How to Use the Xata MCP in Mastra AI

Q: How does Xata work with Mastra AI for complex SQL?

You trigger executesql within a multi-step workflow. If the query fails due to transient network issues, Mastra AI automatically retries it using exponential backoff until it succeeds.

Q: Can I monitor performance using Xata and Mastra AI?

Yes. Use getbranchmetrics to pull resource data (CPU, disk, memory) for a branch. This metric collection is critical for building stable, self-healing infrastructure workflows.

Build complex, reliable workflows with Xata database management using Mastra AI.

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Connect Xata MCP to Mastra AI

Create your Vinkius account to connect Xata to Mastra AI 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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Setup Xata with Mastra AI

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Automated Workflow Data Querying

You execute data operations by calling `execute_sql`. When a multi-step process requires querying data—like fetching project details or list branches (`list_branches`)—Mastra AI handles the execution and potential retries. It ensures that even if a database query fails, your workflow doesn't crash; it automatically tries again.

Securing Credentials and Keys

Security is paramount. If credentials need updating, use `rotate_branch_credentials` to trigger a password change for an entire branch. You also manage access by calling `create_user_api_key` or listing existing ones with `list_user_api_keys`. These actions are built into complex workflows that require guaranteed completion.

Handling Organizational Lifecycle

The server provides tools to manage the whole lifecycle. You can create a new organization via `create_organization`, invite members using `invite_organization_member`, and even remove them with `remove_organization_member`. Mastra AI's workflow engine processes these sequential steps reliably, perfect for onboarding automation.

Setup guide

Set up Xata MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Xata tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "xata-mcp-client",
  servers: {
    "xata-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Xata Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Xata tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Xata transactions"
);
console.log(result.text);

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Common questions about Xata MCP in Mastra AI

You trigger `execute_sql` within a multi-step workflow. If the query fails due to transient network issues, Mastra AI automatically retries it using exponential backoff until it succeeds.

The server manages database schemas, organizational membership lists (`list_organization_members`), and API keys. Your agent can automate the creation or deletion of these resources.

Yes. Use `get_branch_metrics` to pull resource data (CPU, disk, memory) for a branch. This metric collection is critical for building stable, self-healing infrastructure workflows.

Mastra AI's workflow engine provides built-in failure handling. If `invite_organization_member` hits a roadblock, the system can automatically notify an administrator or try a different method.

It touches user authentication data (API keys), organizational structure, and database credentials. Tools like `list_org_api_keys` expose this sensitive information for management.

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