Browse AI MCP. Extract Structured Data From Any Website.
Gemini Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
Browse AI lets you scrape data from any website without writing code. It uses trained monitoring robots that crawl pages and deliver structured results automatically, letting your agent read price points, track site changes, or pull public directory lists on demand.
What your AI agents can do
Create monitor
Sets up a new schedule to automatically track changes on a specified website page.
Get robot details
Retrieves specific information about an existing web scraping robot configuration.
Get run status
Checks the real-time progress of a running or recently completed data collection task.
You can set up monitors to automatically track specific pages for changes over time.
Run a robot immediately, pointing it at any URL you specify, to grab data right now.
List all past scraping runs and view detailed logs of what was collected.
Set up instant notifications so your agent gets alerted when a scraped robot hits an event trigger.
View current credit usage and subscription status to manage your data quota.
Ask AI about this MCP
Supported MCP Clients
OAuth 2.0 Compatible Gemini Waiting for input…
Browse AI MCP: 12 Tools
These tools let your agent manage every aspect of web scraping, from listing robots to checking usage quotas.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Browse AI on Vinkius019dd0c6create monitor
Sets up a new schedule to automatically track changes on a specified website page.
019dd0c6get robot details
Retrieves specific information about an existing web scraping robot configuration.
019dd0c6get run status
Checks the real-time progress of a running or recently completed data collection task.
019dd0c6get usage quotas
Provides your current account credit balance and usage quota details.
019dd0c6get user profile
Retrieves general account information for verification purposes.
019dd0c6list active monitors
Shows a list of all currently scheduled and active monitoring jobs.
019dd0c6list bulk operations
Retrieves an overview of multiple, large-scale task runs that were executed together.
019dd0c6list robot history
Lists all past scraping jobs and their completion metadata.
019dd0c6list robot webhooks
Displays the current event configurations for webhooks attached to your robots.
019dd0c6list robots
Shows a list of every available, defined scraping robot in your account.
019dd0c6remove webhook
Deletes an existing webhook alert configuration from a specific web scraper.
019dd0c6trigger robot run
Starts an immediate, on-demand scraping task using a specified robot and URL.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Browse AI, then connect any of our 4,800+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,800+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Browse AI. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
VINKIUS INFRASTRUCTURE
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on every call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 12 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Manual web scraping takes time and requires multiple dashboards.
Right now, gathering structured data means jumping between your browser, logging into the scraper tool's dashboard, manually setting up schedules, running test tasks, and then downloading CSVs to check for errors. It’s a multi-step process that eats up hours just coordinating the extraction.
With this MCP, you talk directly to your agent. You tell it what data point—say, 'the top three product names'—you need, and it manages the entire cycle: setting up monitoring schedules, triggering the scrape, and returning clean, structured JSON results instantly.
The Browse AI MCP gives you full control over your web data lifecycle.
You eliminate the need to copy-paste URLs into a separate tool or manually check task progress. Your agent coordinates everything: it can list all available scrapers with `list_robots`, monitor which ones are active via `list_active_monitors`, and report on historical performance using `list_robot_history`.
It's not just about getting data; it’s about managing the entire process. You treat the web like a reliable, programmable API endpoint.
What you can do with this MCP connector
Need to gather information from websites but don't want to write a single line of Python? This MCP connects you directly to Browse AI’s web scraping engine. You tell your agent what data you need—say, the pricing tiers from a competitor's site or a list of available leads on a public directory.
The system handles the crawling; it monitors pages over time and structures the messy HTML into usable JSON formats that your agent can read instantly. This capability means you never have to manually log in to a dashboard just to check if a job finished or what data was scraped.
Because this MCP is hosted on Vinkius, your AI client acts like a dedicated data engineer right inside your workflow, coordinating complex tasks and managing automated monitoring schedules through simple conversation.
019dd0c6-6a81-72f2-b582-b0b21d5d705e 
How Browse AI MCP Works
- 1 First, retrieve your API key from the Browse AI dashboard.
- 2 Next, use your agent to list or create robots, defining exactly what data you want and where it lives on a website.
- 3 Finally, tell your agent to trigger a run or set up a monitoring schedule; the system executes the scrape and provides structured results.
The bottom line is that your AI client handles all the complex coordination—from setting up rules to running the jobs—without you ever leaving your current workspace.
Who Is Browse AI MCP For?
This MCP is for researchers and marketers who spend too much time switching between web browsers, internal dashboards, and spreadsheets. If checking competitor pricing or lead directories feels like a manual chore, this is for you.
Needs to instantly scrape price changes across multiple competitor sites to build automated competitive intelligence reports.
