OpenTelemetry MCP
Manage observability pipelines with AI via MCP. Configure OpenTelemetry collectors, manage exporters, and analyze telemetry data.
What is OpenTelemetry MCP?
OpenTelemetry MCP integrates OpenTelemetry's observability framework with AI through MCP. OpenTelemetry (OTel) is the CNCF standard for generating, collecting, and exporting telemetry data (traces, metrics, logs).
Observability Pipeline Intelligence
AI models can help configure complex Collector pipelines, optimize sampling strategies, troubleshoot data flow issues, and manage the growing complexity of observability infrastructure.
Configuration
{"mcpServers":{"opentelemetry":{"command":"npx","args":["opentelemetry-mcp"],"env":{"OTEL_COLLECTOR_URL":"http://localhost:4317"}}}}Use Cases
OpenTelemetry MCP serves platform teams managing observability infrastructure, organizations standardizing on OTel, and teams needing AI-assisted telemetry pipeline configuration and optimization.
Key Features
- Configure OpenTelemetry Collector pipelines
- Manage receivers, processors, and exporters
- Monitor collector health and throughput
- Analyze telemetry data quality
- Configure sampling strategies
- Manage instrumentation configurations
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