blueiris-mcp

blueiris-mcp

MCP server for Blue Iris NVR, enabling camera health checks, live/historical snapshots, clip/alert search, and PTZ control via the Blue Iris JSON API.

Category
访问服务器

README

blueiris-mcp

An MCP server for Blue Iris, the Windows NVR/camera-management software. Lets an LLM check camera health, pull live or historical snapshots, search the clip/alert archive, and drive PTZ cameras — all through Blue Iris's existing JSON API, no extra software on the Blue Iris box required.

Blue Iris's JSON API is undocumented enough that its session-handshake auth scheme (a custom two-step MD5 challenge, not a bearer token or HTTP digest) has to be reverse-engineered by reading network traffic. This package does that once so you don't have to.

Why

Blue Iris already has a web UI and a JSON API, but neither is something an LLM agent can use directly. This wraps the API as MCP tools so an agent can answer questions like:

  • "Is the front door camera actually seeing anything right now, or is it stuck on the no-signal placeholder?"
  • "Show me what the driveway camera saw at 6pm yesterday."
  • "Who showed up at the front door today?" (Blue Iris's own AI recognition results are in the alert log's memo field, e.g. "John:74%")
  • "Pan the workshop camera left for a second and grab a frame."

Tools

Tool Description
list_cameras Configured cameras with live health: is_no_signal (the actual "no video" placeholder state, distinct from is_online), fps, error, ptz_capable.
get_snapshot Live or historical JPEG frame (pos_ms = Unix epoch ms for historical). Returned as image content, not a file path.
list_clips Recorded segments for a camera, newest first, across Blue Iris's full retention window for that camera.
list_alerts Motion/AI alerts for a camera, newest first, including Blue Iris's own recognition memo when present.
ptz Directional nudge, home, zoom in/out, stop, or jump to a saved preset.

Setup

Requires a Blue Iris account with JSON API access (the same username/password as the web UI login).

pip install blueiris-mcp
# or: uvx blueiris-mcp

Configure via environment variables:

Variable Required Default
BI_URL no http://localhost:81
BI_USER yes —
BI_PASSWORD yes —

Claude Code / Claude Desktop (~/.claude.json or claude_desktop_config.json)

{
  "mcpServers": {
    "blueiris": {
      "command": "uvx",
      "args": ["blueiris-mcp"],
      "env": {
        "BI_URL": "http://192.168.1.50:81",
        "BI_USER": "your-username",
        "BI_PASSWORD": "your-password"
      }
    }
  }
}

Hermes (~/.hermes/config.yaml)

Hermes' mcp_servers config supports the same stdio transport:

mcp_servers:
  blueiris:
    command: uvx
    args: ["blueiris-mcp"]
    env:
      BI_URL: "http://192.168.1.50:81"
      BI_USER: "your-username"
      BI_PASSWORD: "your-password"

Notes on the Blue Iris API

  • Auth: POST /json {"cmd":"login"} returns a session token. Then POST /json {"cmd":"login","session":<id>,"response":<hash>} where hash = md5(f"{user}:{session}:{password}") — a single MD5 pass, no realm string. This client re-authenticates on every call rather than caching a session, since call volume through an MCP tool is inherently low.
  • list_clips/list_alerts (Blue Iris's cliplist/alertlist commands) have no date-range parameters — they return everything currently retained on disk for that camera. Retention is whatever Blue Iris is configured to keep (commonly a few days to a couple of weeks, storage-dependent).
  • If your setup has another process also driving a camera's PTZ (e.g. an automated monitoring script), avoid sending PTZ commands to that camera at the same time from here — Blue Iris does not arbitrate between simultaneous PTZ sources, and the result is erratic movement.

Development

uv venv && uv pip install -e ".[dev]"
uv run pytest

Tests are fully mocked (via respx) — no live Blue Iris instance needed.

License

MIT

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选