Introducing Agent Native
Observability
Connect SigNoz to your coding agents (e.g. Claude Code, Cursor) and debug production issues without leaving your dev environment.
Traces, logs, metrics, service topology, and your actual codebase — all in one place. Or use Noz, our new AI Assistant out-of-the-box. No AI SRE required.
Powerful, In-context Observability
In the tools you need. At the time you need.
SigNoz MCP Server
Plug directly into Claude Code, Cursor in minutes. Get full observability context - traces, logs, metrics, service topology, deployment history - in every session. Start debugging in your terminal.
Noz : SigNoz AI Assistant
A sidepane as you work, or full-screen view to dig in. Ask about logs, traces, metrics in plain English - pulls up the right explorer view with the query.
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Why Agent Native Observability
Talk to your observability stack in natural language.
Describe what you want in natural language and SigNoz builds it. Create dashboards from 80+ templates or from scratch. Generate alerts with sensible defaults. Run queries and get results directly in chat — no query language required.
“Create a latency dashboard for my payment service” → Done. Fully interactive.
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From alert to root cause to fix. In one session.
You can use SigNoz connected with your coding agent to do analysis and get the full picture: traces, logs, metrics, service topology, and deployment history — in one query. Your codebase is already loaded. Correlate production telemetry with actual code that caused it.
Connect to Kubernetes, Git, Jira via your cloud provider CLI in your dev environment. Create issues, diagnose root cause, and code fix without leaving your env.
Learn moreTeach it your team's debugging heuristics. Not someone else's.
AI SRE tools apply one-size-fits-all reasoning. SigNoz MCP with Claude Code, Cursor, and other coding agents lets developers customize reasoning by codifying best practices in your skills.md and sharing with your team in a GitHub repo. Show it your runbooks, your service topology, your escalation paths and let the coding agents investigate and pinpoint the issue.
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Plugged into your tribal knowledge. No third-party detours.
Connect directly to the tools your team already uses — GitHub, Jira, Kubernetes — with no routing through third-party connectors or external networks. Agents leverage your existing runbooks, docs, and best practices to pinpoint issues fast. Team knowledge stays in the systems your team already trusts.
Most AI SRE tools hit an adoption wall here: limited access to internal tools means limited reasoning. With SigNoz MCP and coding agents, you work inside your environment, not around it.
Watch VideoOpen by design. No lock-in. Ever.
SigNoz is based on open standards and is a neutral data layer for AI-assisted debugging. Built on OpenTelemetry, the CNCF standard — your instrumentation, your agents, and your investigation data stay yours. Extend across vendors. Port across tools. Define your own debugging workflows and share them as reusable skills. The open investigation format SigNoz uses becomes a standard your entire team can build on.
