MCP server for AI agent observability, providing trace and span logging, search, latency/tokens/cost metrics, and anomaly detection using an in-memory buffer.
MCP server for querying observability data from Elasticsearch, SkyWalking, and Prometheus/VictoriaMetrics, enabling AI models to search logs, traces, and metrics across environments.
An MCP server that instruments Cursor AI agent interactions with OpenTelemetry traces and logs to monitor agent turns and performance. It enables tracking of user queries, assistant responses, and tool usage through GenAI-compliant telemetry spans.
An MCP server that enables AI assistants to query and explore your OpenObserve observability data. Provides read-only access to logs, metrics, and traces for analysis and troubleshooting.
MCP server that exposes code tracing capabilities including journey flows, HTTP seams, and findings from indexed projects, allowing AI assistants to query software architecture.