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How to Use the Xata MCP in OpenAI Agents SDK

Build production workflows with Xata and your OpenAI Agents SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

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OpenAI Agents SDK

Connect Xata MCP to OpenAI Agents SDK

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

GDPR Free for Subscribers

Manage Database Infrastructure via MCP Server

You use `create_branch` or `list_branches` to manage the physical structure of your database. This lets your agent provision new data environments and list all existing branches within a project. It also handles core setup tasks like running `execute_sql` queries, allowing your agent to read and write directly to the serverless backend.

Control Organization Membership via OpenAI Agents SDK

Your agent manages who belongs in an organization using tools like `invite_organization_member`, `remove_organization_member`, and `list_organization_members`. This is essential for setting up proper access controls before running any code. It's also responsible for viewing the entire user base via `list_organizations` and getting detailed info about a specific group using `get_organization`.

Automate DevOps Credential Rotation

`rotate_branch_credentials` triggers an immediate password change for any branch, which is critical for compliance. You can also monitor system health by running `get_branch_metrics`, checking CPU and memory usage. For security, your agent handles all API keys, letting you create new credentials with `create_user_api_key` or bulk-delete old ones using `delete_user_api_keys`.

Setup guide

Set up Xata MCP in OpenAI Agents SDK

Prerequisites

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

    Install the SDK

    Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.

  2. 2

    Connect via SSE transport

    Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Xata tools at runtime.

  3. 3

    Create your Agent

    Pass the MCP to Agent(mcp_servers=[server]). The agent receives Xata tools as native definitions — JSON schemas resolve automatically.

  4. 4

    Run the agent

    Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Xata tools and returns structured results. Copy the full example on the right to get started.

agent.py
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Xata Agent",
            instructions="You have access to Xata tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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

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Real-time monitoring

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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 OpenAI Agents SDK

You use `get_project_limits` to check current quotas for any project in your organization. This tells you exactly when or if an agent needs to scale up resources before running complex jobs.
Yes, you can list all API keys associated with a specific user using `list_user_api_keys`. This allows your agent to quickly verify who has active credentials.
You just run `update_organization` through the MCP Server. Your agent handles validating all required fields, ensuring that the administrative update is completed correctly.
Absolutely. You can run `map_github_repository` to link a repo directly to a branch, or use `get_github_repository_mapping` to confirm the current mapping status.
This MCP Server primarily handles organizational metadata and API keys. It exposes details about user credentials and organization membership records, not actual transactional data.

Start using the Xata MCP today

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