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Why this server?
Allows querying New Relic logs and metrics using NRQL queries, helpful for monitoring HAProxy stats and server health.
Why this server?
Facilitates converting HTTP APIs into MCP tools. Useful for connecting the Flask dashboard and potentially exposing the ML model as an API.
Why this server?
Provides a read/write SQL interface for managing logs and other data, which could be used for storing historical traffic patterns or server health data.
Why this server?
Offers read-only access to MySQL databases. Could be useful if logs or traffic data are stored in MySQL.
Why this server?
Provides a SQL interface (via SQLAlchemy) to interact with various databases potentially storing traffic data or server health information.
Why this server?
Enables dynamic function (tool) registration and execution. Useful for exposing the ML model's traffic prediction functionality as a tool.
Why this server?
Allows running SQL queries against data available in AWS Glue, useful if traffic data is stored in AWS data lakes.
Why this server?
While focused on security, it demonstrates MCP integration with Microsoft Security Copilot which might be adaptable to monitoring CloudWatch metrics (although a direct CloudWatch MCP server would be better).
Why this server?
Allows executing bash commands, which could be used for automating certain tasks on EC2 instances (though security needs careful consideration).
Why this server?
Enables read-only SQL queries against a PostgreSQL database, which may be used to store data from HAProxy and the ML model.