Compatible with every major AI agent and IDE
What is the DBeaver (CloudBeaver) MCP Server?
Connect your CloudBeaver (DBeaver Cloud) instance to any AI agent to streamline database administration and server management through natural language.
What you can do
- User & Team Management — Create, delete, and inspect user accounts and teams for granular access control using
create_userandcreate_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_listanddata_transfer_available_stream_processors. - Server Health & Licensing — Monitor active product licenses, server settings, and AI assistant configurations with
get_active_product_licenseandget_ai_settings. - Authentication Control — Query available auth providers and manage session logins via
get_auth_providersandauth_login.
How it works
- Subscribe to this server
- Provide your CloudBeaver Server URL and API Token
- Start managing your database infrastructure from Claude, Cursor, or any MCP client
Who is this for?
- Database Administrators — quickly audit user permissions and connection statuses without the web UI
- DevOps Engineers — automate user provisioning and verify server configurations
- Data Engineers — check available drivers and export capabilities for data pipelines
Built-in capabilities (19)
Grants users or teams access to specific connections
Authenticates a session using a provider and credentials
Updates the main server configuration
Creates a new team for access management
Creates a new user account (Admin only)
Lists available export formats (CSV, JSON, XLSX, etc.)
Starts an async task to export data from a table/schema
Exports data from a specific SQL query result set
Terminates active database sessions for a connection
Removes a team
Removes a user account
Returns details of the active server license
Returns information about the currently authorized user
Returns detailed admin-level info for a specific user
Returns global AI assistant configurations
Lists all licenses installed on the server
Lists all available authentication providers (local, SAML, etc.)
Returns configuration and status for a specific database connection
Lists all database drivers supported by the server
Why LangChain?
LangChain's ecosystem of 500+ components combines seamlessly with DBeaver (CloudBeaver) through native MCP adapters. Connect 19 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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The largest ecosystem of integrations, chains, and agents. combine DBeaver (CloudBeaver) MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across DBeaver (CloudBeaver) queries for multi-turn workflows
DBeaver (CloudBeaver) in LangChain
DBeaver (CloudBeaver) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect DBeaver (CloudBeaver) to LangChain through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for DBeaver (CloudBeaver) in LangChain
The DBeaver (CloudBeaver) 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. All 19 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in LangChain only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* 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
How Vinkius secures
DBeaver (CloudBeaver) for LangChain
Every tool call from LangChain to the DBeaver (CloudBeaver) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How can I see which database types are supported by my CloudBeaver server?
You can use the get_driver_list tool. It returns a comprehensive list of all database drivers installed and supported by your server instance.
Can I check if a specific database connection is active and properly configured?
Yes! Use the get_connection_info tool by providing the Project ID and Connection ID. It will return the current status and configuration details for that specific database.
What file formats are available for exporting data from my databases?
Run the data_transfer_available_stream_processors tool. It lists all available export formats like CSV, JSON, and XLSX supported by your CloudBeaver environment.
How does LangChain connect to MCP servers?
Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
Which LangChain agent types work with MCP?
All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
Can I trace MCP tool calls in LangSmith?
Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters
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