Datadog monitoring setup
Required service monitors detected
PASS
OpsLevel for AI agents
The context layer for your AI agents
AI's constraint isn't intelligence; it's context. Your agents have read all of your code. They don't know which patterns you're migrating away from, what breaks downstream, or what took the site down last time.
The seniority gap
Make your AI agents work like senior engineers, not interns
A good engineer knows software engineering. A great engineer also knows your organization, and that's what makes them effective. AI already has world-class technical knowledge, but it knows almost nothing about how things actually work at your organization. OpsLevel provides your coding agents with the code dependencies, related infrastructure, historical incidents, tech debt, and architectural information they need to function as high-performing engineers.
A senior engineer on your team
the useful zone
An AI agent without OpsLevel
Show with OpsLevel
What your agent doesn’t know
OpsLevel surfaces the relevant context for your agents in real time
Continuously correlated
40+ sources
Your architecture
Code and repos
Infrastructure
Observability
Incidents
People
→
How it gets in
API
Terraform and CLI
Native integrations
Webhooks
→
Correlated in
One governed model of your software
→
Out to your agents
Claude Code
Cursor
GitHub Copilot
Agents you build
Your agent already knows more about Rails than anyone on your team. What it doesn't know is your org: which of these 40 services is tier 1, what pages someone at 3 a.m., who to tag on the PR, and which one is mid-incident right now. That's the difference between a senior engineer and a brilliant new hire.
The map: your organization
- Ownership, so an agent routes work to the team that actually maintains the service.
- Dependencies, so it understands blast radius before it changes anything.
- Tiers and criticality, so it treats a payments service differently from an internal tool.
- Lifecycle and architecture, so it builds on the canonical path, not the deprecated one.
The moment: live state
- Deploys, incidents, and on-call, so it knows what is happening right now.
- Vulnerabilities, scorecard results, and failing checks, so it has guardrails and knows what good looks like.
- Correlated across GitHub, AWS, Datadog, PagerDuty, and 40 more sources, continuously.
Governance you already have
Ensure guardrails for your agents
The same rules that govern your coding standards now govern your agents. OpsLevel lets you transform checks and campaigns into agentic initiatives that can enforce your standards for you.
- Feed OpsLevel's maturity checks and standards into your agent's workflow so it creates PRs that pass your standards.
- Turn Failed Checks or Campaigns into Initiatives, so you can automate fixes for those failed checks.
Standards for your agents
1 blocked
Owners setup
Service ownership is configured
PASS
Uptime SLO
Availability target is configured
PASS
PagerDuty alerts setup
No escalation policy connected
FAIL
CI agent MERGE BLOCKED
agent> Pulled standards from OpsLevel and updated PR to meet them
blocked precondition: pagerduty_alerts_setup = false
From repositories to operational context
Give your agents the context behind the code.
OpsLevel shows them who owns each service, what it depends on, how critical it is, who is on call, and what is happening right now.
Repository index · alphabetical
Before: six repositories. No owners, tiers, dependencies, or on-call data.
OpsLevel adds the operating details the repository list leaves out.
Why Context matters more now
Without a map, your agent deprecates an endpoint blind, breaks a production integration, and burns cycles looping through PR reviews to find the fix. With OpsLevel MCP, your agent sees every consumer and the full blast radius upfront, then makes and merges the change without taking anything down.
Build your org topology in 3 simple steps
FAQs
What is the OpsLevel MCP server?+
A hosted Model Context Protocol server that exposes your OpsLevel catalog, standards, and self-service actions to any MCP-compatible agent. Connect it once with OAuth and your agents can query components, owners, dependencies, and check results directly.
Which agents and tools does it work with?+
Anything that speaks MCP, including Claude Code, Cursor, and GitHub Copilot. The CLI and API cover agents you build in-house, so you are not limited to a fixed list of integrations.
How do I control what an agent can see and do?+
OpsLevel's MCP server gives AI agents read-only access to your service catalog, so they can pull the context they need (ownership, dependencies, runbooks, deploy history) without being able to trigger deployments, change configurations, or modify your standards.
Why not just point our agent at our repos?+
Source code tells an agent how a service is written. It does not tell it who owns the service, what tier it is, what it depends on, or whether it is mid-incident. OpsLevel answers those directly, so the agent acts on facts instead of inferring them. Using far fewer tokens is a side effect of the context being curated.
Does this cost extra?+
The MCP server, CLI, and API are available to all OpsLevel customers at no additional cost.
Do developers have to work inside OpsLevel?+
No. Developers stay in the editors and agents they already use. OpsLevel is where those agents get their bearings.
Start today
