feat: facet querying API and integrated MCP server #32
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Add a new ephemeral API resource for retrieving distinct field values with counts from audit logs. This enables UI features like autocomplete suggestions and faceted search filters. Key changes: - Add AuditLogFacetsQuery and AuditLogFacetsQueryList types - Add shared FacetSpec, FacetResult, and FacetValue types - Implement ClickHouse storage for facet aggregation queries - Split types.go into separate files for maintainability
Add a Model Context Protocol server that exposes audit log query tools for AI assistants like Claude Desktop. The server communicates via stdio and uses the Activity API through a Kubernetes client. Available tools: - query_audit_logs: Search audit logs with CEL filters - get_audit_log_facets: Get distinct values for audit log fields
scotwells
requested review from
JoseSzycho,
OscarLlamas6,
cc-datum,
ecv,
kevwilliams and
zachsmith1
ecv
approved these changes
Feb 5, 2026
scotwells
added a commit
that referenced
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Feb 5, 2026
This PR updates the AuditLogQuery and AuditLogFacetsQuery endpoints to
support the NOT operator (`!`) so users can execute filters like
`!user.username.startsWith("system:")`. It also grants users access to
query for audit log facets.
Follow up to #32
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This introduces a new AuditLogFacetsQuery API for retrieving field values based on a time range / filter supplied. This helps power a drop down menu with options based on what values are actually present in the audit logs over the requested time period and filter.
I also added a new MCP server that can be used by AI tools to query for audit logs and audit log facets. The MCP server tools are available in a library so they can be embedded into the Datum MCP server.
Part of datum-cloud/enhancements#469