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What is Prefect Horizon?

Prefect Horizon functions as a comprehensive managed AI infrastructure platform within the broader Prefect product suite, empowering teams to deploy, govern, and oversee Model Context Protocol (MCP) servers and AI agents at an enterprise scale, equipped with crucial production-ready features such as managed hosting, authentication, access control, observability, and governance tools. Utilizing the innovative FastMCP framework, it elevates MCP from a simple protocol to a robust platform composed of four interconnected core components: Deploy, which streamlines the quick hosting and scaling of MCP servers through continuous integration, continuous deployment (CI/CD), and monitoring; Registry, serving as a centralized hub for first-party, third-party, and curated MCP endpoints; Gateway, delivering role-based access control, authentication, and audit trails to ensure secure and regulated access to various tools; and Agents, which provide intuitive interfaces deployable in Horizon, Slack, or accessible via MCP, thereby enabling business users to interact with context-aware AI without needing in-depth technical knowledge of MCP. This comprehensive strategy not only allows organizations to fully leverage AI functionalities but also reinforces their governance and security measures, thus promoting a responsible use of advanced technologies. By integrating these elements, Prefect Horizon presents a solution that meets the intricate demands of modern enterprises in an increasingly data-driven world.

What is Atono?

Atono is a product knowledge platform built for AI-native teams that want their AI tools to understand the product instead of guessing from incomplete context. The platform helps teams avoid the constant correction loop that happens when AI-generated specs, stories, and code are fast but not quite right. Atono gives both people and AI tools access to shared product knowledge through a Glossary, Living Stories, and AI Context. The Glossary captures a product’s vocabulary, terminology, personas, and relationships from team documentation so AI-generated work reflects how the product actually works. Living Stories keep decisions, feedback, implementation notes, usage analytics, and feature flags attached to the story instead of losing context in Slack, meetings, or disconnected tools. AI Context captures design decisions, technical investigations, and implementation changes directly on stories through Atono’s MCP server. This allows tools such as Cursor, Claude, Copilot, and other AI assistants to read the context before drafting specs or writing code. Atono supports a connected workflow from idea and roadmap through stories, bugs, flags, engagement, and search. Product teams can use it to create better first drafts, preserve scoping rationale, manage epics, find past decisions, and keep AI consistent across features. Engineering teams can use it to keep coding agents aligned, control releases and rollbacks from stories, review diagnostic context, and understand delivery trends through cycle time reports and visual timelines. By combining product glossary, living stories, AI context, MCP integrations, feature flags, engagement data, roadmap workflows, and cross-functional collaboration, Atono helps teams build software with the right context from plan to production.

Media

Media

Integrations Supported

Model Context Protocol (MCP)
Slack
Claude Code
Cursor
GitHub
Google Chrome
OAuth
Python
Salesforce
Snowflake

Integrations Supported

Model Context Protocol (MCP)
Slack
Claude Code
Cursor
GitHub
Google Chrome
OAuth
Python
Salesforce
Snowflake

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Version
Free Trial Offered?

Pricing Information

$19/user/month
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Prefect

Date Founded

2018

Company Location

United States

Company Website

www.prefect.io/horizon

Company Facts

Organization Name

Atono

Date Founded

2024

Company Location

United States

Company Website

atono.io

Categories and Features

Categories and Features

Agile Project Management Tools

Backlog Management
Feedback Management
Gantt/Timeline View
Kanban Board
Prioritization
Request Management
Resource Management
Retrospectives Management
Status Tracking
Supports Scrum
Team Management
Template Management
Workflow Management

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