How to Use the Factor (Cofactr) MCP in Vercel AI SDK

Q: How do I connect Factor (Cofactr) to my Vercel AI SDK project?

Install the @ai-sdk/mcp package to connect this MCP Server. Initialize the client using your Vinkius endpoint and pass the tools from mcpClient.tools() directly into streamText or generateText. Remember to call mcpClient.close() when the session ends to prevent memory leaks.

Q: How does the Factor (Cofactr) Vercel AI SDK integration handle supplier lookups?

The agent uses listsuppliers to fetch your active vendor list. From there, it can call getsupplier to grab contact info or lead times, streaming the details straight into your user-facing dashboard.

Q: Can my users approve quotes directly in the chat interface using this MCP integration?

They can. Your agent can pull up pending bids with listrfqs and then use createpurchaseorder to execute the buy once the user gives the green light in the UI.

Feed live component inventory and PO status directly into your Next.js frontend using the Vercel AI SDK.

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Connect Factor (Cofactr) MCP to Vercel AI SDK

Create your Vinkius account to connect Factor (Cofactr) 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 Factor (Cofactr) with Vercel AI SDK

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Real-time stock checks in your UI

The `list_inventory` tool lets your app query current warehouse stock levels on the fly. Instead of making users wait for a full page reload, the Vercel AI SDK streams these live numbers straight into your React components. You can also pull up specific component details with `get_item` to show datasheets or package types. This keeps your interface fast and prevents stale inventory data from ruining a production run.

Instant purchase orders in your app

This MCP Server exposes `create_purchase_order` to let your agent buy parts the second stock runs low. Your users do not have to jump into a separate ERP dashboard to sign off on procurement anymore. By pairing this with `get_purchase_order`, the interface displays real-time updates as the supplier processes the request. It turns a clunky back-office task into a fast, interactive experience inside your web app.

Live RFQ tracking for hardware teams

The `list_rfqs` tool fetches your active requests for quotes directly from the Factor database. Your frontend displays these bids as they come in, giving engineers immediate visibility into component pricing. If you need to drill down on a single bid, `get_rfq` pulls the exact pricing and lead times. It cuts out the typical email back-and-forth by putting the raw supplier feedback right on the user's screen.

Setup guide

Set up Factor (Cofactr) 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 Factor (Cofactr) 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 Factor (Cofactr) 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 Factor (Cofactr). 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 Factor (Cofactr) MCP in Vercel AI SDK

Install the `@ai-sdk/mcp` package to connect this MCP Server. Initialize the client using your Vinkius endpoint and pass the tools from `mcpClient.tools()` directly into `streamText` or `generateText`. Remember to call `mcpClient.close()` when the session ends to prevent memory leaks.

Yes, that is the main benefit of this setup. When your agent calls `list_inventory`, the Vercel AI SDK streams the raw JSON data chunk by chunk, allowing your React UI to render the stock levels as they arrive instead of waiting for the full payload.

The agent uses `list_suppliers` to fetch your active vendor list. From there, it can call `get_supplier` to grab contact info or lead times, streaming the details straight into your user-facing dashboard.

They can. Your agent can pull up pending bids with `list_rfqs` and then use `create_purchase_order` to execute the buy once the user gives the green light in the UI.

All requests go through a secure V8 sandbox on Vinkius, meaning your part numbers and PO details are never exposed to the public. The server only handles the specific inputs required by `list_items` and does not store your supply chain database.

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