How to Use the Canto MCP in Vercel AI SDK

Q: How do I search Canto assets inside my Vercel AI SDK project?

Use the globalassetsearch tool within your agent logic. It scans your internal arrays and returns specific matches to your Vercel AI SDK stream.

Q: Can I build custom album workflows with Canto and Vercel AI SDK?

Yes. Combine listcantoalbums and assignassetalbum to automate how your files get sorted. Your Vercel AI SDK agent executes these steps based on your specific input.

Q: How are assets removed from Canto via the MCP Server?

Call the wipemediaasset tool to drop specific database bytes. Be careful, as this action is irreversible.

Use the Canto MCP Server to push image metadata and asset albums directly into your Vercel AI SDK streams.

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Connect Canto MCP to Vercel AI SDK

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

Ask AI about this MCP

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Claude

Perplexity

Stream Canto asset data to your Vercel AI SDK interface

Feed your UI live updates using `get_album_assets` and `global_asset_search`. Your users watch data populate in real-time as the agent pulls from your library. Stop waiting for spinners. The Vercel AI SDK pushes these results straight to your frontend components the moment the server responds.

Manage Canto folders and albums within your Vercel AI SDK app

Execute `create_canto_folder` or `create_canto_album` to organize your creative library on the fly. You control the directory structure via your own chat interface. This MCP Server handles the payload creation while you focus on the React or Next.js view logic. It maps your commands to the Canto backend instantly.

Modify image metadata using Vercel AI SDK tools

Trigger `patch_image_metadata` to update file properties without leaving your application. It performs validation checks before committing changes to your records. You gain full control over your document schemas. Each update reflects in the Canto database immediately after the function completes.

Setup guide

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

Use the `global_asset_search` tool within your agent logic. It scans your internal arrays and returns specific matches to your Vercel AI SDK stream.

Yes. Combine `list_canto_albums` and `assign_asset_album` to automate how your files get sorted. Your Vercel AI SDK agent executes these steps based on your specific input.

The server supports HTTP transport which works perfectly with edge runtimes. You keep your latency low while managing your creative assets.

Call the `wipe_media_asset` tool to drop specific database bytes. Be careful, as this action is irreversible.

We isolate all requests in a V8 sandbox. The server only touches your image metadata and album structures through your authenticated endpoint token.

Use it with your favorite AI tools

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

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