MCP server that enables AI Agents to use images and events from Safie camera devices
Overview
What is Safie API MCP Server?
Safie API MCP Server is a server that enables AI agents to utilize images and events from Safie camera devices, allowing for efficient data retrieval and device management.
How to use Safie API MCP Server?
To use the Safie API MCP Server, you can either run it using Python with uv or through Docker. You need to set up the necessary environment variables such as ACCESS_TOKEN or API_KEY for authentication.
Key features of Safie API MCP Server?
- Retrieve a list of devices connected to Safie.
- Obtain images from specified devices.
- Access media recorded by devices.
- Get the current GPS location of devices.
- Fetch the latest thumbnail from devices.
- List standard event information from devices.
Use cases of Safie API MCP Server?
- Monitoring and managing multiple Safie camera devices.
- Integrating Safie camera data into AI applications for analysis.
- Automating the retrieval of images and events for security purposes.
FAQ from Safie API MCP Server?
- What programming language is used for Safie API MCP Server?
The server is built using Python 3.10+.
- Is there a cost associated with using Safie API MCP Server?
The server is open-source and available under the MIT license, making it free to use.
- What are the requirements to run Safie API MCP Server?
You need Python 3.10+ and either uv or Docker to run the server.