SigNoz provides two ways to connect AI coding assistants to your observability data, allowing you to seamlessly set up SigNoz, write optimized queries, or analyze your telemetry:
Integration Options
MCP Server
The SigNoz MCP Server implements the Model Context Protocol (MCP), enabling direct communication between AI assistants and your SigNoz instance.
- Query metrics, logs, and traces using natural language
- Inspect alerts, dashboards, and services
- Works with Claude, Cursor, Gemini, Codex, etc.
Get started with the MCP Server → Agent Skills
SigNoz Agent Skills are an open format for extending AI coding assistants with specialized knowledge about SigNoz. Skills are markdown files (SKILL.md
) that guide agents to perform observability tasks.
- Explore SigNoz documentation and ClickHouse query patterns
- Works with Claude Code and skills.sh compatible agents like Codex, Cursor, Gemini, OpenCode, etc.
- Install with a single command
Get started with Agent Skills → MCP Use Cases
Once you have the MCP server connected, explore practical workflows:
- Search and analyze logs by asking questions in plain English.
- Ask "why is this slow?" and get a span breakdown with the bottleneck identified.
- Paste a trace ID and reconstruct the full request path with root cause analysis.
source & further reading
signoz.io — original article
SigNoz MCP Server
MCP Use Cases
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