VictoriaTraces FAQs

Question 1

How does VictoriaTraces facilitate AI integration?

Accepted Answer

It leverages the Model Context Protocol (MCP) to allow AI models and tools to programmatically query and analyze distributed trace data, retrieve services and operations (span names), and interact with your VictoriaTraces instance for automated insights.

Question 2

What types of trace data can I access with VictoriaTraces?

Accepted Answer

You can access VictoriaTraces' read-only APIs to retrieve services, operations, and comprehensively query and analyze distributed trace data, offering deep insights into your system's performance and behavior.

Question 3

Can VictoriaTraces be combined with other MCP servers?

Accepted Answer

Yes, a key benefit is its ability to combine functionality with other MCP servers. This allows you to create more powerful and integrated workflows, blending trace data with other observability or documentation tools.

Question 4

Does VictoriaTraces require online access for documentation?

Accepted Answer

No, the VictoriaTraces MCP server includes embedded, up-to-date documentation. This means you can search and reference VictoriaTraces documentation offline directly within your AI prompts, enhancing productivity.

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