Browse AI MCP Server for Claude Code 10 tools — connect in under 2 minutes
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.
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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.
# Your Vinkius token. get it at cloud.vinkius.com
claude mcp add browse-ai --transport http "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
* 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 orchestrate your web scraping, data extraction, and website monitoring workflows 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 Oversight — List all your approved robots and retrieve detailed metadata for each scraper.
- Task Execution — Trigger robot runs (tasks) on specific URLs and monitor their progress in real-time.
- Data Retrieval — Retrieve structured data captured by your robots directly into your workspace.
- Website Monitoring — List and create monitor schedules to track changes on any website automatically.
- Bulk Operations — Manage and inspect bulk runs to extract data from multiple sources at once.
- System Status — Check the health and queue status of the Browse AI infrastructure.
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.
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
Add the MCP Server
Run the command above in your terminal
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
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.
Single-command setup: `claude mcp add` registers the server instantly. no config files to edit or applications to restart
Terminal-native workflow means MCP tools integrate seamlessly into shell scripts, CI/CD pipelines, and automated DevOps tasks
Claude Code runs headlessly, enabling unattended batch processing using Browse AI tools in cron jobs or deployment scripts
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.
CI/CD integration: embed Browse AI tool calls in your deployment pipeline to validate configurations or fetch secrets before shipping
Headless batch processing: schedule Claude Code to query Browse AI nightly and generate reports without human intervention
Shell scripting: pipe Browse AI outputs into other CLI tools for data transformation, filtering, and aggregation
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:
create_monitor
Create a new monitor schedule for a robot
get_bulk_run
Get details of a specific bulk run
get_robot
Get details of a specific robot
get_system_status
Check Browse AI system and queue status
get_task
Get status and extracted data for a task
list_bulk_runs
List all bulk runs for a robot
list_monitors
List all monitors for a specific robot
list_robots
List all approved robots
list_tasks
List all tasks for a specific robot
run_robot
Run a robot to extract data (creates a task)
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.
"List all my approved web scraping robots."
"Run robot rob_123 on https://example.com/product."
"Retrieve the data from task task_99283."
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.
Command not found: claude
npm install -g @anthropic-ai/claude-codeConnection timeout
Browse AI + Claude Code FAQ
Common questions about integrating Browse AI MCP Server with Claude Code.
How do I add an MCP server to Claude Code?
claude mcp add --transport http "" in your terminal. Claude Code registers the server and discovers all tools immediately.Can Claude Code run MCP tools in headless mode?
How do I list all connected MCP servers?
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 with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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.