officially supported.
@SafiePublic
基本信息
MCP server that enables AI Agents to use images and events from Safie camera devices
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"safie-api-mcp-server": {
"command": "docker",
"args": [
"build",
"-t",
"safie-api-mcp-server",
"."
]
}
}
}デバイス一覧を取得します
指定されたデバイスから画像を取得します
指定されたデバイスで録画されている映像(メディア)の一覧を取得します
指定されたデバイスの現在のGPS位置情報を取得します
指定されたデバイスの最新サムネイルを取得します
指定されたデバイスの標準イベント情報一覧を取得します
An MCP (Model Context Protocol) server that uses the Safie API to retrieve device information and perform operations. It is a preview release offering experimental access to a subset of Safie device functionality.
Requires Python 3.10+ with uv or Docker. Set either the ACCESS_TOKEN environment variable (OAuth2 access token) or API_KEY (API key). Configure in Claude Desktop by adding the server to mcpServers in the client settings, using either uv run or a Docker image built from the repository.
No, this implementation is a preview version that only offers a limited set of features experimentally. It is not officially supported.
Python 3.10 or later, and either `uv` or Docker to run the server.
Set the environment variable `ACCESS_TOKEN` (OAuth2 access token) or `API_KEY` (API key). If both are set, `ACCESS_TOKEN` takes precedence.
Six tools: `list_devices`, `get_device_image`, `list_device_media`, `get_device_location`, `get_device_thumbnail`, and `list_device_standard_events`.
The server is a preview; only a subset of Safie API capabilities is exposed, and support is not provided. Data handling follows standard MCP transport (stdio) and authentication via environment variables.

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