What is the Atono MCP server?

It is a Model Context Protocol server that allows AI coding tools like Cursor or Claude to interact directly with your Atono workspace to read tasks or create user stories.

How does Atono differ from Jira?

Atono is built specifically for AI-native workflows, combining project management with a product knowledge layer and built-in feature flagging that traditional tools lack.

Can I use Atono for free?

Yes, Atono offers a 'Free Forever' plan for up to 25 users, which includes core project management features and limited access to AI capabilities.

What is 'AI Context' in Atono?

AI Context is a feature that ensures decisions and research stay linked to the work, allowing AI tools to tap into your team's historical knowledge during the development process.

Does Atono support feature flags?

Yes, it has integrated feature flagging that allows you to toggle features directly from stories and manage environment-specific configurations.

What integrations does Atono offer?

Atono integrates with popular development environments like Cursor, VS Code, and Copilot, as well as providing an MCP server for broader AI ecosystem compatibility.

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Product management

Freemium

Atono

AI-native product management platform that gives your AI tools product context. Build stories, manage feature flags, and track engagement in one unified workspace.

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Rating

Reviews

Upvotes

4 months ago

Listed

Product management

Agile development

Feature flags

AI context

User stories

Bug tracking

Kanban

Software development

Productivity

Team collaboration

Tool information

Provider

Atono

Platforms

Web

Languages

English

API Available

Yes

Added to directory

4 months ago

Last updated

about 2 months ago

Rating

Not available

Pricing

Freemium

About Atono

What the tool does and who it's for

Atono is an AI-native product management platform designed to unify planning, delivery, and measurement. It functions as a product knowledge layer that integrates with developer tools like Claude, Cursor, and Copilot. By providing AI with actual product context—including past decisions, terminology, and architectural patterns—Atono helps teams generate accurate user stories, detect duplicate bugs, and automate feature flags. It bridges the gap between high-level roadmaps and technical execution, ensuring that institutional knowledge compounds as the team ships code.

Key capabilities

Product Knowledge Layer: Feeds AI tools actual terminology and architectural context to improve story writing and coding accuracy.

AI-Powered Story Sizing & Risk Rating: Uses historical data to estimate effort and identify potential delivery risks automatically.

Integrated Feature Flags: Ties deployment directly to user stories, allowing teams to release features without separate tools.

MCP Server & Tooling: Enables AI assistants (like Claude and Cursor) to read and write directly to your product backlog.

Automated Bug Triage: Detects duplicate reports and provides developers with full diagnostic context for faster fixes.

Feature Engagement Tracking: Measures what users actually use and feeds that data back into the planning cycle.

Living Roadmaps: Dynamic timelines that reflect real-time shipping progress and technical constraints.

Contextual Search (Capy): An AI-powered RAG search to query internal product documentation and past decisions.

Pricing

Freemium — plans below

Free

Up to 25 users
Kanban & Scrum support
5,000 MAU Feature flags
150 Backlog items
30-day AI feature trials
5GB Storage

Starter

Growth

$39

Everything in Starter
1-year engagement tracking
8x5 Priority support
Money-back guarantee
Advanced team performance analytics

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