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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

The Apigene MCP Gateway serves as the essential runtime layer that links AI agents to APIs and MCP servers via the Model Context Protocol. By presenting agent tools, context, skills, and instructions as a unified remote MCP endpoint that is fully managed and regulated, it transforms MCP into a fully-fledged native solution rather than a mere experimental tool. Apigene offers a comprehensive agent foundation layer encapsulated within a single MCP Gateway, enabling agents to connect securely with APIs and MCP servers without the need for bespoke glue code or framework-specific adaptations. Teams can effortlessly construct AI agents using conversational interfaces, specifying which APIs and MCP servers the agents can access, outlining their reasoning processes, and dictating their actions—all without writing code. Additionally, it features intelligent tool selection that effectively pairs the appropriate API or MCP tool with each request, while also allowing for multi-platform deployment across numerous environments, including ChatGPT, Claude, Cursor, Gemini, VS Code, internal copilots, enterprise AI systems, and custom applications. This powerful integration streamlines the development process, making it easier for teams to leverage AI in their projects.

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.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Cursor Yes 
Model Context Protocol (MCP) Yes 
Amplitude Yes 
Apify Yes 
Asana Yes 
Astro Yes 
Atlassian Clover Yes 
Attio Yes 
BambooHR Yes 
Calendly Yes 
Claude Yes 
Claude Code No 
Gemini Yes 
Google Chrome No 
HubSpot CRM Yes 
LangGraph Yes 
Notion Yes 
Slack No 
Visual Studio Code Yes 
v0 Yes 

Integrations

Cursor Yes 
Model Context Protocol (MCP) Yes 
Amplitude No 
Apify No 
Asana No 
Astro No 
Atlassian Clover No 
Attio No 
BambooHR No 
Calendly No 
Claude No 
Claude Code Yes 
Gemini No 
Google Chrome Yes 
HubSpot CRM No 
LangGraph No 
Notion No 
Slack Yes 
Visual Studio Code No 
v0 No 

Pricing Details

$200 per month
Free Trial No 
Free Version No 

Pricing Details

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

Deployment

Web-Based Yes 
On-Premises Yes 
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) No 
Online Support Yes 

Customer Support

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

Types of Training

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

Types of Training

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

Vendor Details

Company Name

Apigene

Founded

2024

Country

United States

Website

apigene.ai/

Vendor Details

Company Name

Atono

Founded

2024

Country

United States

Website

atono.io

Product Features

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 

Alternatives

Alternatives