Uses the tool to automatically pull lead data from public industry directories and monitor target company websites for signs of product launches or hiring activity.
Integrates raw web scraping data into custom workflows, treating the MCP as a high-speed, no-code data pipeline source.
What Changes When You Connect
- Automated Monitoring: Set up schedules using
create_monitorto track site changes; you don't have to check pages manually—the system alerts your agent when a change happens. - Instant Results: Use
trigger_robot_runto start scraping tasks immediately. Your agent gets the data points right away, instead of waiting for a scheduled run. - Full Oversight: Keep track of everything with
list_robotsandlist_robot_history. You can see exactly what every robot is designed to collect and when it last ran. - Quota Management: Never get blocked or surprised by usage limits. Check your credit balance using
get_usage_quotasbefore running any large-scale job. - Event Coordination: Configure and manage real-time alerts via
list_robot_webhooks. This lets you build automated pipelines based on specific events, like a price drop.
Real-World Use Cases
Monitoring Competitor Price Changes
A market researcher needs to know if three key competitors changed their pricing structure overnight. Instead of checking three separate dashboards, they use the agent to create_monitor for each site. The agent then monitors all three and alerts them instantly when a price point changes.
Lead Generation from Public Directories
A growth marketer needs 50 email addresses and phone numbers from an industry directory. They tell the agent to trigger_robot_run on that specific site, telling it exactly which fields to pull, getting a structured list in minutes.
Auditing Data Pipelines
A developer needs to confirm if a large batch of data extraction tasks ran correctly. They use list_bulk_operations to see the results and then check individual failures using get_run_status.
The Tradeoffs
Trying to scrape everything at once
A user attempts to ask their agent, 'Scrape every website for prices.' This is too vague and lacks scope definition.
→
You must first use list_robots to define a specific scraper. Then, tell the agent to execute it by using trigger_robot_run and providing the exact target URL.
Assuming monitoring is automatic
A user assumes that simply knowing a site exists means data will be available without setup.
→
You need to tell the system what to watch. Use create_monitor to schedule the check, ensuring your agent knows when and where to look for changes.
Forgetting account limits
Running a massive scrape job without checking how many credits are left.
→
Always start by running get_usage_quotas. This confirms you have the necessary budget before initiating any major data collection task.
When It Fits, When It Doesn't
Use this MCP if your primary goal is gathering structured, repeatable web data. You need to pull information from websites (pricing, contact lists, news articles) without writing custom code. Don't use it if you need to analyze existing local files or process databases; for that, use a dedicated database connection tool. If you only need simple text extraction and don't care about structure, there are simpler alternatives. But if the data needs clean columns and fields—like an address block or a product name—this MCP is what you need.
Common Questions About Browse AI MCP
How do I start scraping using the trigger_robot_run tool? +
You tell your agent which robot to use and provide the target URL. The agent then sends the command to trigger_robot_run, starting the task immediately, and you get a progress ID for tracking.
What is the difference between list_robots and list_active_monitors? +
list_robots shows every scraper template you've created. list_active_monitors only shows the schedules that are currently running or waiting to run.
Can I check my credit usage before scraping with get_usage_quotas? +
Yes, calling get_usage_quotas is smart practice. It gives you a clear read on your current data quotas so you don't hit a spending limit mid-task.
How do I set up an alert for price changes using create_monitor? +
You use create_monitor to specify the URL and the frequency. The system handles the scheduling, giving you automated alerts when the content on that page shifts.
If a scraping task fails or I need to review past data, how do I use the `list_robot_history` tool? +
The list_robot_history tool fetches all previous execution logs. You can inspect the detailed metadata here to identify error codes and failure points, helping your agent pinpoint if the issue is the robot's configuration or a change on the target website.
What should I use to track an ongoing scraping job's progress in real time, like with `get_run_status`? +
The get_run_status tool provides immediate updates on any running task. It confirms whether the process is 'Running', 'Pending', or 'Finished,' allowing your agent to know exactly when it can safely retrieve the structured data.
How do I manage event notifications and alerts using `list_robot_webhooks`? +
Use list_robot_webhooks to see all active event configurations. Your agent manages these connections, letting you know exactly where your data streams are sending instant notifications. You can use the complementary tool, remove_webhook, if you ever need to delete a specific alert.
If I run several independent monitoring and scraping jobs at once, how do I view them all together with `list_bulk_operations`? +
The list_bulk_operations tool aggregates multiple task runs into one single overview. This lets your agent track the status of many different, simultaneous workflows without needing to check each job individually.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.