OpenTelemetry is an observability framework for cloud-native software. It provides tools, APIs, and SDKs to capture telemetry data from applications and process it for understanding their behavior and performance.
Why this server?
Enables access and analysis of OpenTelemetry traces and metrics data stored in Logfire, with tools for finding exceptions, retrieving trace information, and executing SQL queries against telemetry data.
Why this server?
Supplies documentation and configuration standards for integrating OpenTelemetry observability within agent architectures.
Why this server?
Processes traces captured with OpenTelemetry for analysis across multiple services, enabling correlation of trace spans and debugging of distributed systems.
Why this server?
Facilitates distributed tracing by automatically injecting traces into web pages, collecting UI traces, and supporting trace context propagation for backend correlation.
Why this server?
Provides mock tools that can simulate interactions with a Kubernetes cluster running OpenTelemetry Demo, useful for testing agents against realistic but static data without requiring a live cluster.
Why this server?
Provides tools to access and search OpenTelemetry documentation, allowing users to fetch documentation pages in markdown format and search for specific content about tracing, metrics, instrumentation, and SDK configuration.
Why this server?
Enables distributed tracing and metrics collection with auto-instrumentation for monitoring MCP server operations and tool executions
Why this server?
Integrates with OpenTelemetry to gather production telemetry data, enabling access to logs, metrics, and traces for AI-assisted debugging.
Why this server?
Provides built-in observability by exporting metrics and traces to OpenTelemetry-compliant backends for enhanced monitoring.