How to Use the Browse AI MCP in Claude Code

Q: How do I configure the Browse AI MCP Server in Claude Code?

Run the command claude mcp add --transport http browse-ai -- VinkiusURL. This adds the server to your /.claude.json configuration file, allowing the CLI agent to access your scraping tools immediately.

Q: How do I inspect Browse AI scraper configurations in Claude Code?

Ask Claude Code to run getrobot with your robot ID. The CLI agent will display the full schema and target settings directly in your terminal output.

Q: Can Claude Code track active Browse AI web monitors?

Yes, Claude Code uses listmonitors to output a list of your scheduled web monitoring tasks. You can quickly see which sites are being monitored for changes without leaving your terminal.

Trigger Browse AI robots and extract bulk web datasets directly from your Claude Code terminal.

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Connect Browse AI MCP to Claude Code

Create your Vinkius account to connect Browse AI to Claude Code and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Browse AI with Claude Code

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Trigger Browse AI scrapers directly from Claude Code

The `run_robot` tool lets you trigger web scraping tasks directly from your terminal session using Claude Code. The CLI agent kicks off the task, tracks its progress via `get_task`, and outputs the raw execution details. Because Claude Code operates entirely in the terminal, you can pipe the output of `get_task_data` into other CLI utilities like jq or grep. This turns your terminal-only agent into a fast, scriptable interface for Browse AI.

Pipe bulk scraping runs into local shell environments

The `run_bulk_task` tool runs scraper robots across multiple source URLs in parallel directly from your shell. Claude Code monitors the active scraping queue using `get_bulk_task` and returns progress updates in real-time. Once completed, Claude Code uses `download_bulk_data` to dump the extracted JSON directly into your terminal stdout. This allows you to easily redirect the web scraping data into local text files or database upload scripts.

Manage Browse AI MCP Server limits from your terminal

The `list_credits` tool gives Claude Code instant visibility into your Browse AI credit balance and usage patterns. This lets you check your remaining scraper quota before running heavy bulk extraction scripts in your CI/CD pipelines. To inspect your active scrapers, Claude Code uses `list_robots` and `list_monitors` to output active configurations. You can quickly audit your entire scraping setup without opening a web browser.

Setup guide

Set up Browse AI MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see browse-ai-1-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest Browse AI transactions." It will automatically discover and invoke the available Browse AI tools.

Terminal

claude mcp add --transport http browse-ai-1-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

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Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the Browse AI MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

{
  "mcpServers": {
    "browse-ai-1-mcp": {
      "type": "url",
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

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.

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Common questions about Browse AI MCP in Claude Code

Run the command `claude mcp add --transport http browse-ai -- [Vinkius_URL]`. This adds the server to your ~/.claude.json configuration file, allowing the CLI agent to access your scraping tools immediately.

Yes, you can command Claude Code to read an input file containing URLs, trigger a bulk run using `run_bulk_task`, and monitor it with `get_bulk_task`. It will download the final dataset using `download_bulk_data` directly to your terminal.

Ask Claude Code to run `get_robot` with your robot ID. The CLI agent will display the full schema and target settings directly in your terminal output.

Yes, Claude Code uses `list_monitors` to output a list of your scheduled web monitoring tasks. You can quickly see which sites are being monitored for changes without leaving your terminal.

Your Browse AI API credentials and scraped web data are processed strictly through the Vinkius sandbox. Claude Code accesses your extraction results locally, ensuring your raw scraped payloads are never exposed to public networks.

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