tracehub-mcp v0.3.0 Lets AI Assistants Query LLM Trace Backends Directly

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tracehub-mcp is an open-source MCP server released as version 0.3.0 on PyPI on September 13, 2026, designed to give AI coding assistants like Claude and Cursor direct query access to OpenTelemetry trace backends. Previously, developers had to manually copy trace data from tools like Jaeger or Datadog and paste it into AI chat windows to get help debugging LLM applications. The tool exposes structured query functions such as search_traces, get_llm_expensive_traces, and get_llm_model_stats, enabling assistants to reason over trace data without manual intervention. It natively supports OpenTelemetry's gen_ai semantic conventions, handling prompts, token usage, and finish reasons as queryable fields rather than raw string attributes. The server now supports five backends — Jaeger, Grafana Tempo, Traceloop, Datadog, and Sentry — each with full implementations of all core MCP-facing operations.

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