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OpenObserve MCP Server
Open source observability platform MCP server that connects AI agents to logs, metrics, traces, and real user monitoring data. Enables natural language queries instead of SQL or PromQL, automated alert creation and stream management, and AI-powered analysis for error pattern detection and latency spike diagnosis. Unifies all observability data into a single conversational interface. 140x lower storage costs than alternatives. Open source. Created by OpenObserve.
MCP unverified
Integration
| Transport | http |
| Auth | api-key |
| Endpoint | openobserve-mcp |
Use Cases
| 01 | Query logs, metrics, and traces in natural language through AI agents connected to OpenObserve instead of writing SQL or PromQL queries manually |
| 02 | Automate observability operations by letting AI agents create alerts, manage streams, and debug performance issues through conversational MCP interactions |
| 03 | Detect error patterns, explain latency spikes, and correlate logs with traces automatically using AI-powered analysis through OpenObserve's MCP server |
Tags
observability logs metrics traces monitoring open-source alerting infrastructure
Machine-readable: /api/servers.json
· JSON-LD schema embedded in <head>