LLM-powered insights into your tracing data: introducing MCP support in Grafana Cloud Traces

Grafana Cloud Traces, a fully managed distributed tracing system powered by Grafana Tempo, now supports the Model Context Protocol (MCP), a protocol developed by Anthropic to standardize context provision for large language models (LLMs). This integration enables users to leverage LLM-powered tools like Claude Code and Cursor to analyze and derive insights from tracing data, simplifying the process of understanding service interactions and diagnosing issues. The post provides a walkthrough on connecting Claude Code to Grafana Cloud Traces, utilizing the MCP endpoint, and demonstrates how tracing data can be used for onboarding, identifying errors, and optimizing service performance. Additionally, the integration is in public preview and will be included in the upcoming Grafana Tempo 2.9 release, with future plans to enhance data presentation and API capabilities for more efficient LLM interactions.