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Browse AI MCP Server for Claude Code 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools CLI

Claude Code is Anthropic's agentic CLI for terminal-first development. Add Browse AI as an MCP server in one command and Claude Code will discover every tool at runtime. ideal for automation pipelines, CI/CD integration, and headless workflows via Vinkius.

Vinkius supports streamable HTTP and SSE.

RecommendedModern Approach — Zero Configuration

Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install Browse AI and 2,500+ MCP Servers from a single visual interface.

Vinkius Desktop InterfaceVinkius Desktop InterfaceVinkius Desktop InterfaceVinkius Desktop Interface
Download Free Open SourceNo signup required
Classic Setup·bash
# Your Vinkius token. get it at cloud.vinkius.com
claude mcp add browse-ai-1 --transport http "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
Browse AI
Fully ManagedVinkius Servers
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High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
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Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Browse AI MCP Server

Connect your Browse AI account to any AI agent and take full control of your no-code web scraping operations through natural conversation.

Claude Code registers Browse AI as an MCP server in a single terminal command. Once connected, Claude Code discovers all 10 tools at runtime and can call them headlessly. ideal for CI/CD pipelines, cron jobs, and automated workflows where Browse AI data drives decisions without human intervention.

What you can do

  • Robot Discovery — List all your trained extraction and monitoring robots along with their configuration details
  • Execute Scrapes — Trigger specific robots to run tasks on target URLs without lifting a finger
  • Data Retrieval — Instantly download the final extracted JSON data from any successfully completed task
  • Bulk Operations — Initiate multi-URL concurrent extractions and download the unified bulk datasets
  • Monitor Sync — Check the status of your active web change monitors
  • Quota Management — Retrieve your current API credits usage and monthly plan limits

The Browse AI MCP Server exposes 10 tools through the Vinkius. Connect it to Claude Code in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Browse AI to Claude Code via MCP

Follow these steps to integrate the Browse AI MCP Server with Claude Code.

01

Install Claude Code

Run npm install -g @anthropic-ai/claude-code if not already installed

02

Add the MCP Server

Run the command above in your terminal

03

Verify the connection

Run claude mcp to list connected servers, or type /mcp inside a session

04

Start using Browse AI

Ask Claude: "Using Browse AI, show me...". 10 tools are ready

Why Use Claude Code with the Browse AI MCP Server

Claude Code provides unique advantages when paired with Browse AI through the Model Context Protocol.

01

Single-command setup: `claude mcp add` registers the server instantly. no config files to edit or applications to restart

02

Terminal-native workflow means MCP tools integrate seamlessly into shell scripts, CI/CD pipelines, and automated DevOps tasks

03

Claude Code runs headlessly, enabling unattended batch processing using Browse AI tools in cron jobs or deployment scripts

04

Built by the same team that created the MCP protocol, ensuring first-class compatibility and the fastest adoption of new protocol features

Browse AI + Claude Code Use Cases

Practical scenarios where Claude Code combined with the Browse AI MCP Server delivers measurable value.

01

CI/CD integration: embed Browse AI tool calls in your deployment pipeline to validate configurations or fetch secrets before shipping

02

Headless batch processing: schedule Claude Code to query Browse AI nightly and generate reports without human intervention

03

Shell scripting: pipe Browse AI outputs into other CLI tools for data transformation, filtering, and aggregation

04

Infrastructure monitoring: run Claude Code in a cron job to query Browse AI status endpoints and alert on anomalies

Browse AI MCP Tools for Claude Code (10)

These 10 tools become available when you connect Browse AI to Claude Code via MCP:

01

download_bulk_data

Returns a JSON array where each element contains the capturedData from one task. Download all extracted results from a completed Browse AI bulk run

02

get_bulk_task

Get bulk task execution status from Browse AI

03

get_robot

Get detailed configuration of a specific Browse AI robot

04

get_task

Check the status of a specific Browse AI extraction task

05

get_task_data

Only meaningful when the task status is "successful". Fields match the column names configured in the Browse AI robot builder hitting internal task references. Retrieve the final extracted JSON data from a successful Browse AI task

06

list_credits

Check Browse AI quota limits and credit usage

07

list_monitors

Monitors run on scheduled intervals to detect changes on target web pages and trigger notifications or data captures automatically via `/monitors`. List all active Browse AI web monitoring robots

08

list_robots

Each robot represents a no-code AI scraping workflow targeting a specific website or data pattern via `GET /robots`. List all Browse AI extraction and monitoring robots

09

run_bulk_task

Each set typically contains a different "originUrl". All extractions run concurrently on Browse AI infrastructure. Run a Browse AI robot in bulk mode across multiple URLs

10

run_robot

Pass a JSON string of input parameters (typically including "originUrl" for the target page and any variable fields the robot expects). Returns a taskId. Trigger a Browse AI robot to extract data from a target URL

Example Prompts for Browse AI in Claude Code

Ready-to-use prompts you can give your Claude Code agent to start working with Browse AI immediately.

01

"List all my robots. Which ones are built for monitoring?"

02

"Run my HackerNews Scraper robot on the main page."

03

"Retrieve the JSON data for task t-78ab31."

Troubleshooting Browse AI MCP Server with Claude Code

Common issues when connecting Browse AI to Claude Code through the Vinkius, and how to resolve them.

01

Command not found: claude

Ensure Claude Code is installed globally: npm install -g @anthropic-ai/claude-code
02

Connection timeout

Check your internet connection and verify the Edge URL is reachable

Browse AI + Claude Code FAQ

Common questions about integrating Browse AI MCP Server with Claude Code.

01

How do I add an MCP server to Claude Code?

Run claude mcp add --transport http "" in your terminal. Claude Code registers the server and discovers all tools immediately.
02

Can Claude Code run MCP tools in headless mode?

Yes. Claude Code supports non-interactive execution, making it ideal for scripts, cron jobs, and CI/CD pipelines that need MCP tool access.
03

How do I list all connected MCP servers?

Run claude mcp in your terminal to see all registered servers and their status, or type /mcp inside an active Claude Code session.

Connect Browse AI to Claude Code

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.