Fleet Management
MDM for AI developer tools
Mobile Device Management changed how IT teams deploy software — push an update once, and every device in the fleet receives it. Caliber brings the same model to AI developer tools. Define your approved skills, rules, and MCP configurations centrally, then push-install them to every developer machine in your organization. No more hoping developers manually configure things correctly.
Push-install approved configurations
When your platform team approves a new tool configuration, Caliber deploys it across the fleet. Every developer gets the same approved setup without lifting a finger:
- Skills and rules — push project instructions, coding conventions, and reusable prompt templates to every developer environment
- MCP server configs — deploy approved MCP connections (database access, deployment tools, documentation sources) with correct credentials per team
- Agent definitions — distribute
AGENTS.mdandCLAUDE.mdfiles that define how AI agents behave in your codebase - Platform-specific formats — Caliber writes configs in the correct format for each developer's tool (Claude Code, Cursor, Windsurf, Copilot)
Fleet dashboard: deployment status at a glance
The fleet dashboard shows you exactly where every configuration stands across your organization. No guessing, no Slack threads asking “did everyone update their MCP config?”
# Fleet Overview
Total: 82/90 in sync ✓
Pending: 3 developers awaiting next sync
Failed: 1 developer — file permission error
# Per-Team Progress
Engineering: 44/47 in sync
Ops: 8/12 in sync
Data: 18/18 in sync ✓
Security: 12/13 in sync
Deployment policies: auto-deploy vs manual approval
Not every configuration change should roll out the same way. Caliber lets you set deployment policies per tool type so low-risk updates ship automatically while sensitive changes require explicit approval:
- Auto-deploy — rules and skills deploy on next
caliber sync. Low risk, high frequency, no approval bottleneck. - Manual approval — MCP server configs that access production databases or external APIs require team lead sign-off before deployment
- Per-team overrides — platform engineering auto-deploys everything; contractor teams require approval for all tool types
Fleet actions: push, sync, rollback
When configurations need to change, the fleet dashboard gives you three actions to manage the rollout:
- Push update — deploy a new or updated configuration to all developers in a team or across the organization
- Force sync — overwrite local configurations that have drifted from the approved baseline, bringing developers back into compliance
- Rollback — revert to the previous known-good configuration if a push causes issues, applied per-team or fleet-wide
Eliminate configuration drift
Without fleet management, every developer ends up with a slightly different AI tool setup. One person has an outdated MCP config. Another is missing a critical skill. A third has a rule file from three sprints ago. Caliber's fleet management ensures every developer has the same approved configuration — no drift, no surprises, no “works on my machine” for AI tools.
Connected to governance
Fleet management is the enforcement layer for your AI compliance policies. Only tools that pass your governance review get pushed to the fleet. Unapproved tools flagged by shadow AI detection are blocked from deployment. The governance dashboard decides what's approved; fleet management makes sure it actually reaches every developer.
Frequently asked questions
How does AI fleet management differ from traditional MDM?
Traditional MDM manages operating systems and applications on physical devices. AI fleet management applies the same principle to developer tool configurations — skills, rules, MCP servers, and agent configs. Instead of pushing an OS update to 500 laptops, you push an approved MCP configuration to 500 developer environments. Caliber tracks deployment status per team and per developer, giving you the same visibility you expect from device management.
Can I auto-deploy some tool types and require approval for others?
Yes. Caliber supports per-type deployment policies. You can set rules and skills to auto-deploy on next sync while requiring manual approval for MCP server configs that access sensitive APIs. Each policy is configurable per team, so your platform engineering team might auto-deploy everything while your contractor team requires approval for each tool.
What happens when a fleet push fails on a developer machine?
Caliber reports the failure in the fleet dashboard with the specific error. Common causes include file permission issues or conflicting local configs. You can retry the push, force sync to overwrite local state, or rollback to the previous known-good configuration. Failed deployments are flagged in the per-team progress view so nothing slips through.
Learn more about team sync for AI configs, or explore how Caliber handles shadow AI detection and AI compliance.
Deploy approved AI tool configs to every developer machine.
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