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.
Cost / License
- Freemium (Subscription)
- Proprietary
Application types
Platforms
- Software as a Service (SaaS)
Features
Properties
- AI-Powered
Features
- Subtasks
- Kanban Board
- Model Context Protocol (MCP) Support
- Feature flag
- Product Roadmap Management
- Release Management
- REST API
- Team Collaboration
- Issue Tracking
GitHub Integration- Workflow Management
Slack integration- Product Analytics
Atono News & Activities
Recent activities
atono added Atono as alternative to GitLab Issues
atono added Atono as alternative to Productboard- atono updated Atono
atono added Atono as alternative to Unleash, PostHog and LaunchDarkly- atono liked Atono
Atono information
Licensing
Proprietary and Freemium product.Pricing
Subscription ranging between $19 and $39 per month + free version with limited functionality.Alternatives
9 alternatives listedSupported Languages
- English
AlternativeTo Categories
Development, Office & Productivity, AI Tools & Services, Web Browsers, Business & Commerce, Remote Work & Education
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.