jaeger-mcp
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Related Servers
- AlicenseNot gradedqualityCmaintenanceEnables to interact with Jaeger distributed tracing system through the MCP protocol. Supports querying traces, services, and operations via natural language.79 npm18MIT
- AlicenseBqualityCmaintenanceEnables querying and analyzing distributed traces from Jaeger, including service discovery, trace inspection, and performance analysis, through MCP tools.72Apache 2.0
- FlicenseNot gradedqualityDmaintenanceRead-only MCP server for querying Jaeger environments from Codex, returning compact, sanitized trace summaries to protect sensitive data.-
- AlicenseAqualityDmaintenanceMCP server that gives AI agents access to your application's OpenTelemetry traces for querying, analysis, and debugging.516 npm2MIT
- AlicenseNot gradedqualityBmaintenanceProvides Claude and other AI agents with read-only, guardrailed access to Pinpoint APM data, enabling production debugging through traces, metrics, transactions, and service topology.Apache 2.0
- AlicenseAqualityAmaintenanceConnects AI assistants to OpenTelemetry trace backends such as Jaeger, Tempo, Traceloop, and Datadog, enabling natural-language searching of traces and spans, error discovery, and service listing. It also provides LLM-specific analytics, including token usage aggregation, model performance comparison, and identification of the most expensive or slowest traces.1979 PyPIApache 2.0
TDQS
Scored across 15 tools
Several tools have overlapping purposes. jaeger_search_traces and jaeger_find_test_traces both search traces with tag filters, and jaeger_compare_windows, jaeger_detect_anomalies, and jaeger_regression_diff all compare two time windows to identify performance changes, making it easy for an agent to select the wrong one. The differences between these are subtle and not clearly delineated.
All tools share the jaeger_ prefix and use snake_case, but the naming pattern is inconsistent: some are verb_noun (list_services, search_traces) while others are noun_phrase (span_statistics, critical_path, test_profile). This mixed convention is readable but lacks the predictability of a uniform verb_noun scheme.
15 tools is at the upper boundary of a well-scoped set, but the advanced analytics tools (predict_degradation, forecast_capacity, detect_anomalies) expand the server's capability beyond basic tracing. The count is reasonable, though some tools could be merged without losing functionality.
The core Jaeger read operations are fully covered: service discovery, operation listing, trace search, trace detail, and dependency graph. Advanced analytics like comparisons, anomaly detection, and predictions provide extra depth, leaving few obvious gaps for a tracing-focused server.