Last9 MCP Server enables AI agents to query exception and service graph data from Last9's observability platform. The implementation provides two tools: get_exceptions for retrieving server-side exceptions with details like type, message, and stack trace; and get_service_graph for analyzing upstream and downstream service dependencies with throughput metrics. Built with Go and featuring configurable rate limiting, the server integrates seamlessly with Claude desktop app and Cursor, making it valuable for developers who need AI-assisted troubleshooting and service dependency analysis within their Last9 monitoring environment.
Retrieves server-side exceptions over a specified time range. Parameters: limit (integer, optional), start_time_iso (string, optional), end_time_iso (string, optional), span_name (string, optional)
Gets the upstream and downstream services for a given span name, along with the throughput for each service. Parameters: span_name (string, required), lookback_minutes (integer, optional), start_time_iso (string, optional)
Gets logs filtered by optional service name and/or severity level within a specified time range. Parameters: service (string, optional), severity (string, optional), start_time_iso (string, optional), end_time_iso (string, optional), limit (integer, optional)
Gets drop rules for logs, which determine what logs get filtered out from reaching Last9.
Adds a new drop rule to filter out specific logs at Last9 Control Plane. Parameters: name (string, required), filters (array, required)
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Our bundler currently only supports TypeScript-based servers. Check back soon!