otel-mcp-server

An MCP server that exposes your OpenTelemetry observability stack — traces, metrics, logs, and more — as tools for AI agents. Built on a Skill plugin architecture for easy extensibility.

> Give any LLM agent the ability to query your Jaeger traces, run PromQL, search Loki logs, and investigate production issues — through a standard protocol.

┌─────────────────┐     MCP (stdio/HTTP)     ┌──────────────────┐
│  Claude Desktop │ ◄──────────────────────► │                  │
│  GitHub Copilot │                          │  otel-mcp-server │──► Jaeger   (traces)
│  Custom Agent   │                          │                  │──► Prometheus (metrics)
└─────────────────┘                          │   7 skills       │──► Loki     (logs)
                                             │   32 tools       │──► Elasticsearch
                                             │   authenticated  │──► Alertmanager
                                             └──────────────────┘──► App API  (ZK/system)

> *"What's running, what's healthy, and what needs attention?"* — answered in seconds by an AI agent using this MCP server against a local Docker Compose stack:

> *"Tell me what happened to order ORD-1774382223417-7"* — full distributed trace across 4 services, 40 spans, with ZK proof verification:

> *"What about the k8s cluster?"*

• 32 tools across 7 skills — traces, metrics, logs, Elasticsearch, Alertmanager, ZK proofs, system health
• Skill plugin architecture — each backend is a self-contained plugin;