Keep your tools. Skip the rebuild.

Connect your tools. Reach the rest through an API, MCP, or the browser.

Integration directory

Multi-cloud operations
under one rulebook.

Native AWS, Google Cloud, and Azure connectors, checked by the same CEL policies.

Amazon Web Services

  • Read logs

    CloudWatch logs, metrics, and alarms.

  • Inspect workloads

    EKS, ECS, EC2, RDS, and Lambda.

  • Manage resources

    Start, stop, or reboot EC2 and RDS.

Google Cloud

  • Read logs

    Cloud Logging, metrics, and alert policies.

  • Inspect workloads

    GKE, Cloud Run, and Compute Engine.

  • Manage resources

    Start, stop, or reset VMs.

Microsoft Azure

  • Read logs

    Log Analytics queries, metrics, and alerts.

  • Inspect workloads

    AKS, VMs, Container Apps, and Functions.

  • Manage resources

    Start, stop, or restart VMs.

Connect it once. Govern it everywhere.

  1. 01

    Authorize once

    Open the connect link and sign in to the app. The connection belongs to the account you authorized, and you can attach it to several AI employees.

  2. 02

    Credentials stay protected

    App credentials stay with the connection provider. Keys you add are encrypted and injected only as a request goes out, never shown back.

  3. 03

    Your policies apply

    Every app arrives as one toolset, classed by its riskiest action, so the rules you write for sensitive actions cover it from the first call.

Connect it anyway.

Internal services, niche tools, even sites without an API.

Create a custom integration
  • Any API

    Connect public or internal APIs to your AI employee.

  • MCP servers

    Bring your own MCP server and its tools.

  • Manual browser interaction

    Work through websites and forms, just as a person would.

  • Terminal commands

    Run commands, scripts, and command-line tools.

What would you hand over first?

Start with one role and one real task.

Apply for access

Takes about a minute. We reply by email.

What’s your name?

Press Enter to continue