Give AI Agents Real-Time Access to Production Telemetry
Atatus MCP Server connects Claude Code, Cursor, Codex, and any MCP-compatible agent to live logs, traces, errors, deployments, and metrics. Debug production issues without switching tools.
Enterprise-Ready
SOC 2 Type II · SSO · Audit Logs
Secure by Design
RBAC, scoped tokens, read-only agents
Single Binary Deploy
Self-hosted or Atatus Cloud
Works with your AI IDE today
AI Coding Agents Lack Production Context
When your AI agent doesn't know what's actually happening in production, its suggestions are guesses. Context switching kills velocity. Hallucinated fixes waste hours.
Hallucinated Debugging
Agents generate fixes for errors they can't observe. Without real stack traces and logs, every diagnosis is a hypothesis.
Missing Telemetry
Your IDE and your observability platform are disconnected. Switching tabs to copy trace IDs and paste error messages breaks your flow.
Slow Incident Investigation
Root cause analysis that should take minutes stretches into hours when engineers manually bridge AI tools and monitoring dashboards.
Incomplete Root Cause Analysis
Errors don't exist in isolation, they trace back through deployments, upstream services, and config changes. Agents without this context miss the source.
Context Window Gaps
Manually pasting logs and metrics into your AI IDE is error-prone, stale by the time you do it, and eats into your context window with noise.
No Production Awareness
AI agents trained on code patterns don't know your deployment state, service topology, or what changed 12 minutes before the alert fired.
Bring Observability Into
AI Workflows
Built for engineering teams that need production-grade observability directly inside AI agents and developer workflows without complex integrations or context switching.
MCP as the Observability Bridge
The Model Context Protocol gives AI agents a structured, permissioned interface to query live observability data. Atatus MCP Server implements this protocol natively, no custom integrations, no fragile webhooks.
Query Logs, Traces, and Metrics on Demand
Agents call Atatus tools to fetch relevant telemetry for the error they're investigating. Real data, scoped to the right time range and service in seconds.
Faster Incident Response, Better Fixes
When Claude Code or Cursor can see the actual trace for a 500 error including upstream calls, database latency, the deploy that preceded and generates meaningfully better fixes.
Zero Context Switching
Engineers stay in their IDE. Agents pull production context automatically. The feedback loop from error to fix collapses from minutes to seconds.
Everything an AI Agent Needs to Debug Production
Production-grade observability built for AI-native debugging workflows and faster incident resolution inside developer environments.
Logs Access
Query structured and unstructured logs across services, time ranges, and severity levels. Agents get exactly the lines that matter.
Distributed Traces
Full end-to-end trace visibility. Agents can follow a request across microservices, identify slow spans, and pinpoint failure points.
Error Monitoring
Access grouped error events, stack traces, affected users, and frequency trends. AI gets the same signal your engineers see on-call.
Deployment Context
Query recent deployments, rollbacks, and config changes. Agents can correlate a spike in errors with what changed and when.
Metrics Querying
Pull APM metrics, infra stats, and custom dashboards on demand. Agents surface anomalies without needing dashboard access.
Incident Investigation
Fetch active incidents, their timeline, and linked alerts. Agents can assist during live incidents with full situational awareness.
RBAC & Access Control
Define exactly which services, environments, and data types each agent or user can access. Production isolation is enforced at the protocol layer.
MCP Tool Governance
Audit every tool call an agent makes. Know what data was queried, by whom, at what time with full log export support.
Real-Time Telemetry
Live data, not cached snapshots. Agents query the same pipeline your dashboards use where latency under 200ms for most tool calls.
AI IDE Integrations
Native MCP configuration for Claude Code, Cursor, VS Code, Codex, Windsurf, and GitHub Copilot. One config, all your tools.
From Incident to Fix, Without Leaving Your IDE
From detection to resolution, keep the entire debugging workflow inside your IDE.
Production Debugging
Ask your agent to investigate a 500 error. It fetches the trace, finds the failing service, reads the relevant log lines, and proposes a fix without you opening a browser.
AI-Assisted Incident Response
During an active incident, your agent queries current alerts, recent deploys, and upstream service health. It gives you a concise situation summary with prioritized next steps.
Root Cause Analysis
Correlate errors with deployments, dependency changes, and infrastructure events. Agents trace causation chains that would take an engineer 30 minutes to reconstruct manually.
Deployment Validation
After a deploy, let your agent monitor error rates, latency, and key metrics for 10 minutes and report back. Automated confidence checks before you close the PR.
Performance Investigation
Identify slow database queries, high-latency API calls, and memory anomalies by asking your agent to pull the relevant spans and metrics for a time range.
Error Triage
Sort incoming error groups by frequency, affected user count, and recency. Your agent prioritizes what actually needs a fix today versus what can wait.
Three Steps to AI-Native Observability
No YAML. No topology definitions. No manual span injection. One install gives you full auto-instrumentation for transactions, database queries, external requests, and distributed tracing.
Connect Atatus MCP Server
Add the MCP server config to your IDE such as Claude Code, Cursor, or VS Code. Takes under 5 minutes. Self-hosted or Atatus Cloud.
Authenticate Securely
Generate a scoped API token from the Atatus dashboard. Assign environment-level and service-level RBAC permissions. Tokens are read-only by default.
Query Telemetry From Your Agent
Your AI agent now has access to Atatus MCP tools. It queries logs, traces, and metrics automatically, whenever it needs production context to help you.