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.
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Highlight AIRecommended first call when a request names no service or tool. It returns environments, signal counts, firing alerts, and the current time.
Returns the current time and absolute bounds for specified timeframes in any IANA zone or common abbreviation.
Returns a ranked summary of service performance metrics including request count, throughput, and error counts.
Fetches available environments for the specified services, necessary for other APM tools.
Provides detailed performance metrics for a service, including throughput, error rates, and response times.
Retrieves server-side exceptions filtered by service and span name.
Discovers all databases across your infrastructure, including type, host, throughput, and error rate.
Returns the slowest query executions ordered by duration, including trace IDs for deeper investigation.
Fetches query patterns and aggregates, such as frequency and average duration.
Allows for full JSON pipeline log queries with various filters and response modes.
Retrieves log lines for a specific service, filterable by severity and body content.
Lists deployments, configuration changes, and rollbacks within a specified timeframe.
Compares service performance before and after a change to determine impact.
Fetches currently firing alerts within a given time window.
Creates a new alert rule in an existing alert group, starting as a draft.
Replaces the entire configuration of an existing alert rule.
Permanently deletes an alert rule from the system.
Returns all custom dashboards in your organization.
Creates a new custom dashboard with specified panels and metadata.
Replaces an existing dashboard's structure with new data.
Permanently deletes a custom dashboard from the system.
Retrieves services that have profiling data available in a specified time window.
Returns a nested flamegraph tree for a specified service, visualizing CPU or memory usage.
Provides a ranking of the hottest functions for a given service based on profiling data.
Searches Grafana dashboards by title substring and returns a list of matching dashboards.
