How to Use the Fusioo MCP in Vercel AI SDK

Q: How do I connect Fusioo to the Vercel AI SDK?

Install the @ai-sdk/mcp package. Call createMCPClient with your HTTP transport endpoint. Then pass the output of the tools method into your text streaming function.

Q: Can the Vercel AI SDK create Fusioo records?

Yes. The agent uses the createapprecord tool. You can wrap this in a confirmation step in your UI before executing the write operation.

Q: Do I need to manually map Fusioo schemas?

No. The getappschema tool pulls the exact structure of your custom apps. Your agent reads this structure to format its requests correctly.

Build live Fusioo workspace interfaces directly into your React or Next.js apps using the Vercel AI SDK.

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Connect Fusioo MCP to Vercel AI SDK

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

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Stream Fusioo data to Vercel AI SDK frontends

Start with `list_apps` or `get_app_schema`. Your users don't want to wait for loading spinners. When they ask your agent for workspace details, the Vercel AI SDK streams the response straight into your UI components. You pass the tools into your text generation function. The agent calls `list_workspace_reports` and the data renders instantly. This MCP server handles the API routing so you focus on the user experience.

Read and write records on the fly

Reading data is only half the job. You need to let users modify their workspace directly from your custom chat interface. They type a request, and your agent maps it to `create_app_record`. Need to fix an entry? The `update_app_record` tool handles modifications. You verify the changes by running `get_record_details` and piping the confirmed values right back to the user.

Map workspace users and widgets

Your application needs context about who is doing what. The `list_workspace_users` tool pulls the active teammate roster. You can map these IDs to your own internal user table. For dashboard builds, `list_dashboard_widgets` grabs the layout data. Combine that with `get_app_record_count` to give users a high-level summary of their team's activity without forcing them into the Fusioo native app.

Setup guide

Set up Fusioo 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 Fusioo 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 Fusioo transactions",
});

console.log(text);
await mcpClient.close();

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Fusioo. 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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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

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Common questions about Fusioo MCP in Vercel AI SDK

Install the `@ai-sdk/mcp` package. Call `createMCPClient` with your HTTP transport endpoint. Then pass the output of the tools method into your text streaming function.

Yes. The agent uses the `create_app_record` tool. You can wrap this in a confirmation step in your UI before executing the write operation.

The SDK catches the error and returns it in the stream. You should handle the tool execution failure in your frontend logic and prompt the user to try again.

No. The `get_app_schema` tool pulls the exact structure of your custom apps. Your agent reads this structure to format its requests correctly.

The server accesses specific app records and teammate rosters. Vinkius runs this connection in an ephemeral V8 Isolate Sandbox. The process spins up, executes the tool request, and immediately dies, leaving no persistent memory.

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