Coralogix

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This Model Context Protocol (MCP) server provides a `coralogix_query` tool, empowering AI agents to programmatically interact with Coralogix logs. It facilitates searching, filtering, and aggregating log data, supporting both the expressive Lucene and the powerful DataPrime query languages. This integration streamlines AI-driven analysis and automation of log monitoring and insights within AI agent workflows.

Características Principales

• Exposes a `coralogix_query` tool for AI agents to access Coralogix logs.
• Supports both Lucene and DataPrime query syntaxes for flexible log searching and aggregation.
• Allows specification of custom start and end dates for log queries.
• Enables limiting the maximum number of results returned from a query.
• Provides detailed error handling for issues such as invalid API keys or query parameters.
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Casos de Uso

• Automatically retrieve recent error logs to identify system failures or anomalies.
• Search for specific text or patterns within historical log data across defined timeframes.
• Perform aggregations on logs, such as counting events by application or severity level.