How to Use the Collibra MCP in Mastra AI

Q: How do I register the Collibra tools inside a Mastra AI agent?

You instantiate the MCP client using @mastra/mcp and point it to your Vinkius endpoint. Then, call listTools and spread those tools directly into your agent's tool configuration.

Run automated Collibra data governance workflows with Mastra AI agents using this MCP Server.

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Connect Collibra MCP to Mastra AI

Create your Vinkius account to connect Collibra 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 Collibra with Mastra AI

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Automate governance workflows using Mastra AI

Build self-healing pipelines that manage your data catalog. This MCP Server exposes tools like `create_asset` to your Mastra agents, allowing them to register new data points based on system triggers. If a cataloging step fails, Mastra's workflow engine kicks in. It automatically retries the operation with exponential backoff, ensuring your metadata stays consistent even during network hiccups.

Conditional branching for asset approval

Set up complex decision trees for your data stewards. The agent can run `get_asset` to check a file's current state, then branch based on what it finds. If the status returned by `list_statuses` requires human intervention, Mastra pauses the run. It waits for approval before invoking `create_asset` to finalize the record.

Automatic domain and community discovery

Stop hardcoding your data structure. Your agent can query `list_domains` and `list_communities` to map out your organization dynamically. By analyzing the output of `list_domain_types` and `get_community_details`, the agent places new data assets in their exact rightful place without manual mapping.

Setup guide

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

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

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

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Common questions about Collibra MCP in Mastra AI

You instantiate the MCP client using `@mastra/mcp` and point it to your Vinkius endpoint. Then, call `listTools` and spread those tools directly into your agent's tool configuration.

Yes, you can design a workflow step that checks conditions first. If the conditions pass, the agent triggers `create_asset` to write the new metadata to your catalog.

Mastra's built-in workflow engine handles rate limits gracefully. If `list_assets` hits an API limit, the system pauses and retries the call automatically without crashing your pipeline.

No, the transport layer is handled automatically. The client detects the server's protocol and establishes the connection without manual socket configuration.

No metadata is stored. The MCP Server acts as a stateless proxy inside a zero-trust V8 sandbox, meaning your asset lists and domain configurations are processed in memory and instantly wiped.

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