DBeaver (CloudBeaver) MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 19 tools to Add Connections Access, Auth Login, Configure Server, and more

Name: DBeaver (CloudBeaver)
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect DBeaver (CloudBeaver) through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

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The DBeaver (CloudBeaver) MCP Server for Vercel AI SDK is a standout in the Developer Tools category — giving your AI agent 19 tools to work with, ready to go from day one.

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typescript

import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using DBeaver (CloudBeaver), list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();

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* 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 DBeaver (CloudBeaver) MCP Server

Connect your CloudBeaver (DBeaver Cloud) instance to any AI agent to streamline database administration and server management through natural language.

The Vercel AI SDK gives every DBeaver (CloudBeaver) tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 19 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

What you can do

User & Team Management — Create, delete, and inspect user accounts and teams for granular access control using create_user and create_team.
Connection Insights — Fetch detailed configuration and status for specific database connections across projects with get_connection_info.
Driver & Export Discovery — List supported database drivers and available data transfer formats (CSV, JSON, XLSX) via get_driver_list and data_transfer_available_stream_processors.
Server Health & Licensing — Monitor active product licenses, server settings, and AI assistant configurations with get_active_product_license and get_ai_settings.
Authentication Control — Query available auth providers and manage session logins via get_auth_providers and auth_login.

The DBeaver (CloudBeaver) MCP Server exposes 19 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 19 DBeaver (CloudBeaver) tools available for Vercel AI SDK

When Vercel AI SDK connects to DBeaver (CloudBeaver) through Vinkius, your AI agent gets direct access to every tool listed below — spanning sql, database-administration, cloudbeaver, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

add

Add connections access on DBeaver (CloudBeaver)

Grants users or teams access to specific connections

auth

Auth login on DBeaver (CloudBeaver)

Authenticates a session using a provider and credentials

configure

Configure server on DBeaver (CloudBeaver)

Updates the main server configuration

create

Create team on DBeaver (CloudBeaver)

Creates a new team for access management

create

Create user on DBeaver (CloudBeaver)

Creates a new user account (Admin only)

data

Data transfer available stream processors on DBeaver (CloudBeaver)

Lists available export formats (CSV, JSON, XLSX, etc.)

data

Data transfer export data from container on DBeaver (CloudBeaver)

Starts an async task to export data from a table/schema

data

Data transfer export data from results on DBeaver (CloudBeaver)

Exports data from a specific SQL query result set

Db sm terminate on DBeaver (CloudBeaver)

Terminates active database sessions for a connection

delete

Delete team on DBeaver (CloudBeaver)

Removes a team

delete

Delete user on DBeaver (CloudBeaver)

Removes a user account

get

Get active product license on DBeaver (CloudBeaver)

Returns details of the active server license

get

Get active user on DBeaver (CloudBeaver)

Returns information about the currently authorized user

get

Get admin user info on DBeaver (CloudBeaver)

Returns detailed admin-level info for a specific user

get

Get ai settings on DBeaver (CloudBeaver)

Returns global AI assistant configurations

get

Get all product licenses on DBeaver (CloudBeaver)

Lists all licenses installed on the server

get

Get auth providers on DBeaver (CloudBeaver)

Lists all available authentication providers (local, SAML, etc.)

get

Get connection info on DBeaver (CloudBeaver)

Returns configuration and status for a specific database connection

get

Get driver list on DBeaver (CloudBeaver)

Lists all database drivers supported by the server

Connect DBeaver (CloudBeaver) to Vercel AI SDK via MCP

Follow these steps to wire DBeaver (CloudBeaver) into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the script

Save to agent.ts and run with npx tsx agent.ts

Explore tools

The SDK discovers 19 tools from DBeaver (CloudBeaver) and passes them to the LLM

Why Use Vercel AI SDK with the DBeaver (CloudBeaver) MCP Server

Vercel AI SDK provides unique advantages when paired with DBeaver (CloudBeaver) through the Model Context Protocol.

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same DBeaver (CloudBeaver) integration everywhere

Built-in streaming UI primitives let you display DBeaver (CloudBeaver) tool results progressively in React, Svelte, or Vue components

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

DBeaver (CloudBeaver) + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the DBeaver (CloudBeaver) MCP Server delivers measurable value.

AI-powered web apps: build dashboards that query DBeaver (CloudBeaver) in real-time and stream results to the UI with zero loading states

API backends: create serverless endpoints that orchestrate DBeaver (CloudBeaver) tools and return structured JSON responses to any frontend

Chatbots with tool use: embed DBeaver (CloudBeaver) capabilities into conversational interfaces with streaming responses and tool call visibility

Internal tools: build admin panels where team members interact with DBeaver (CloudBeaver) through natural language queries

Example Prompts for DBeaver (CloudBeaver) in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with DBeaver (CloudBeaver) immediately.

"List all database drivers supported by the server."

"Show me the details for connection 'postgres-prod' in project 'main-fleet'."

"Who is the currently authorized user and what is their display name?"

Troubleshooting DBeaver (CloudBeaver) MCP Server with Vercel AI SDK

Common issues when connecting DBeaver (CloudBeaver) to Vercel AI SDK through Vinkius, and how to resolve them.

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

DBeaver (CloudBeaver) + Vercel AI SDK FAQ

Common questions about integrating DBeaver (CloudBeaver) MCP Server with Vercel AI SDK.

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

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