$ annie askMCPThe foundation:
Your company as a graph.
A versioned knowledge graph is a continuously-synced map of everything your company runs and works in, from infrastructure and applications to identity, tickets, and docs. Every state change is tracked with full history, so you and your AI agents can always ask “what changed?”
What’s in the graph
Everything your company runs and works in, on one continuously-synced graph.
Connected, versioned, and reconciled into one source of truth.
Resources, services, dependencies
Cloud, Kubernetes, services, and identity, with the dependencies between them.
Linked back to the commit
Repos, deploys, and config, each change tied to its commit and diff.
Tickets, docs, and alerts
Monitors, tickets, docs, and post-mortems, wired to the services they touch.
Every state change, kept
Not a snapshot. Every change is timestamped, so you can diff any two moments.
Walk from any change to what it touched.
Every state change is on the graph, wired to the resources it shaped and to the tickets and docs around it. Walk forward from a config edit to the services it broke and the alerts it raised, or backward from an alert to the change, the ticket that requested it, and the runbook that should have covered it.
- T − 1d
Confluence: api-scaling runbook last edited - T − 6h
Deploy api-service @ 7af3a91 - T − 3h
HPA threshold lowered to 65% - T − 1h
RDS provisioned IOPS reduced - T − 15m
First 500s appear - NowRoot cause: HPA edit, runbook never updated
What the graph unlocks
Onboarding, decisions, incidents, and prevention, from one graph.
Know your whole system
Ask anything about your stack in plain English and get an answer with sources in seconds. New hires onboard in days, and your AI agents get the same context.
Decide and plan
See the blast radius before you ship, plan changes, and catch drift, missing monitors, and risks before they become incidents.
Investigate incidents
When something does break, root cause in seconds, not hours. The graph pinpoints exactly what broke and why.
Built for agents and engineers
An MCP server and a CLI, first.
Your AI agents pull live context through the MCP server. Your engineers query the same graph from the CLI. There’s a web app and a Slack bot too, when you want them.
Root Cause Analysis
From alert to root cause in seconds.
When an incident fires, Annie traverses the versioned knowledge graph across code deploys, infrastructure changes, and monitoring signals to isolate the exact failure point. No more log diving: just the answer.
Alert correlation across deploys, configs, and infrastructure
When an incident fires, Annie correlates the alert against recent code deploys, config changes, and infrastructure faults automatically. No manual triage step.
Cascade tracing through the versioned graph
Annie follows the dependency chain from symptom to source, walking the versioned knowledge graph across services to surface the cascade root rather than the loudest alert.
Commit-level pinpointing
The result is the exact commit, config diff, or resource change that caused the incident, not a list of suspects. Mean-time-to-root-cause drops from hours to seconds.
Knowledge Base
One question replaces ten console tabs.
Annie is a queryable assistant over your whole stack. Ask plain-English questions about deployments, commits, dependencies, config changes, and monitoring data, all backed by a versioned knowledge graph that remembers every state change. She draws on historical incidents, Jira tickets, Slack threads, and post-mortems, and can generate Mermaid diagrams to visualize dependencies and blast radius.
Live state queries across cloud, Kubernetes, code, and monitoring
Annie queries live infrastructure state directly: cloud accounts, Kubernetes clusters, deployments, source repos, and monitoring backends, without console-hopping or stitched-together CLI sessions.
Plain-English Q&A with full context
Ask in natural language. Answers come back enriched with historical incidents, runbooks, and post-mortems, and adapt to your team’s architecture patterns and custom terminology.
CLI, MCP, web, and Slack surfaces
Available where engineers already work: as a CLI, an MCP server, a web dashboard, and a Slack app. No tab-switching to ask a question.
Continuous Protection
Fix it Tuesday, not 3 AM Saturday.
Annie continuously scans your versioned knowledge graph for missing monitors, node pool upgrades, and early signs of degradation, flagging risks while there is still time to act.
Missing monitors and observability gaps
Annie continuously scans your versioned knowledge graph for services without alerts, dashboards without owners, and observability gaps that hide degradation until it becomes an incident.
Pending upgrades, EOL versions, and misconfigurations
Node pool upgrades, EOL Kubernetes versions, drifted Terraform state, and resource misconfigurations get flagged with enough lead time to fix on a Tuesday rather than a Saturday.
Actionable recommendations, not just alerts
Each finding ships with a specific recommendation: the manifest to update, the IAM policy to tighten, the alert to add. Not a generic “you have a problem.”
Integrations
Plugs into your stack in minutes.
Read-only access via secure IAM roles. Simple setup, no complex networking required.
Further reading
How the graph reduces real-world debugging time.
How to trace a production incident back to the commit
Defining the change window, computing the dependency neighborhood, and joining application and infrastructure markers into a single query.
How to detect Terraform drift across multi-cloud
Why terraform plan stops being enough at scale, and how audit-log subscription per provider catches drift in minutes instead of days.
5 key reasons you’re struggling to debug your infrastructure in under an hour
Scattered visibility, missing historical state, terraform plan blind spots, fragmented documentation, and post-merger environments that no one has fully mapped.
Top 3 weak points in your infrastructure and how to mitigate them
Single-repo bottlenecks, ClickOps and dead IaC code, and module version fragmentation that quietly bypasses your security patches.
Ready to build resilient systems?
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