How to Use the imgix (Real-time Image Processing) MCP in Vercel AI SDK

Q: Can Vercel AI SDK handle imgix (Real-time Image Processing) cache purges?

Yes. You map the purge tool to your agent and invoke it with the specific URL you need to clear. The response confirms the job ID instantly.

Q: How do I list assets using this MCP Server?

Call the listassets tool with your source ID. It returns a JSON array of all file paths and their current metadata.

Stream real-time image metadata and CDN control directly into your Vercel AI SDK frontends for faster asset management.

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Connect imgix (Real-time Image Processing) MCP to Vercel AI SDK

Create your Vinkius account to connect imgix (Real-time Image Processing) 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 imgix (Real-time Image Processing) with Vercel AI SDK

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Manage CDN sources with Vercel AI SDK

You can now push source configurations directly from your edge functions. Use `create_source` or `update_source` to sync your origin storage with the CDN without leaving your codebase. This MCP Server lets you toggle delivery instantly. Call `enable_source` or `disable_source` to control your live traffic patterns based on real-time application state.

Purge assets through your AI agents

Stop waiting for TTL expirations when you need content updates. Trigger the `purge` tool to clear stale images from the edge cache immediately. Your UI updates the moment the operation finishes. Because this connects to Vercel AI SDK, the results stream back so your users see progress as it happens.

Query image metadata in your workflows

Get precise details on what your CDN is serving. Use `get_asset` to pull exact file paths and content types for any object in your storage. Running `list_assets` gives you a clear view of your bucket contents. Your agents can now make decisions based on the actual file structure of your origin.

Setup guide

Set up imgix (Real-time Image Processing) 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 imgix (Real-time Image Processing) 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 imgix (Real-time Image Processing) 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 imgix. 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 imgix (Real-time Image Processing) MCP in Vercel AI SDK

Install the MCP client packages and point your transport to the Vinkius endpoint. Pass the tools directly into your generateText calls to enable immediate control.

Yes. You map the `purge` tool to your agent and invoke it with the specific URL you need to clear. The response confirms the job ID instantly.

The server uses a single endpoint token for authentication. It only processes the image metadata and CDN cache commands you explicitly authorize.

Call the `list_assets` tool with your source ID. It returns a JSON array of all file paths and their current metadata.

No. You query the CDN directly using the MCP tools. The server acts as a bridge between your agent and the live image infrastructure.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.