Best Jaeger MCP Servers
Jaeger is an open-source, end-to-end distributed tracing system that helps monitor and troubleshoot transactions in complex, microservices-based architectures.
Why this server?
Provides Jaeger-style timeline visualization for AI pipeline traces in the web dashboard, enabling distributed tracing of AI workflow executions.
AlicenseAqualityCmaintenanceSelf-hosted webhook relay and tunnel with Noise NK encryption. Inspect requests, replay webhooks, trace AI pipelines, connect/disconnect tunnels — 13 MCP tools. No tokens or passwords needed.138AGPL 3.0Why this server?
Allows emitting OpenTelemetry traces to Jaeger via OTLP/HTTP JSON protocol, enabling visualization and analysis of distributed tracing data in Jaeger's UI.
AlicenseAqualityDmaintenanceAn MCP server that emits OpenTelemetry traces, metrics, and logs to OTLP endpoints in various formats. It includes tool-mimicry profiles to generate realistic traffic resembling common tools like nginx, postgres, and AWS Lambda for testing and demonstration purposes.11MITWhy this server?
Allows exporting OpenTelemetry traces to Jaeger for distributed tracing analysis.
AlicenseAqualityAmaintenanceOpen-source .NET framework and server for Model Context Protocol (MCP) with enterprise OAuth 2.0/OIDC auth, per-tool MFA, OpenTelemetry, and health checks.77MITWhy this server?
Connects to Jaeger trace backends to search and analyze distributed traces and spans, filter by service/operation/errors, retrieve full trace details, and inspect LLM-specific attributes.
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.19339 PyPIApache 2.0Why this server?
Supports Jaeger for distributed tracing of audit events.
AlicenseAqualityAmaintenanceAn MCP server that enables AI agents to safely operate multi-cluster Kubernetes fleets through an Open Cluster Management hub, with policy enforcement, human approval, and audit tracing.3547 PyPI17Apache 2.0Why this server?
Auto-detects and loads traces in Jaeger format, supporting performance and error analysis of Jaeger traces.
AlicenseBqualityCmaintenanceMCP server for analyzing OpenTelemetry traces with performance and error diagnosis, supporting loading from files, AWS X-Ray, and CloudWatch.8MITWhy this server?
Enables topology discovery via Jaeger distributed tracing, inferring service dependencies from trace data.
AlicenseAqualityCmaintenanceExposes a materialized service dependency graph as an MCP toolset for persistent, queryable root-cause analysis via Cypher queries.51Apache 2.0Why this server?
Exports MCP traces via OTLP to Jaeger for distributed tracing visualization and performance monitoring.
AlicenseAqualityCmaintenanceTransparent MCP proxy with OpenTelemetry tracing. Wrap any MCP server, persist traces to SQLite · Postgres · MySQL. No code changes needed.212 npm11Apache 2.0Why this server?
Export distributed traces to Jaeger for monitoring tool calls and performance.
AlicenseBqualityDmaintenanceManages Kubernetes clusters through kubectl and Helm operations including pod cleanup, node management, and troubleshooting.232,469 npmMIT