Suzieq MCP
The SuzieQ MCP server provides network status query tools for language models and interacts with SuzieQ network observation instances through the REST API.
rating : 2.5 points
downloads : 17
What is the SuzieQ MCP Server?
This is a bridge service that connects AI language models and the SuzieQ network monitoring system. It allows AI assistants like Claude to directly query professional network data such as network device status, interface information, and BGP routing tables as easily as querying an ordinary database.How to use this service?
Simply install this service in an AI client that supports the MCP protocol (such as Claude Desktop), and the AI will automatically gain the ability to query network data. You don't need to write any code; just provide the SuzieQ API address and key.Applicable scenarios
When network operation and maintenance teams need to quickly diagnose problems; when new employees need to understand the network topology; when generating automated reports on network status; when AI assists in analyzing network anomalies.Main features
Real-time network data queryObtain the latest network device status, routing tables, interface statistics, and other information through simple natural language instructions.
Dual query modeSupports two working modes: detailed data query (show) and aggregated statistics (summarize) to meet different analysis needs.
Flexible filteringFilter query results by multiple conditions such as device name, interface status, and VRF.
Advantages and limitations
Advantages
No need to learn the complex syntax of SuzieQ; query with natural language.
Query results are automatically formatted for easy understanding and further processing by AI.
Seamlessly integrated with AI tools such as Claude and ready to use out of the box.
Limitations
Requires pre - deployment of the SuzieQ monitoring system and configuration of API access.
Only supports the data table types available in SuzieQ.
Complex queries may require multiple interactions.
How to use
Prepare the running environment
Ensure that Python 3.8+ and the uv toolkit are installed, and create a dedicated project directory.
Install service dependencies
Install the necessary Python packages in the activated virtual environment.
Configure API connection
Create a .env file in the project directory and fill in your SuzieQ API address and key.
Integrate into Claude Desktop
Modify the Claude configuration JSON file and add the startup command and path of this service.
Usage examples
Check abnormal devicesWhen receiving a network alarm, quickly locate the problem device.
BGP neighbor diagnosisTroubleshoot BGP session interruption problems.
Interface statistics reportGenerate a monthly network interface utilization report.
Frequently Asked Questions
Why can't Claude find the MCP tool?
What if the query returns an empty result?
How to add a new query table?
Related resources
SuzieQ official documentation
A complete usage guide for the SuzieQ network monitoring system
MCP protocol specification
Technical specification description of the Model Context Protocol
Installation problem troubleshooting guide
Solutions to common installation problems
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