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Yutori Slack integration for your AI agent

Integrate Yutori MCP server into your Slack workspace for instant access to your AI agent.

Build with Yutori’s state-of-the-art web agents that can autonomously monitor and execute tasks on the web.

Or, book a demo
Documentation

Categories

Artificial Intelligence (AI)

Available Tools

Tools that your AI agent can use through this MCP server to interact with Yutori

  • Run Research Task

    Use Yutori to run deep web research across 100+ sources and get a comprehensive findings report — competitive analysis, market research, pricing comparisons, and more. Returns a task ID immediately; provide a Webhook URL to receive the full findings the moment research completes. See the documentation

  • Run Browsing Task

    Use Yutori's cloud browser agent to navigate a website, fill forms, extract data, or complete any multi-step task — just describe it in plain English. Returns a task ID immediately; provide a Webhook URL to receive the full result the moment the task finishes. See the documentation

  • Get Scout

    Fetch the details and current status of a specific Yutori Scout by its ID. Returns the scout's configuration, status (active, paused, completed), and metadata. See the documentation

  • Get Scout Updates

    Fetch the latest findings from a specific Yutori Scout. Returns updates in reverse chronological order. Use the New Scout Update trigger for event-driven workflows; use this action when you need to pull findings on demand. See the documentation

  • Get Research Task Result

    Fetch the current status and result of a research task started with Run Research Task. Place a Delay step (15 minutes recommended) before this action to give the task time to complete. Research tasks typically take 5–15 minutes. If the task is still running, the step returns the current status — re-run or increase the delay if needed. See the documentation

  • Get Browsing Task Result

    Fetch the current status and result of a browsing task started with Run Browsing Task. Place a Delay step (15 minutes recommended) before this action to give the task time to complete. If the task is still running, the step returns the current status — re-run or increase the delay if needed. See the documentation