Browse AI MCP. Automate Web Scraping and Data Monitoring.
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 connects to any agent, letting you run web scraping robots and monitor websites entirely through natural conversation. It extracts structured data, initiates bulk downloads from multiple sources, and tracks changes on target pages without manual dashboard interaction.
What your AI agents can do
Download bulk data
Downloads all extracted results from a previous bulk data run as a single JSON array.
Get bulk task
Checks the current execution status of any large, multi-URL scraping job.
Get robot
Retrieves detailed configuration settings for a specific web scraping robot.
See a full list of all trained scraping and monitoring workflows configured in your account.
Run any specific robot on a target URL to extract data immediately.
Initiate concurrent extractions across multiple URLs at once and retrieve the unified dataset.
Check the status of active web monitors to see if targeted pages have changed since the last check.
Download the final, structured JSON output from a completed scraping or bulk task.
Review your current API credit consumption and monthly plan quota.
Ask AI about this MCP
Supported MCP Clients
OAuth 2.0 Compatible Gemini Waiting for input…
Browse AI: 10 Tools for Web Extraction
These tools let you manage the entire lifecycle of a web scrape—from listing available robots to running massive bulk jobs and downloading the final data.
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 Vinkius019d7564download bulk data
Downloads all extracted results from a previous bulk data run as a single JSON array.
019d7564get bulk task
Checks the current execution status of any large, multi-URL scraping job.
019d7564get robot
Retrieves detailed configuration settings for a specific web scraping robot.
019d7564get task
Checks the status of any single, targeted data extraction job.
019d7564get task data
Retrieves the final structured JSON output from a successful individual task run.
019d7564list credits
Checks your current Browse AI API usage and available credit limits.
019d7564list monitors
Lists all active web monitoring robots that run on a scheduled interval to detect page changes.
019d7564list robots
Provides a full inventory of every trained extraction and monitoring robot in your account.
019d7564run bulk task
Executes a scraping robot across multiple target URLs concurrently in one job.
019d7564run robot
Triggers a single web scraping robot to extract data from an initial target page.
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 10 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
The Pain of Manual Web Data Collection
Right now, getting competitive intelligence means opening ten browser tabs. You run the scraper, wait for it to finish, then manually navigate back to a dashboard to download the results as CSVs. Then you have to open Excel and copy-paste all those columns into one master sheet.
With this MCP, your agent handles the entire process in the background. It manages the scrapers, runs bulk extractions across dozens of pages, and delivers only the final, clean JSON payload directly to your workflow.
Structured Data Retrieval
You don't have to copy data from multiple tabs anymore. Instead of manual downloads, you can tell your agent to use `get_task_data` to retrieve the exact JSON payload for a completed job.
What changes is that you receive structured, machine-readable data directly into your workflow context, making it immediately usable for analysis or further automation.
What you can do with this MCP connector
This MCP gives your agent full control over complex web data extraction. You can manage entire scraping operations—from discovering available monitoring robots to executing large-scale, concurrent extractions across dozens of URLs. It’s built for people who need massive datasets instantly, not just quick glances at a single page.
The platform handles the heavy lifting and security details; your keys pass through a zero-trust proxy, so they never sit on disk. When you combine this MCP with other services in the Vinkius catalog—say, chaining it to a messaging service to alert stakeholders when competitor prices change—you build real, end-to-end pipelines.
You don't have to manually check status pages or download CSVs every night. Your agent runs the entire process and feeds you only the clean, structured JSON data you need.
019d7564-459b-71de-ac71-9ac4aabb33f2 
How Browse AI MCP Works
- 1 Subscribe to this MCP and enter your Browse AI Secret API Key.
- 2 Ask your agent to run a task, specifying the robot name and target URL(s).
- 3 The agent checks the status of the task and retrieves the final JSON data when the job finishes.
The bottom line is: you tell your agent what data you want from the web; it handles the connection, scraping, and delivery of structured results.
Who Is Browse AI MCP For?
Data analysts, SEO specialists, market researchers. These are people who spend hours clicking through dashboards just to copy a few numbers. They need reliable pipelines for massive data retrieval.
