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. No separate AI SRE product required.

No learning new Dashboard UX. In-context Observability in your workflows.
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Powerful, In-context Observability

In the tools you need. At the time you need.

SigNoz MCP Server

Plug 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 today.

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Why Agent Native Observability

Debug faster. Ship with confidence. All from your dev environment.

From alert to root cause to fix. In one session.

Use SigNoz connected with your coding agent to get the full picture: traces, logs, metrics, service topology, and deployment history — in one query. Your codebase is already loaded. Correlate production telemetry with the actual code that caused it.

Connect to Kubernetes, Git, Jira via your cloud provider CLI in your dev environment. Investigate issues, diagnose root cause, and fix without leaving your env.

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Coding agent investigating an ECS service OOM issue — tracing root cause from alert to fix
skill.md file defining custom debugging heuristics — latency propagation, backpressure, cascading failures

Teach 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.

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GitHub, Slack, GitLab, and Jira connected to SigNoz — tribal knowledge and integrations flow
SigNoz built on top of OpenTelemetry — isometric layers showing the open-standards foundation

Open by design. No lock-in. Ever.

SigNoz 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.

No more context-switching to a separate observability tool.