Browserbear MCP Server for Cursor 10 tools — connect in under 2 minutes
Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.
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{
"mcpServers": {
"browserbear": {
"url": "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 Browserbear MCP Server
Connect your Browserbear (Roborabbit) account to any AI agent and orchestrate your browser automation, web scraping, and visual monitoring workflows through natural conversation.
Cursor's Agent mode turns Browserbear into an in-editor superpower. Ask Cursor to generate code using live data from Browserbear and it fetches, processes, and writes. all in a single agentic loop. 10 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
What you can do
- Task Oversight — List and retrieve detailed metadata for all your saved browser automation tasks.
- Automation Execution — Trigger task runs with dynamic overrides (like URL or form data) and monitor their progress.
- Visual Captures — Take high-quality screenshots of any URL with customizable dimensions and wait times.
- Data Extraction — Retrieve scraped structured data and screenshot URLs directly into your workspace.
- Run Management — List, inspect, and delete history of your automation runs.
- Project Coordination — Access and organize your tasks across multiple projects and track account usage.
The Browserbear MCP Server exposes 10 tools through the Vinkius. Connect it to Cursor 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 Browserbear to Cursor via MCP
Follow these steps to integrate the Browserbear MCP Server with Cursor.
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
Save the file
Cursor will automatically detect the new MCP server
Start using Browserbear
Open Agent mode in chat and ask: "Using Browserbear, help me...". 10 tools available
Why Use Cursor with the Browserbear MCP Server
Cursor AI Code Editor provides unique advantages when paired with Browserbear through the Model Context Protocol.
Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards
MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools
Browserbear + Cursor Use Cases
Practical scenarios where Cursor combined with the Browserbear MCP Server delivers measurable value.
Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP
Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically
Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates
Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data
Browserbear MCP Tools for Cursor (10)
These 10 tools become available when you connect Browserbear to Cursor via MCP:
create_task
Create a new browser automation task
delete_run
Delete a task run record
get_account_usage
Retrieve account usage statistics
get_run
Get status and results of a task run
get_task
Get details of a specific task
list_projects
List all projects in the account
list_runs
List all task runs
list_tasks
List all browser automation tasks
run_task
Trigger a run for a specific task
take_screenshot
Take a quick screenshot of a URL
Example Prompts for Browserbear in Cursor
Ready-to-use prompts you can give your Cursor agent to start working with Browserbear immediately.
"List all my browser automation tasks."
"Take a screenshot of https://vinkius.com at 1280x800 resolution."
"Run task task_123 and override the starting URL to https://google.com."
Troubleshooting Browserbear MCP Server with Cursor
Common issues when connecting Browserbear to Cursor through the Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
Browserbear + Cursor FAQ
Common questions about integrating Browserbear MCP Server with Cursor.
What is Agent mode and why does it matter for MCP?
Where does Cursor store MCP configuration?
mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.Can Cursor use MCP tools in inline edits?
How do I verify MCP tools are loaded?
Connect Browserbear with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Python SDK for building production-grade OpenAI agent workflows.
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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 Browserbear to Cursor
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
