MCP CamStream Analyzer

@l1b0k

Repository

Basic information

About MCP CamStream Analyzer

mcp server

#mcp-camstream#video-analysis #image-analysis

MCP CamStream Analyzer config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp_camstream_analizer": {
      "command": "python",
      "args": [
        "main.py"
      ]
    }
  }
}

MCP CamStream Analyzer tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is MCP CamStream Analyzer?

MCP CamStream Analyzer is a tool for collecting and analyzing content from cameras and RTSP video streams. It integrates with any OpenAI-compatible API to generate descriptions and analyses of images and video frames.

How to use MCP CamStream Analyzer?

Clone the repository, install dependencies with pip install -r requirements.txt, edit the auto-generated config.yaml (especially the api_key field), and run python main.py. The service then processes camera feeds according to the configured templates and video analysis settings.

Key features of MCP CamStream Analyzer

Image analysis using customizable description templates
Video analysis with frame-by-frame or full-video mode
Support for default, USB, and RTSP camera streams
Integration with any OpenAI-compatible API
Configurable frame interval and output directory
Built-in prompt templates (default, detailed, security)

Use cases of MCP CamStream Analyzer

Security monitoring with automated abnormality detection
Detailed scene and people analysis for surveillance footage
General-purpose image or video description for accessibility
Multi-camera environment monitoring (e.g., IP cameras)
Real-time event logging from RTSP streams

Frequently asked questions

What dependencies are required?

Python packages listed in `requirements.txt` are required. The server also needs an API key for an OpenAI-compatible service.

How do I configure cameras?

The `config.yaml` file lists cameras as `default` (integer device index), `webcam1` (another device index), or `ip_camera1` (with `rtsp_url`, `buffer_size`). Modify the file to match your hardware.

What is the default video analysis mode?

The default mode is `frames`, with a `frame_interval` of 30. You can change it to full video analysis by setting `mode: entire`.

Does the server support authentication?

The README only mentions an `api_key` for the OpenAI-compatible API. No other authentication mechanisms are described.

Where is the output stored?

Analysis results are written to the directory specified in the `output_dir` field of `config.yaml` (default: `output`).

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