Tempo FAQs

Name: Tempo
Author: grafana

Question 1

What kind of data can AI agents query from Grafana Tempo using Tempo?

Accepted Answer

AI agents can query Grafana Tempo for traces based on various parameters including service names, durations, HTTP status codes, specific time ranges, and limits on the number of traces returned, providing deep insights into distributed systems.

Question 2

What is Tempo and its primary function?

Accepted Answer

Tempo is a Go-based server implementation of the Model Context Protocol (MCP) designed to enable AI assistants to query and analyze distributed tracing data directly from Grafana Tempo instances.

Question 3

How does Tempo facilitate AI interaction with Grafana Tempo?

Accepted Answer

Tempo provides a `tempo_query` tool through the Model Context Protocol, allowing compatible AI agents to execute specific trace queries on Grafana Tempo, retrieving and analyzing distributed tracing information programmatically.

Question 4

Which AI platforms and tools can integrate with Tempo?

Accepted Answer

Tempo is designed for flexible integration and can be configured with popular AI platforms like Claude Desktop and Cursor, as well as workflow automation tools like n8n using its MCP Client Tool node.

Question 5

Does Tempo support different communication methods for integration?

Accepted Answer

Yes, Tempo offers versatile communication methods, supporting both standard input/output (stdin/stdout) for direct interaction and an HTTP server with Server-Sent Events (SSE) endpoint for real-time, web-based integrations.

Tempo

Tempo

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