How to Use the Collibra MCP in Vercel AI SDK

Get live Collibra data assets streaming straight into your React UI using Vercel AI SDK and this MCP Server.

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Connect Collibra MCP to Vercel AI SDK

Create your Vinkius account to connect Collibra to Vercel AI SDK 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 Vercel AI SDK

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Live Collibra asset search in Vercel AI SDK

Stop making users wait for heavy data governance queries to resolve. This MCP Server lets your application call `search_assets` and pipe the results directly into streamText. Your users see governance data populate their screens line-by-line. You can pull complete asset profiles instantly. By pairing `get_asset` with your React components, the interface updates dynamically as the model fetches metadata, making compliance audits feel instant rather than painful.

Real-time domain mapping and community lists

Building governance dashboards requires fast access to organizational structures. Use `list_domains` and `list_communities` within your Edge Functions to render your data map instantly. The model handles the heavy lifting of figuring out where assets belong. It queries `list_domain_types` to match your current layout, then pushes the structured JSON straight to your frontend components.

Interactive asset creation from UI inputs

Let users register new data assets without leaving your custom app. Your agent takes raw user input, runs it through `list_asset_types` to find the correct schema, and creates the record. It calls `create_asset` to commit the changes to your catalog. Because it's built on Vercel AI SDK, the UI updates the asset's status using `list_statuses` while the operation executes.

Setup guide

Set up Collibra MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Collibra tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Collibra transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Collibra. 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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Common questions about Collibra MCP in Vercel AI SDK

You configure the credentials when initializing the client in your API route. Pass the MCP connection details inside `createMCPClient` using the HTTP transport, which handles the secure handshake back to your Collibra instance.

Yes, that is exactly what this setup is built for. You pass the tools from the client into `streamText`, allowing `search_assets` to output data directly to your UI.

It does. The MCP Server runs on Vinkius, meaning your Edge Functions only make lightweight HTTP calls to trigger `create_asset` without bloated SDK overhead.

The SDK catches the transport error and passes it back to your stream. You should handle this in your React code to show a fallback UI if a community ID is missing.

Your data assets, domains, and community structures never persist on Vinkius. Every request going through the MCP Server is isolated in an ephemeral V8 sandbox, ensuring your governance data remains private.

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