How to Use the Browse AI MCP in VS Code Copilot

Q: How do I share Browse AI tools in VS Code Copilot?

Include the server configuration in a .vscode/mcp.json file within your repository. When team members open the project, they get the same tools ready to use. It keeps the whole engineering team on the same page.

Q: Can I check my Browse AI credit usage in VS Code Copilot?

Call listcredits to see your current quota status at any time. It helps lead developers track usage across the team. You avoid hitting limits unexpectedly.

Deploy shared web scraping tools to your entire VS Code Copilot engineering team.

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Connect Browse AI MCP to VS Code Copilot

Create your Vinkius account to connect Browse AI to VS Code Copilot 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 VS Code Copilot

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Standardize Browse AI tools for VS Code Copilot

Commit an `.vscode/mcp.json` file to your repo so every team member has access to the same `run_robot` and `get_task` tools. It ensures everyone is using the same extraction logic. Your team can coordinate data gathering efforts by sharing the same tool definitions. It removes the need for individual developers to configure their own scraping scripts.

Manage team-wide scraping operations

Use `list_robots` to keep track of the organization's scraping inventory from inside the editor. It gives everyone a clear view of which sites are being targeted. `list_monitors` helps the team verify that scheduled web watches are active. You can catch configuration issues before they affect your production data pipelines.

Retrieve bulk data for VS Code Copilot

Execute `run_bulk_task` to handle large-scale data ingestion for your team's projects. It runs concurrently, so you get results back as fast as possible. Use `download_bulk_data` to pull the final JSON results into your shared environment. Your Copilot agent can then process this data to update documentation or schema definitions.

Setup guide

Set up Browse AI MCP in VS Code Copilot

Prerequisites

VS Code 1.99 or later with GitHub Copilot extension
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.
2

Add the Browse AI MCP

Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Switch to Agent mode

Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.
4

Verify the connection

In the Copilot Chat input, type # to list available tools. You should see the Browse AI tools listed. Try asking: "List my recent Browse AI transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

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

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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 VS Code Copilot

Include the server configuration in a `.vscode/mcp.json` file within your repository. When team members open the project, they get the same tools ready to use. It keeps the whole engineering team on the same page.

You can set it up globally through the MCP user configuration menu if you prefer. However, project-level config is better for team collaboration. It ensures consistency across your entire dev environment.

Call `list_credits` to see your current quota status at any time. It helps lead developers track usage across the team. You avoid hitting limits unexpectedly.

The server configuration uses your individual API token, keeping your credentials separate from the shared repo files. Your sensitive data never gets committed to version control. Everything stays under your local control.

All extracted scraping results remain within your authenticated VS Code session. Data privacy is enforced by isolating the traffic to your specific endpoint token. No external parties can intercept your information.

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