How to Use the Fixably MCP in Vercel AI SDK

Q: How do I handle streaming tool calls for Fixably with Vercel AI SDK?

Install @ai-sdk/mcp and set up the client using createMCPClient. You pass the tools directly into streamText or generateText and map the output. Remember to call close() on the client when the session ends to prevent memory leaks.

Q: How does Fixably handle multi-warehouse tracking in Vercel AI SDK?

Your agent uses liststocks to see all available inventory locations. It can then drill down into specific quantities using getstock to tell your users exactly which warehouse holds the parts they need.

Q: Can I create new service tickets in Fixably using Vercel AI SDK?

Absolutely. The agent can invoke createorder when a customer submits a repair request. It automatically populates the required fields and updates the UI state in real-time.

Live-stream hardware repair updates and warehouse stock counts directly into your Next.js UI with the Vercel AI SDK and this MCP Server.

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Connect Fixably MCP to Vercel AI SDK

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

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Stream live repair queues with Vercel AI SDK

This MCP Server lets your AI client fetch active jobs with `list_orders` and pull details with `get_order`, streaming the raw data directly into your frontend components. Instead of waiting for a full API response, your React or Next.js app renders the ticket numbers and device statuses step-by-step as they arrive. This keeps your service desk dashboard responsive even when querying hundreds of active hardware repair jobs.

Instant inventory lookup on the Edge

This MCP Server exposes `list_stock_products` and `get_stock` so your AI client can resolve parts queries at the edge instantly. The Vercel AI SDK handles the tool execution in lightweight edge functions, avoiding cold starts. Technicians get immediate answers about where a part is stored without waiting for heavy database queries to finish.

Direct order updates from the UI chat

Your agent translates user text into structured tool calls like `update_order` and `add_order_note` to edit repair records on the fly. Because this MCP connection supports direct tool streaming, your UI shows the progress of the update in real-time. The agent can even change the physical status of a device using `change_internal_location` without forcing the user to refresh the page.

Setup guide

Set up Fixably 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 Fixably 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 Fixably 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 Fixably. 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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visibility into every interaction

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 Fixably MCP in Vercel AI SDK

Install `@ai-sdk/mcp` and set up the client using `createMCPClient`. You pass the tools directly into `streamText` or `generateText` and map the output. Remember to call `close()` on the client when the session ends to prevent memory leaks.

Yes. You can query specific subsets of your repair database by using `list_orders` and `get_customer` through the SDK interface. This lets your agent filter by status, date, or customer ID and stream the results straight to your UI.

Your agent uses `list_stocks` to see all available inventory locations. It can then drill down into specific quantities using `get_stock` to tell your users exactly which warehouse holds the parts they need.

Absolutely. The agent can invoke `create_order` when a customer submits a repair request. It automatically populates the required fields and updates the UI state in real-time.

Yes. All customer records, repair logs, and inventory data stay inside the Vinkius V8 sandbox. The MCP connection communicates over a secure, authenticated channel, ensuring that sensitive customer details accessed via `get_customer` are never exposed to public networks.

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