tracehub-mcp

mcpsmiths/tracehub-mcp

★ 0 stars Python AI/LLM Updated 1d ago

MCP server for querying OpenTelemetry traces across multiple observability backends (Jaeger, Tempo, Traceloop, Datadog, and more) for LLM application debugging. Fork of traceloop/opentelemetry-mcp-server.

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Quick Install

Copy the config for your editor. Some servers may need additional setup — check the README.

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "tracehub-mcp": {
      "command": "uvx",
      "args": [
        "tracehub-mcp"
      ]
    }
  }
}

Or install with pip: pip install tracehub-mcp

README Excerpt

**Give your AI assistant a direct line into your observability backend.** tracehub-mcp is an MCP (Model Context Protocol) server that lets Claude, Cursor, Windsurf, Gemini CLI, or any MCP client query OpenTelemetry traces from your LLM/GenAI application and reason about them — find expensive calls, debug errors, compare model performance, track token usage — without you copy-pasting trace JSON into a chat window.

Tools (20)

BACKEND_API_KEYBACKEND_APP_KEYBACKEND_ENVIRONMENTSBACKEND_SENTRY_ORGBACKEND_SENTRY_PROJECTBACKEND_TIMEOUTBACKEND_TYPEBACKEND_URLINFOLOG_LEVELMAX_TRACES_PER_QUERYfind_errorsget_llm_expensive_tracesget_llm_model_statsget_llm_slow_tracesget_llm_usageget_tracejaegerlist_llm_modelslist_llm_tools_tool

tracehub-mcp

Quick Install

README Excerpt

Tools (20)

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