Opensentry MCP
The OpenSentry MCP server is a read-only model context protocol service used to connect to the OpenSentry security command center, enabling AI assistants to query camera status, detection alerts with location data, video records, and system health information.
rating : 2 points
downloads : 6.5K
What is the OpenSentry MCP Server?
The OpenSentry MCP Server is a connection bridge that links your intelligent security system (OpenSentry Command Center) with AI assistants. It enables you to query and manage your security devices through natural language conversations without logging in to a complex background interface.How to use the OpenSentry MCP Server?
You need to install and configure the server first, and then configure the connection in your preferred AI assistant (such as Claude Desktop or OpenCode). After the configuration is complete, you can directly ask questions to the AI, for example, 'What abnormal alerts were there today?' or 'Are all my cameras working properly?' The AI will obtain information through this server and answer you.Applicable scenarios
Suitable for security monitoring in homes or small office spaces. When you're away from home, you can quickly check the situation at home; when you need to review monitoring records for a specific period, you don't need to manually browse through the videos; or if you want to analyze which areas have the most frequent activity to optimize the camera layout.Main features
Camera management
View the list of all cameras, their real-time status, and online/offline status, and obtain links to real-time video streams.
Intelligent alert query
Query alerts such as motion detection, face recognition, and object detection, including precise location coordinate information (the AI can understand 'the motion occurred in the upper right corner of the frame').
Activity analysis
Generate a heat map of motion hotspots to show the areas with the most frequent activity; provide an activity timeline to analyze the detection frequency at different time periods.
Video recordings and snapshots
Browse available video files and snapshot images, and filter by camera and time.
System monitoring
Check the system health status, view current configuration settings, and access audit logs (administrator privileges are required).
Advantages
Natural language interaction: Query security information through conversations without having to learn a complex interface.
Location-aware alerts: The AI can understand the specific location where an alert occurred (such as 'the left side of the frame' or 'the central area').
Intelligent analysis: Provide advanced analysis functions such as heat maps and timelines.
Easy integration: Support mainstream AI assistants (Claude, OpenCode, etc.).
Read-only security: The server can only query information and cannot modify settings, ensuring system security.
Limitations
Requires technical configuration: Initial installation and configuration require a certain amount of technical knowledge.
Depends on the OpenSentry system: You must already have an operational OpenSentry Command Center.
Requires administrator privileges: Some functions require an administrator account for the Command Center.
Read-only operation: You cannot control cameras or modify system settings through this server.
Network requirements: The server needs to have access to the network of the OpenSentry system.
How to use
Installation preparation
Ensure that you have installed Python 3.10+ and the uv package manager, and that you have an operational OpenSentry Command Center system.
Download and installation
Clone the project repository and install the dependencies.
Configure the connection
Set the connection information (URL, username, password) for the OpenSentry system.
Configure the AI assistant
Configure the MCP server connection in your AI assistant (such as Claude Desktop or OpenCode).
Start using
Start the AI assistant, and now you can query your security system through natural language.
Usage examples
Daily security check
Check the security situation of the previous night every morning to quickly find out if there was any abnormal activity.
Remote monitoring when away
Keep track of the situation at home or the office at any time when traveling or working away.
Activity pattern analysis
Analyze which time periods or areas have the most frequent activity to optimize the security layout or understand daily patterns.
Event investigation
Quickly query video recordings and alerts for a specific time period when a suspicious event occurs.
Frequently asked questions
What kind of OpenSentry system do I need to use this MCP server?
Is this server secure? Will it allow hackers to control my cameras?
On which AI assistants can I use this server?
If my OpenSentry system is on a local network, but the AI assistant is in the cloud, will it still work?
What is a motion hotspot heat map? What is it used for?
What should I do if I encounter the 'uv command not found' error during installation?
Related resources
GitHub repository
Project source code, latest version, and issue tracking
OpenSentry official website
Official information and documentation for the OpenSentry intelligent security system
Model Context Protocol (MCP) documentation
Official documentation and specifications for the MCP protocol
Claude Desktop MCP configuration guide
How to configure the MCP server in Claude Desktop
OpenCode configuration documentation
Configuration method for the MCP server in OpenCode

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