MCP server
MCP server v2
A new MCP server version with a cleaner, AI-agent–optimized experience. To opt in, send the mcp-version: v2 header — see Setup. v1 is deprecated and will be removed.
- Sharper tool set — shorter tool descriptions and token-optimized outputs.
- Improved field discovery — semantic field search by description, plus value search through the new search-by-value API (
$d/$l/$mDataPrime paths). - Better schema and metric discovery — refreshed
get_schemas,search_metrics, andget_metric_details. - Stricter input validation — fewer silent failures and clearer errors.
Eleven new management tools across alerting, metrics, SLOs, TCO, Notification Center, and access control
New unified manage_* tools that let you create, read, update, and delete configurations across more of the Coralogix platform from your AI agent:
- Alerting —
manage_alerts_scheduler(alert suppression rules) andmanage_webhooks(outbound webhooks). - Metrics —
manage_recording_rules_groups_set(recording rules) andmanage_events2metrics(Events2Metrics). - SLOs —
manage_slo_v2s. - TCO Optimizer —
manage_tco_log_policiesandmanage_tco_trace_policies. - Notification Center —
manage_connectors,manage_presets, andmanage_global_routers. - Access control —
manage_custom_roles.
See the full list in the MCP tools overview.
Alerts and parsing rules management
Alerts management via MCP — Create, read, update, and delete alerts across 12 alert types from your AI coding environment, and generate Terraform HCL, Kubernetes Operator YAML, and OpenAPI definitions for any alert. Learn more
Parsing rules management via MCP — Create, read, update, and delete parsing rules across 10 rule types, and generate Terraform HCL, Kubernetes Operator YAML, and OpenAPI definitions for any rule. Learn more
RUM tools for frontend and mobile monitoring
Real User Monitoring (RUM) tools for MCP Server. Query and analyze frontend and mobile application performance directly from your IDE — find top errors, track user interactions, monitor Web Vitals, and get SDK setup guidance without leaving your coding environment. Learn more
Natural language querying for observability data
Smarter AI Integrations with MCP Server — MCP Server brings natural language querying to your observability data outside Coralogix. Integrate with agents like Claude or Cursor to build intelligent, context-aware assistants powered by Coralogix data. Learn more