Runs competitor price trackers on schedules across multiple URLs to generate instant, actionable market reports.
Extracts complex metrics from industry websites without having to open and manually navigate third-party dashboards.
Pulls massive, structured datasets from completed bulk tasks directly into their agent for immediate analysis or modeling.
What Changes When You Connect
- Bulk data download is simple. Use
download_bulk_datato pull all results from a finished run in one go, eliminating multiple manual downloads. - Don't wait for the scraping to finish. Check progress instantly using
get_taskorget_bulk_task, allowing your agent to report status while waiting. - Monitor pages automatically with
list_monitors. Your agent can track competitor price changes without you ever having to visit the website. - Discover what's available by running
list_robots. It gives you a full inventory of all scraping workflows ready to run. - Track your spend before committing. Run
list_creditsto see exactly how many API credits you've used this month.
Real-World Use Cases
Tracking Competitor Pricing
A marketer needs to know if three key competitors changed their prices across five product pages. They run a specific robot using run_robot on each URL, and then use get_task_data once all tasks are complete to get the structured JSON for comparison.
Academic Literature Review
A researcher needs data from 50 different journal index pages. They set up a multi-URL scraping job using run_bulk_task, and when finished, they download all the combined results with download_bulk_data for analysis.
Maintaining an Internal Dashboard
An operations engineer wants to know if a key regulatory page has updated its terms of service. They use list_monitors and then check the status via get_task to confirm any changes were detected.
The Tradeoffs
Checking data manually
A user runs a scrape, then waits 30 minutes. They have to click into the dashboard and copy/paste results from multiple tabs.
→
Instead of manual checking, use get_task to wait for completion, and once done, call get_task_data to receive the clean JSON directly into your agent.
Running tasks one at a time
The user runs 10 different URLs in separate sessions, wasting time on redundant setup steps.
→
Group those ten targets and use run_bulk_task to run the entire set of extractions concurrently with one command.
Ignoring usage limits
The agent fails mid-process because the user ran out of credits, leaving no idea why the data is incomplete.
→
Always check list_credits before starting a large job. This prevents failures and gives you visibility into your budget.
When It Fits, When It Doesn't
Use this MCP if your goal is to extract structured, repeatable data from web pages that aren't designed for programmatic access (i.e., they live behind a browser interface). You must use it when the output needs to be JSON or a clean dataset ready for processing.
Don't use this if you need real-time interaction, like filling out a dynamic checkout form or clicking buttons that require human judgment. For those cases, you'll need dedicated automation tools. If your goal is simply to monitor a single API endpoint that provides structured data via JSON feed, an RSS reader might be simpler than running run_robot.
Common Questions About Browse AI MCP
How do I scrape data from multiple URLs using the run_robot tool? +
You don't use run_robot for many pages. Use run_bulk_task instead, which is designed to run your robot across a list of origins concurrently.
What does get_task_data do if the task failed? +
It will return an error status instead of data. You should check get_task first to see why the job failed before attempting to retrieve data.
Can I monitor a page for changes using list_monitors? +
Yes, list_monitors shows you all active monitoring robots. These run on a schedule and automatically detect when target pages are updated or changed.
Is download_bulk_data the right tool for my finished scrape? +
Yes. Use it after running many tasks; this function consolidates all results from a completed bulk job into one single, unified dataset.
How do I use the list_robots tool to see all my available scraping workflows? +
It lists every extraction and monitoring robot you have set up. You can then use get_robot to pull specific details on a workflow, confirming that its configuration matches what you need before running it.
If I run a scrape job, how do I use the get_task tool to check its status? +
It gives you real-time status updates for any specific task ID. You'll see if the process is queued, currently running, or finished, which is essential when debugging a stalled extraction.
Before I run a massive scraping job, how do I use list_credits to check my API limits? +
This tool shows your current quota and remaining API credits. Checking this first prevents you from hitting unexpected usage limits when running large data pulls.
What is the difference between run_robot and run_bulk_task for different types of scraping? +
run_robot executes a single robot on one target URL, while run_bulk_task runs that same robot concurrently across an entire list of multiple URLs.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.