An AI platform engineer

Put an AI platform engineer on every cluster.

Agents that read live cluster state, fix what breaks and wait for your approval. Use Ankra's AI team, or connect Claude, Cursor or your own agent over MCP.

Start with Ankra Read the guide

Connect Claude Code to every cluster in one line

$ claude mcp add --transport http ankra https://platform.ankra.app/api/v1/mcp

Run /mcp in Claude Code to sign in. Cursor and other clients use a token.MCP docs CLI docs CLI on GitHub

For engineering teams and agent builders

The work to take off your team

An agent can write a fix. It needs the running system to know which fix matters.

Ankra brings cluster state, logs, events, Git configuration and operational tools into the same platform. Use the built-in AI team or connect your existing agent through the CLI, API and MCP.

With Ankra

Agents that investigate, propose the fix and act only within the boundaries you choose.

Choose the agentGrant useful contextSet the boundariesFollow the work

A practical path

How this works with Ankra.

01
Choose the agent
Use a role agent, create your own, or connect the agent you already work with.
02
Grant useful context
Scope its access to the organisation, clusters and individual tools it needs.
03
Set the boundaries
Choose observation, proposals or permitted autonomous actions. Review gated changes before they run.
04
Follow the work
Inspect runs, transcripts, board tickets, approval requests and execution records.

Follow the product guide

Hand it real work

Ask it like you would ask your best platform engineer.

Every answer starts from the running system: logs, events, manifests, Git history and cost. Every change runs inside the boundary you set.

Read only
“Why is checkout-api crashlooping in production?”
Reads the previous container's logs, the events for that pod and the stack's recent changes, then answers with the evidence.
Waits for approval
“Upgrade cert-manager on staging, then hold production for me.”
Proposes the chart upgrade with the current version as the rollback and parks the production change until you approve it.
Pull request is the gate
“Clear the critical CVEs on prod-eu.”
Maps each vulnerable image to the application or add-on that deployed it and opens one pull request per repository with the fixed versions.
Read only
“What is this cluster costing us, and where is it idle?”
Pulls estimated cost by cluster, stack and workload, and points at the unused capacity worth reclaiming.
Pull request is the gate
“Put this repository online on staging.”
Analyses the repository and proposes the Dockerfile, chart and pipeline it needs as a pull request you merge.
Read only
“Is anything degraded across my clusters right now?”
Checks every cluster in your organisation and summarises what needs attention first, with portal links to each one.

Bring your own agent

One command. Every cluster behind it.

Claude, Cursor or the agent you built yourself gets the same tools Ankra's AI team uses. There is nothing to install or host: point the client at the endpoint, sign in, and ask for your clusters.

# Register the server, then sign in with OAuth

$ claude mcp add --transport http ankra \
    https://platform.ankra.app/api/v1/mcp
$ claude
> /mcp                # sign in to Ankra
> why is checkout-api crashlooping in production?

  ankra · list_clusters
  ankra · get_pods        namespace checkout
  ankra · get_pod_logs    previous container
  ankra · get_events      pod checkout-api

Illustrative session. Claude's OAuth grant is scoped to one organisation.

# Install, sign in and teach your assistants Ankra

$ brew install ankraio/tap/ankra
$ ankra login
$ ankra skills install   # Agent Skills for every assistant found
$ ankra chat "what is degraded across my clusters?"

# Machine-readable output for scripts and CI agents
$ ankra chat --mode ask -o json "is anything degraded?"
$ ankra agents runs

No Homebrew? Use the install script or a binary from GitHub Releases.

# A read-only token, then your user-level MCP config

$ ankra tokens create cursor --scopes mcp:read

# ~/.cursor/mcp.json
{
  "mcpServers": {
    "ankra": {
      "url": "https://platform.ankra.app/api/v1/mcp",
      "headers": { "Authorization": "Bearer <ankra-token>" }
    }
  }
}

Replace <ankra-token> with the token the first command prints. Add mcp:write only when the client should change resources.

MCP tools across clusters, stacks, GitOps, pipelines, security and cost: 450+MCP tools across clusters, stacks, GitOps, pipelines, security and cost
role agents in every organisation from day one: 6role agents in every organisation from day one
token scopes. mcp:read looks, mcp:write acts: 2token scopes. mcp:read looks, mcp:write acts
worker vCPUs free on every plan, no credit card: 30worker vCPUs free on every plan, no credit card

Give your agent a cluster tonight. Start free, connect a cluster and ask your first question in minutes.

Start free Try a playground first

Already on staff

Your AI team is waiting when you sign up.

Six role agents arrive in every organisation. Chat with one, dispatch it on a mission, or build your own with the agent wizard.

AI Team Lead
Triages requests, routes work to the right specialist and files tickets for anything that outlives the chat.
Developer
Helm charts and values, deploys, CI/CD workflows and pull request demos.
Database Admin
StatefulSets, volumes, operators and backups. Verifies backups before proposing anything that touches data.
SRE
Alert triage, golden signals, incident timelines and postmortem notes. Evidence first.
DevOps
Clusters, node pools, add-ons, stacks, GitOps drift and IaC. One reversible step at a time.
DevSecOps
Turns a security report into fixes, as pull requests at the source and add-on upgrade proposals.

Safe by default. They never run on a schedule, every cluster write waits for your approval, and they cost nothing until you talk to them.

The platform behind the workflow

The pieces, already connected.

Ankra AI agents

Work with role agents for delivery, reliability, databases, infrastructure and security, or create an agent for your team.

CLI, API & MCP

Connect the agent you already build with to the same platform your team uses. Automate from your editor, terminal or scripts.

Agent autonomy & approvals

Choose observation, proposals or permitted autonomous actions. Review gated changes and follow what agents executed.

Watch a real workflow

See it running.

A recorded walkthrough of the platform on real infrastructure. The film shows a specific environment, rather than a promise about every deployment.

Plays from YouTube. Open on YouTube instead

What comes next?

Keep building from here.

Operate & protect

Investigate production incidents

Give your team and its agents the logs, events and resource state needed to investigate a running application.

Operate & protect

Self-service with control

Give developers and agents useful access while retaining ownership of permissions, configuration and changes.

Build & ship

Application delivery & CI/CD

Bring testing, builds, security scans, images and deployment into one delivery workflow.

Your next chapter

You built it.
Let’s get it live.

Give your application a path to production.
Give your team a simpler way to run it.

Get your app live Try a playground

First 30 vCPU of platform usage included.
No credit card required.

From something you built
to something people use.

Deploy from your repository
Run on infrastructure you choose
Operate with your team and agents