How to Use the DBeaver (CloudBeaver) MCP in VS Code Copilot
Manage database connections and export query results directly inside VS Code Copilot.
Works with every AI agent you already use
…and any MCP-compatible client
Connect DBeaver (CloudBeaver) MCP to VS Code Copilot
Create your Vinkius account to connect DBeaver (CloudBeaver) 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.
Export database query results inside VS Code Copilot
The `data_transfer_export_data_from_results` tool allows VS Code Copilot to run asynchronous data exports from your database queries directly into your active workspace. Your agent executes the query, triggers the export on your CloudBeaver server, and downloads the file for immediate use in your codebase. To ensure compatibility, your agent calls `data_transfer_available_stream_processors` to identify supported file formats like JSON or CSV. This lets you pull production-grade datasets into your project workspace without leaving your editor or launching an external database manager.
Configure connections via VS Code Copilot MCP Server
The `get_connection_info` tool gives VS Code Copilot deep visibility into your active CloudBeaver database connections. When you write integration tests or configure database clients, your agent pulls real-time connection statuses to verify your local settings match the server's configuration. Your agent can also use `get_driver_list` to verify supported drivers, ensuring your project dependencies align with the database engine. This prevents runtime errors caused by configuration mismatches between your local code and the remote database server.
Control team access permissions inside your editor
The `add_connections_access` tool lets VS Code Copilot manage database connection permissions for your entire engineering team. You commit a shared MCP config to your repository, allowing team members to request and receive database access directly through Copilot Chat. The agent uses `create_team` and `delete_team` to organize access groups, matching your team's Git branches or deployment environments. This automates database provisioning, turning complex access management into simple conversational commands executed securely by your agent.
Set up DBeaver (CloudBeaver) 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.jsonin your workspace. - 2
Add the DBeaver (CloudBeaver) 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 DBeaver (CloudBeaver) tools listed. Try asking: "List my recent DBeaver (CloudBeaver) transactions" and Copilot will invoke them automatically.
{
"mcpServers": {
"dbeaver-cloudbeaver-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
} Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by CloudBeaver. 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 DBeaver (CloudBeaver) MCP in VS Code Copilot
Use it with your favorite AI tools
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