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Atono icon

Atono

Atono is a product engineering platform that keeps product context connected to the work — stories, feature flags, and usage data in one system, served to your AI coding tools through a 41-tool MCP server.

Atono screenshot 1

Cost / License

  • Freemium (Subscription)
  • Proprietary

Application type

Platforms

  • Software as a Service (SaaS)
Atono screenshot 1
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Features

Properties

  1.  AI-Powered

Features

  1.  Subtasks
  2.  Kanban Board
  3.  Model Context Protocol (MCP) Support
  4.  Feature flag
  5.  Product Roadmap Management
  6. GitHub Copilot icon  GitHub Copilot Integration
  7.  Release Management
  8.  REST API
  9.  Team Collaboration
  10.  Issue Tracking
  11. GitHub icon  GitHub Integration
  12.  Workflow Management
  13. Slack icon  Slack integration
  14.  Product Analytics

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Atono information

  • Licensing

    Proprietary and Freemium product.

  • Pricing

    Subscription ranging between $19 and $39 per month + free version with limited functionality.

  • Alternatives

    9 alternatives listed

  • Badge

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  • Supported Languages

    • English
Atono was added to AlternativeTo by Megan Lo on and this page was last updated .
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Official Links

What is Atono?

Teams don't have a coding problem anymore. They have a context problem. AI made producing software cheap, which exposed product context as the scarce resource — and agents can only reliably act on context they can access.

Atono is the product engineering platform that keeps product context connected to the work. It spans the full loop — plan, build, deploy, measure — in one system: stories and epics, Scrum and Kanban workflows, feature flags, and real feature-engagement data. The story is the hub: a single story carries its user story and acceptance criteria, the feature flag that controls its rollout, the usage data proving whether it worked, and the AI context (design decisions, investigations, summaries) that agents read. In a conventional stack those four live in four products, and the context is destroyed at every seam.

A locally-run MCP server exposes 41 tools to Claude Code, Claude Desktop, Cursor, VS Code/Copilot, Windsurf, and Codex, so your agents read requirements, update workflow steps, document fixes, and write design decisions back — without leaving the editor. Agent actions are attributed and auditable; AI-generated values are marked.

Best fit: post-MVP SaaS companies with 25–250 engineers adopting AI-assisted development. Adopt it beside Jira or Linear, or consolidate work tracking, feature flags, and product analytics into one workspace.

Free for up to 25 users. Starter $19/user/month. Growth $39/user/month.

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