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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Atono is a product knowledge and workflow platform designed to help AI tools, product teams, and engineering teams work from the same product context. The platform addresses the problem of AI-generated specs, stories, and code being close but inaccurate because the AI lacks product-specific terminology, decisions, and implementation history. Atono builds product knowledge through three layers: a Glossary, Living Stories, and AI Context. The Glossary captures the product’s vocabulary, concepts, personas, and relationships from existing documentation so AI tools use the right terminology. Living Stories keep decisions, feedback, implementation notes, usage analytics, and feature flags attached to each story as the product evolves. AI Context captures design decisions, technical investigations, and implementation changes through Atono’s MCP server so tools like Cursor, Claude, and Copilot can continue from prior sessions. Teams can use Atono to plan, build, deploy, and measure work from the same story while keeping requirements, code context, release controls, and engagement data connected. The platform can operate as an intelligence layer alongside Jira, Linear, or an existing stack, or as a full platform that replaces project management, feature flag, and analytics tools. By combining product knowledge, AI context, stories, feature flags, analytics, MCP integrations, and cross-functional workflows, Atono helps teams make AI output more accurate and product work more connected.

Description

Storm MCP serves as an advanced gateway centered on the Model Context Protocol (MCP), facilitating seamless connections between AI applications and multiple verified MCP servers through a straightforward one-click deployment process. It ensures robust enterprise-level security, enhanced observability, and easy integration of tools without the need for extensive custom development. By standardizing AI connections and only exposing specific tools from each MCP server, it helps minimize token consumption and optimizes the selection of model tools. With its Lightning deployment feature, users can access over 30 secure MCP servers, while Storm efficiently manages OAuth-based access, comprehensive usage logs, rate limitations, and monitoring. This innovative solution is crafted to connect AI agents to external context sources securely, allowing developers to sidestep the complexities of building and maintaining their own MCP servers. Tailored for AI agent developers, workflow creators, and independent innovators, Storm MCP stands out as a flexible and configurable API gateway, simplifying infrastructure challenges while delivering dependable context for diverse applications. Its unique capabilities make it an essential tool for those looking to enhance their AI integration experience.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Cursor Yes 
Model Context Protocol (MCP) Yes 
Slack Yes 
Atlassian Clover No 
Claude No 
Claude Code Yes 
GitHub No 
Google Chrome Yes 
Grafana Cloud No 
HubSpot CRM No 
LaunchDarkly No 
Microsoft 365 No 
MongoDB No 
Notion No 
OAuth No 
Supabase No 
Terraform No 
Twilio No 
Visual Studio Code No 

Integrations

Cursor Yes 
Model Context Protocol (MCP) Yes 
Slack Yes 
Atlassian Clover Yes 
Claude Yes 
Claude Code No 
GitHub Yes 
Google Chrome No 
Grafana Cloud Yes 
HubSpot CRM Yes 
LaunchDarkly Yes 
Microsoft 365 Yes 
MongoDB Yes 
Notion Yes 
OAuth Yes 
Supabase Yes 
Terraform Yes 
Twilio Yes 
Visual Studio Code Yes 

Pricing Details

$19/user/month
Free Trial No 
Free Version Yes 

Pricing Details

$29 per month
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Atono

Founded

2024

Country

United States

Website

atono.io

Vendor Details

Company Name

Storm MCP

Country

United States

Website

stormmcp.ai/

Product Features

Agile Project Management Tools

Backlog Management No 
Feedback Management No 
Gantt/Timeline View No 
Kanban Board No 
Prioritization No 
Request Management No 
Resource Management No 
Retrospectives Management No 
Status Tracking No 
Supports Scrum No 
Team Management No 
Template Management No 
Workflow Management No 

Product Features

Alternatives

Alternatives

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