Jaeger MCP
Analyze distributed traces with AI via MCP. Query Jaeger traces, investigate latency, visualize service dependencies, and debug microservices.
What is Jaeger MCP?
Jaeger MCP connects AI to Jaeger, the CNCF distributed tracing platform. Jaeger helps track requests as they flow through microservices, identifying latency bottlenecks and error propagation paths.
Trace Analysis Intelligence
AI models can query traces by service, operation, or duration, analyze critical paths, identify slow spans, and help developers understand complex distributed system behavior through conversational interactions.
Configuration
{"mcpServers":{"jaeger":{"command":"npx","args":["jaeger-mcp"],"env":{"JAEGER_QUERY_URL":"http://localhost:16686"}}}}Use Cases
Jaeger MCP serves microservices teams debugging distributed latency, SREs investigating request failures across services, and organizations needing AI-assisted distributed trace analysis.
Key Features
- Query and analyze distributed traces
- Investigate latency across service calls
- Visualize service dependency graphs
- Compare trace performance over time
- Identify bottleneck services
- Monitor span error rates
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