How to Use the Alation MCP in Mastra AI

Q: How do I configure the Alation MCP Server in Mastra AI?

Install @mastra/mcp@latest and initialize the MCPClient with your Vinkius URL. Call listTools() and spread them directly into your agent's tool array.

Q: Can Mastra AI pause before exposing Alation query results?

Yes. You can configure requireToolApproval for the getqueryresults tool. A human data steward will have to click approve before the workflow extracts any cached data.

Build resilient data governance workflows by integrating Alation with Mastra AI to handle complex catalog audits automatically.

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Setup Alation with Mastra AI

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Automate data catalog audits

Keeping enterprise data dictionaries accurate requires constant babysitting. You can build a Mastra AI workflow that automatically runs `list_data_sources` followed by `list_schemas` to map out your current warehouse state. If the connection drops or the Alation API rate limits you, Mastra's built-in exponential backoff kicks in. The workflow simply pauses and retries the fetch. Your nightly audit scripts complete successfully instead of crashing halfway through.

Map custom fields with conditional branching

Different datasets require different compliance checks. When your agent calls `search_catalog` and finds a new table, you can set up a conditional branch based on the results. Financial data routes to one review process, while marketing data goes to another. The workflow then triggers `list_custom_fields` to verify that mandatory governance tags exist. If a table is missing its PII classification, the agent can immediately alert a data steward before the table gets used in production.

Validate saved queries via MCP Server

Broken SQL queries clutter up every data catalog over time. Your workflow can iterate through `list_saved_queries` to pull every shared snippet your analytics team relies on. From there, the agent can inspect the referenced tables using `list_columns` to check that the underlying schema hasn't changed. You get an automated, reliable system for catching broken dashboards before business users complain.

Setup guide

Set up Alation 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 Alation 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: "alation-mcp-client",
  servers: {
    "alation-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

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Common questions about Alation MCP in Mastra AI

Install `@mastra/mcp@latest` and initialize the `MCPClient` with your Vinkius URL. Call `listTools()` and spread them directly into your agent's tool array.

Yes. You can configure `requireToolApproval` for the `get_query_results` tool. A human data steward will have to click approve before the workflow extracts any cached data.

The framework handles the failure gracefully. Mastra will automatically retry the failed `get_object_metadata` or `get_lineage` calls based on your configured backoff settings.

It does. Mastra automatically detects the transport layer when connecting to the Vinkius endpoint. It will use Streamable HTTP or SSE depending on what your network environment prefers.

Your metadata stays private. The V8 Isolate sandbox destroys itself the millisecond your workflow finishes mapping table lineages or extracting schema definitions. No persistent storage holds your corporate data catalog information.

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