5 Integrations with Atono

View a list of Atono integrations and software that integrates with Atono below. Compare the best Atono integrations as well as features, ratings, user reviews, and pricing of software that integrates with Atono. Here are the current Atono integrations in 2026:

  • 1
    Claude Code

    Claude Code

    Anthropic

    Claude Code is an AI-powered coding agent designed to work directly inside your existing development environment. It goes beyond simple autocomplete by understanding entire codebases and helping developers build, debug, refactor, and ship features faster. Developers can interact with Claude Code from the terminal, IDEs, Slack, or the web, making it easy to stay in flow without switching tools. By describing tasks in natural language, users can let Claude handle code exploration, modifications, and explanations. Claude Code can analyze project structure, dependencies, and architecture to onboard developers quickly. It integrates with common command-line tools, version control systems, and testing workflows. This makes it a powerful companion for both individual developers and teams working on complex software projects.
    Starting Price: $20/month
  • 2
    Slack

    Slack

    Salesforce

    Slack is a work collaboration platform that brings people, apps, data, and AI agents together in one shared workspace. It helps teams communicate through channels, direct messages, huddles, Slack Connect, files, canvases, lists, workflows, and integrations. The platform includes Slackbot, a context-aware AI agent that can summarize conversations, search across messages and files, prepare users for meetings, analyze documents, and help complete tasks without leaving Slack. Slack also supports connected apps such as Salesforce, Google Drive, GitHub, Zoom, Asana, Box, Workday, ChatGPT, and many others. Teams can use Workflow Builder to automate stand-ups, project updates, approvals, notifications, and routine business processes. With enterprise search, AI assistance, secure collaboration, and a large integration ecosystem, Slack helps organizations stay aligned, move faster, and reduce work scattered across disconnected tools.
    Leader badge
    Starting Price: $8.75/user/month
  • 3
    Google Chrome
    Google Chrome is a fast, secure, and user-friendly web browser designed to help people get more done online. Built by Google, Chrome combines speed, performance, and simplicity across desktop and mobile devices. The browser includes built-in AI features like Gemini in Chrome, which helps users understand content, manage tasks, and work more efficiently directly from their tabs. Chrome integrates powerful tools such as Google Search, Google Lens, and autofill to streamline everyday browsing. Advanced security features like Safe Browsing, Password Manager, and Safety Check help protect users from threats and keep data secure. Chrome syncs seamlessly across devices, allowing access to bookmarks, passwords, and tabs anywhere. With frequent automatic updates, Chrome stays optimized with the latest features and performance improvements.
    Leader badge
    Starting Price: Free
  • 4
    Cursor

    Cursor

    Cursor

    Cursor is an AI coding agent and development platform for building ambitious software faster. The platform lets developers hand off tasks to agents that can build, test, demo, and prepare features for review. Cursor supports autonomous and parallel agent workflows, including cloud agents that can work on multiple tasks across repositories. It runs across the editor, terminal, Slack, and GitHub, helping teams automate coding, code review, PR workflows, and repetitive engineering work. Cursor also lets users choose from leading AI models for different tasks, including models from OpenAI, Anthropic, Gemini, SpaceXAI, and Cursor. Built for developers, engineering teams, and enterprises, Cursor helps accelerate software development while keeping humans focused on decisions and review.
    Starting Price: $20/month
  • 5
    Model Context Protocol (MCP)
    Model Context Protocol (MCP) is an open protocol designed to standardize how applications provide context to large language models (LLMs). It acts as a universal connector, similar to a USB-C port, allowing LLMs to seamlessly integrate with various data sources and tools. MCP supports a client-server architecture, enabling programs (clients) to interact with lightweight servers that expose specific capabilities. With growing pre-built integrations and flexibility to switch between LLM vendors, MCP helps users build complex workflows and AI agents while ensuring secure data management within their infrastructure.
    Starting Price: Free
  • Previous
  • You're on page 1
  • Next