How to Use the Fluxiom MCP in Vercel AI SDK

Q: How do I connect the Fluxiom MCP Server to Vercel AI SDK?

Install ai and @ai-sdk/mcp, then initialize the client using createMCPClient with your Vinkius MCP endpoint. Pass the tools directly into streamText to let your React agent query Fluxiom files.

Q: Can I stream Fluxiom asset lists directly into Next.js using Vercel AI SDK?

Yes, the Vercel AI SDK receives tool outputs from listassets and streams them chunk-by-chunk to your UI component. This lets your Next.js application display Fluxiom files to the user as they are found.

Q: How does Vercel AI SDK handle asset updates in Fluxiom?

The SDK agent triggers updateasset based on user chat prompts. The Vercel AI SDK executes this call against the Fluxiom server, changing the file properties instantly without manual API coding.

Q: Do I need to manually close the connection after listing files in Vercel AI SDK?

Yes, always call mcpClient.close() when your Vercel AI SDK edge function completes. This prevents hanging connections and keeps your serverless execution costs low.

Feed your Fluxiom digital asset metadata directly into your React UI in real time using the Vercel AI SDK.

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Connect Fluxiom MCP to Vercel AI SDK

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

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Live Asset Feeds in Vercel AI SDK

The `list_assets` tool connects your React frontend directly to your Fluxiom library, allowing your agent to fetch images and videos instantly. Instead of showing a blank loading spinner, your users watch the asset metadata populate their screens as the Vercel AI SDK streams the raw JSON chunks. Your Vercel AI SDK setup runs entirely on the edge, keeping execution latency down to milliseconds. By coupling Fluxiom's `list_stages` with this real-time stream, you can build interactive portals where clients browse branded collections without waiting for traditional page reloads.

Instant Metadata Updates with the Fluxiom MCP Server

The `update_asset` tool lets your Vercel AI SDK agent modify titles, descriptions, and custom fields directly from a chat interface. When a user requests a change, the SDK handles the tool call and updates the UI state immediately, reflecting the new metadata on the screen before the backend connection even closes. You can pair this with `create_tag` to let Vercel AI SDK users categorize files on the fly. The Fluxiom MCP Server executes the database update while your frontend updates the local state, maintaining a snappy user experience.

Real-Time Version Tracking

The `get_asset_versions` tool pulls the entire history of any file so Vercel AI SDK users can compare changes inside your chat interface. Using the SDK, your agent displays the version timeline step-by-step, allowing the user to select and restore older files with a single click. If a Vercel AI SDK user decides to roll back, the agent invokes `get_asset` to confirm the selected version's details. This specific workflow keeps your Fluxiom assets organized without forcing users to open a separate dashboard.

Setup guide

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

Install `ai` and `@ai-sdk/mcp`, then initialize the client using `createMCPClient` with your Vinkius MCP endpoint. Pass the tools directly into `streamText` to let your React agent query Fluxiom files.

Yes, the Vercel AI SDK receives tool outputs from `list_assets` and streams them chunk-by-chunk to your UI component. This lets your Next.js application display Fluxiom files to the user as they are found.

The SDK agent triggers `update_asset` based on user chat prompts. The Vercel AI SDK executes this call against the Fluxiom server, changing the file properties instantly without manual API coding.

Yes, always call `mcpClient.close()` when your Vercel AI SDK edge function completes. This prevents hanging connections and keeps your serverless execution costs low.

Your Fluxiom file metadata and tags never touch external training sets. Vinkius runs the MCP server in an isolated V8 sandbox, routing your asset data directly between Fluxiom and your Vercel deployment.

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