# Browserbear MCP for AI Agents MCP > Browserbear lets your AI agent handle complex browser tasks. It automates web scraping, runs visual monitoring checks, and executes multi-step workflows—all from natural conversation. You don't need to log into a dashboard; just tell your agent what to scrape or check. ## Overview - **Category:** productivity - **Price:** Free - **Tags:** visual-monitoring, web-scraping, automation-tasks, screenshot-capture, form-automation, no-code ## Description Stop clicking through dashboards to monitor websites or gather data. This MCP connects your browser automation capabilities directly to your AI client. Now, you can use natural language instructions to orchestrate complex web scraping jobs and visual checks without ever leaving your chat window. Need to test if a login form broke? Just ask. Want to scrape product prices across ten competitor sites? Tell your agent. You get immediate access to all these powerful features through the Vinkius catalog, making it easier than ever to manage advanced automation from any MCP-compatible client. It's about running multi-step actions—like logging in, navigating three different pages, and then extracting specific data points—all via simple conversation. ## Tools ### create_task Saves a new multi-step automation sequence that can be run later by the AI agent. ### delete_run Removes records of completed task runs from your history for cleanup. ### get_run Retrieves the current status and final results of a specific, running automation job. ### get_task Fetches all detailed metadata for one particular saved browser task. ### get_account_usage Checks and returns your current account usage statistics against established limits. ### list_projects Displays a list of all separate projects you have set up within the system. ### list_runs Gets a complete, paginated list of every recorded task run in your history. ### list_tasks Provides an overview and names of all saved browser automation tasks across all projects. ### run_task Initiates a run for a specified task, allowing you to override parameters like the target URL. ### take_screenshot Captures and returns an image of any given website URL at specific dimensions. ## Prompt Examples **Prompt:** ``` I need a screenshot of our homepage right now, but I want it at 1920x1080 resolution. ``` **Response:** ``` **Screenshot Run Initiated** * **Target URL:** `https://mycompany.com/` * **Dimensions:** 1920x1080 pixels * **Status:** Processing... ✅ **Complete!** The image is ready for review and attached below. Let me know if you need a different crop. ``` **Prompt:** ``` Can you list all the tasks we have set up? I want to check on our scraping workflow. ``` **Response:** ``` **Browser Automation Tasks Found:** * **Daily News Scraper:** (ID: task_1) — *Description:* Scrapes 5 articles from three major sources. **Last Run:** Yesterday. * **Visual Check:** (ID: task_2) — *Description:* Takes screenshot of the checkout page. **Status:** Ready to run. * **Login Flow:** (ID: task_3) — *Description:* Simulates user login and checks for success message. ``` **Prompt:** ``` Run the Visual Check task, but change the target URL to our staging environment instead. ``` **Response:** ``` **Task Run Triggered!** ✅ **Confirmation:** Running 'Visual Check' (ID: task_2) with a dynamic override. * **New Target URL:** `https://staging.mycompany.com/` * **Monitoring Status:** Active... The agent is now capturing the view and will notify you when the results are ready. ``` ## Capabilities ### List available automation workflows Retrieves a list of all saved browser automation tasks, giving you an overview of what the system can run. ### Create new automation tasks Saves a multi-step process that your AI agent will execute later on demand. ### Execute and customize task runs Triggers a specific saved task, allowing you to override parameters like the starting URL or form data for unique tests. ### Capture current web view visuals Takes an immediate screenshot of any given URL at customizable dimensions for quick visual validation. ### Monitor job status and history Checks the real-time progress of a running task or lists all completed automation runs for auditing purposes. ## Use Cases ### Detecting broken user flows A QA Engineer notices the checkout button isn't appearing on mobile. They tell their agent, 'Take a screenshot of the cart page at 400x600.' The agent runs the task and returns an image, confirming the visual bug instantly. ### Competitor price tracking A Marketing Manager needs to know if their top competitor changed pricing. They ask their agent to 'Run task' on a list of product pages, scraping the visible price for comparison across multiple sites in one go. ### Auditing website performance An engineer wants to see how a page looks after a major site redesign. They ask their agent to 'list_tasks' to select the visual check and run it, comparing the current output against saved historical screenshots. ### Lead generation from niche sites A user needs contact info for industry professionals. They instruct their agent to 'run task' on a specific directory site, overriding parameters to search by city, and scrape the resulting emails into a structured list. ## Benefits - Run multi-step tasks with full control. You can trigger a specific task, like 'Login Flow,' and dynamically override the starting URL or form data without manually accessing the dashboard. - Get instant visuals of any page. Instead of writing code to capture screenshots, you simply ask your agent to 'Take a screenshot' of a URL and get high-quality images back immediately. - Manage complexity with structure. You can use tools like 'list_tasks' to see all saved workflows, letting you build up complex testing sequences piece by piece using natural language. - Maintain full visibility into your work. Use the run history functions (like 'list_runs') to track every job executed and get detailed metadata about past automation attempts. - Save time on data collection. Rather than manually visiting multiple competitor sites, you can instruct your agent to scrape specific structured data points across a list of URLs. ## How It Works The bottom line is that you use plain conversation to manage sophisticated browser automation jobs without needing manual API calls or dashboard logins. 1. First, subscribe to this MCP and provide your Browserbear API Key. 2. Next, tell your AI client what you want to accomplish—for example, 'Take a screenshot of X URL at 1280x800' or 'Run task Y'. 3. Your agent executes the command, monitors the web action, and returns the resulting data, list, or visual confirmation. ## Frequently Asked Questions **How does Browserbear MCP help me scrape data from complex websites?** This MCP allows your AI agent to run sophisticated web scraping jobs. You just tell it what data you need, and the agent executes the multi-step process—like logging in or navigating through several pages—to gather the structured information. **Can Browserbear MCP check if my website design broke after an update?** Yes. You can use this MCP to take high-quality screenshots of specific URLs and compare them against previous versions, instantly spotting visual bugs or layout shifts that happened during a redesign. **I'm a QA Engineer; is Browserbear MCP good for visual testing?** It’s excellent. Instead of manually running tests on a dashboard, you can ask your agent to trigger the test run and get immediate status updates and visual confirmation right in your chat interface. **What if I need to scrape data from different sources? Does Browserbear MCP support that?** Absolutely. You build a sequence of tasks—for example, scraping three different competitor sites—and the agent runs them one after another, compiling all the results into one organized output for you. **Does using Browserbear MCP require me to write any code?** No. The entire process is managed through natural language conversation with your AI client. You just describe what needs to happen, and the agent handles the complex web interactions in the background.