How to Use the Xata MCP in Google ADK
Build enterprise agents with Xata and Google ADK for GCP workflows.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up Xata MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required. - 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.
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.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
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
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