How to Use the DBeaver (CloudBeaver) MCP in Mastra AI

Q: How do I add DBeaver (CloudBeaver) tools to a Mastra AI agent?

Instantiate the MCPClient pointing to your Vinkius URL and call listTools. Spread these tools directly into your Mastra agent configuration to give it control over database configurations and sessions.

Q: Can I manage authentication providers using Mastra AI?

Yes. The agent uses getauthproviders to inspect active authentication methods and handles login sequences using authlogin. This allows automated workflows to authenticate across different environments.

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Connect DBeaver (CloudBeaver) MCP to Mastra AI

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Setup DBeaver (CloudBeaver) with Mastra AI

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Auto-Provision Teams via Mastra AI MCP Server

The `create_team` tool registers new groups on your DBeaver (CloudBeaver) server, and `add_connections_access` assigns them specific database resources. Mastra AI executes these steps sequentially, verifying each stage before moving to the next. If a step fails, the Mastra AI workflow engine triggers an automatic retry with exponential backoff. This ensures that team access is granted even during brief network drops, without leaving half-configured permissions.

Automated Server Configuration and Diagnostics

The `configure_server` tool updates global settings on your DBeaver (CloudBeaver) instance, while `get_active_product_license` checks compliance. Your Mastra AI agent monitors these settings and applies corrections if it detects a configuration drift. The system alerts your team only if automated retries fail. This keeps your database administration running smoothly without constant manual oversight of server parameters.

Terminate Rogue Sessions Automatically

The `db_sm_terminate` tool stops active database sessions, and `get_connection_info` retrieves the current status of the target DBeaver (CloudBeaver) database. Your Mastra AI agent monitors active connections and executes terminations when it detects query timeouts. The workflow engine handles the entire lifecycle, from detection to remediation. It confirms the session closure and logs the action, preventing single runaway queries from exhausting your database connection pool.

Setup guide

Set up DBeaver (CloudBeaver) MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All DBeaver (CloudBeaver) tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "dbeaver-cloudbeaver-mcp-client",
  servers: {
    "dbeaver-cloudbeaver-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "DBeaver (CloudBeaver) Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to DBeaver (CloudBeaver) tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent DBeaver (CloudBeaver) transactions"
);
console.log(result.text);

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Common questions about DBeaver (CloudBeaver) MCP in Mastra AI

Instantiate the `MCPClient` pointing to your Vinkius URL and call `listTools`. Spread these tools directly into your Mastra agent configuration to give it control over database configurations and sessions.

Yes. You can configure the workflow to require manual approval before executing `delete_team`. This prevents agents from accidentally removing user groups or active database access.

The Mastra engine uses built-in retry mechanisms with exponential backoff when executing tools like `get_connection_info`. If the CloudBeaver API is temporarily unresponsive, the agent retries the call before failing.

Yes. The agent uses `get_auth_providers` to inspect active authentication methods and handles login sequences using `auth_login`. This allows automated workflows to authenticate across different environments.

Session tokens and administrative credentials are encrypted in transit and processed entirely within ephemeral Vinkius sandboxes. No configuration data or database session histories are stored permanently on our platform.

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