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How to Use the Xata MCP in Google ADK

Build enterprise agents with Xata and Google ADK for GCP workflows.

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Google ADK

Connect Xata MCP to Google ADK

Create your Vinkius account to connect Xata to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Run Core Database Operations via MCP Server

The `execute_sql` tool lets your agent run single or batch SQL queries directly on the serverless database. This is where all read and write actions happen, making it central to any data pipeline. Beyond querying, you can manage the entire environment by calling `list_regions`, ensuring your agents deploy resources in the right geographic zone.

Manage Project Environments with Google ADK

Your agent sets up resource containers using `create_project` and keeps track of all available environments via `list_projects`. You can also check how much capacity is left by calling `get_project_limits`. For granular control, the tool allows you to view every branch within a project using `list_branches`, giving full visibility into the data structure.

Administer Credentials and Access Control

Access management is handled through tools like `create_org_api_key` for organization-level keys, or `create_user_api_key` for individual users. This keeps your agent’s actions scoped and auditable. Security protocols are enforced when you run `rotate_branch_credentials`, forcing a password change for compliance purposes.

Setup guide

Set up Xata MCP in Google ADK

Prerequisites

  • Python 3.10+ installed
  • google-adk package (pip install google-adk)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 2

    Connect via SSE transport

    Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Create an LlmAgent

    Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.

  4. 4

    Run with any Gemini model

    The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Xata tools in your ADK agent.

agent.py
from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Xata_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Xata tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Xata. 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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Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Xata MCP in Google ADK

You use the MCP Server to execute complex workflows. Your agent can chain calls, executing `execute_sql` followed by user management actions like `invite_organization_member`, ensuring data is processed correctly before access is granted.
Yes. The tool provides detailed observability via `get_branch_metrics`. You can check CPU, memory, and disk usage for any given branch to optimize costs and performance.
You'll use `create_organization`, `list_organizations`, and `update_organization`. These functions let your agent build out the entire corporate structure from scratch.
It does. You can use `map_github_repository` to link a Git source directly to your database branches, making the entire process continuous.
This server interacts with organizational metadata, project credentials, and user API keys. It manages who has access (user accounts) but does not expose the transactional database contents.

Start using the Xata MCP today

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Built & Managed by Vinkius 30s setup 28 tools

We've already built the connector for Xata. Just plug in your AI agents and start using Vinkius.

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