DBeaver (CloudBeaver) MCP Server for LlamaIndexGive LlamaIndex 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

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LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add DBeaver (CloudBeaver) as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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The DBeaver (CloudBeaver) MCP Server for LlamaIndex 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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python

import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to DBeaver (CloudBeaver). "
            "You have 19 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in DBeaver (CloudBeaver)?"
    )
    print(response)

asyncio.run(main())

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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.

LlamaIndex agents combine DBeaver (CloudBeaver) tool responses with indexed documents for comprehensive, grounded answers. Connect 19 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex

When LlamaIndex 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 LlamaIndex via MCP

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

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 19 tools from DBeaver (CloudBeaver)

Why Use LlamaIndex with the DBeaver (CloudBeaver) MCP Server

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

Data-first architecture: LlamaIndex agents combine DBeaver (CloudBeaver) tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain DBeaver (CloudBeaver) tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query DBeaver (CloudBeaver), a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what DBeaver (CloudBeaver) tools were called, what data was returned, and how it influenced the final answer

DBeaver (CloudBeaver) + LlamaIndex Use Cases

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

Hybrid search: combine DBeaver (CloudBeaver) real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query DBeaver (CloudBeaver) to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying DBeaver (CloudBeaver) for fresh data

Analytical workflows: chain DBeaver (CloudBeaver) queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for DBeaver (CloudBeaver) in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

DBeaver (CloudBeaver) + LlamaIndex FAQ

Common questions about integrating DBeaver (CloudBeaver) MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query DBeaver (CloudBeaver) tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.