How to Use the Uploadcare MCP in Vercel AI SDK

Q: How do I check Uploadcare file status with the Vercel AI SDK?

To get technical details on any specific asset, call getfiledetails. This retrieves metadata like dimensions and formats. Your agent can then display this information in real-time to the user.

Q: Can I list all files stored in Uploadcare using the Vercel AI SDK?

Yes, call listfiles. This method supports pagination, so you get a complete record of every file. The data streams directly to your front end as it's processed.

Q: What happens when I run batch operations on Uploadcare with the Vercel AI SDK?

You can use batchdeletefiles to wipe out multiple files instantly. Be careful, because this is a permanent operation. You'll need confirmation before executing it.

Q: How do I ensure my client handles file copying correctly in Uploadcare using the Vercel AI SDK?

The copyfile tool lets your agent replicate an existing asset to local or remote storage. It's a simple, direct command that keeps all necessary data intact.

Stream media data live in your UI using Vercel AI SDK and Uploadcare.

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Connect Uploadcare MCP to Vercel AI SDK

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

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Manage Files Directly with the MCP Server

Use `list_files` to pull a paginated list of all files currently stored in your project. This gives you an immediate inventory, letting your client know exactly what media assets are available for use. Need more context? Call `get_file_details` on any specific file ID to retrieve its technical metadata. You'll know everything about the file—size, type, and creation date—before displaying it to a user.

Handling Large Media Batches

When you need to clean up or organize content fast, use `batch_delete_files`. Remember: this action is irreversible. It permanently removes multiple files in one go. Alternatively, if you're marking several temporary assets for permanent storage, call `batch_store_files`. This marks them as ready for long-term access without needing individual calls.

Retrieving Project Status

The server lets your agent check the overall health of your media infrastructure. You use `get_project_info` to pull project-level metadata and usage statistics. Want to see how many groups you have? Running `list_file_groups` gives you a list of all immutable file collections, helping your UI show structured data.

Setup guide

Set up Uploadcare 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 Uploadcare 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 Uploadcare 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 Uploadcare. 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 Uploadcare MCP in Vercel AI SDK

To get technical details on any specific asset, call `get_file_details`. This retrieves metadata like dimensions and formats. Your agent can then display this information in real-time to the user.

Yes, call `list_files`. This method supports pagination, so you get a complete record of every file. The data streams directly to your front end as it's processed.

You can use `batch_delete_files` to wipe out multiple files instantly. Be careful, because this is a permanent operation. You'll need confirmation before executing it.

This server manages core file metadata and project usage statistics. Specifically, you are dealing with technical metadata for files and general project-level metrics.

The `copy_file` tool lets your agent replicate an existing asset to local or remote storage. It's a simple, direct command that keeps all necessary data intact.

Use it with your favorite AI tools

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

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