opentelemetry-mcp-server
Installation
SKILL.md
OpenTelemetry MCP Server
Skill by ara.so — MCP Skills collection.
A Model Context Protocol (MCP) server that enables AI assistants to query and analyze OpenTelemetry traces across multiple backends (Jaeger, Grafana Tempo, Traceloop). Specialized for LLM observability with support for token tracking, error debugging, and performance analysis.
What This Project Does
The OpenTelemetry MCP Server provides tools for:
- Trace Search: Query distributed traces with advanced filtering
- Span Analysis: Deep-dive into individual operations
- LLM Observability: Track token usage, model performance, and costs
- Error Detection: Find and analyze failed requests
- Performance Monitoring: Identify slow operations and bottlenecks
Supports multiple backends: Jaeger, Grafana Tempo, and Traceloop cloud.