How to Use the Directus MCP in Vercel AI SDK

Q: How do I handle Directus database schema changes dynamically using Vercel AI SDK?

Use listschemacollections inside your streaming text generation function to map Directus tables directly within your Vercel AI SDK interface. The model adapts its queries dynamically without requiring manual server restarts.

Q: Can I stream a Directus record creation to React with Vercel AI SDK?

Yes, you call createcmsrecord inside streamText. The tool writes the row to your Directus database, and you can stream the returned UUID immediately to your frontend components for instant rendering.

Q: What is the fastest way to read specific collection items via MCP?

Execute getsingleitem with the exact row UUID. This bypasses broad searches and directly pulls the specific log or record from your Directus instance.

Pipe live Directus database updates straight to your React components using this Vercel AI SDK MCP connection.

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Connect Directus MCP to Vercel AI SDK

Create your Vinkius account to connect Directus 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 Directus with Vercel AI SDK

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Inspect Directus schemas live in Vercel AI SDK

`list_schema_collections` retrieves active Directus PostgreSQL tables directly into your Vercel AI SDK streaming interface. Your agent inspects structural rules on the fly to understand how database tables relate without blocking the frontend render loop. Once it maps the structure, the agent calls `list_collection_fields` to verify column configurations. This means your Next.js frontend renders dynamic form fields instantly based on your live Directus schema.

Mutate Directus records on the edge with this MCP Server

`patch_cms_record` updates your Directus database values by ID directly from your Vercel AI SDK Edge Functions. The tool writes changes directly to your database instance, keeping your application state synchronized with low latency. If you need to add new rows, `create_cms_record` handles the raw JSON payload writing. Let's face it, nobody wants to wait for a loading spinner — this streams the database confirmation straight back to your Vercel AI SDK component.

Live Directus file and user auditing

`list_directus_files` checks your active Directus media storage metadata to verify attachments during active Vercel AI SDK chat sessions. The agent inspects properties like size and type before rendering download links in the chat window. For access control, `list_directus_users` identifies active Directus admin identities and roles. This prevents unauthorized users from calling destructive tools like `wipe_cms_record` on your live database through the chat client.

Setup guide

Set up Directus 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 Directus 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 Directus 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 Directus. 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.

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Common questions about Directus MCP in Vercel AI SDK

Use `list_schema_collections` inside your streaming text generation function to map Directus tables directly within your Vercel AI SDK interface. The model adapts its queries dynamically without requiring manual server restarts.

Yes, you call `create_cms_record` inside `streamText`. The tool writes the row to your Directus database, and you can stream the returned UUID immediately to your frontend components for instant rendering.

You exclude the destructive tool from the array passed to your Vercel AI SDK client configuration. Exposing only safe tools via this MCP Server keeps your data secure.

Execute `get_single_item` with the exact row UUID. This bypasses broad searches and directly pulls the specific log or record from your Directus instance.

No, your database credentials stay encrypted inside the Vinkius sandbox. Only the raw JSON payloads returned by tools like `list_collection_items` pass through to your local Vercel AI SDK execution environment.

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