How to Use the Factorial MCP in Vercel AI SDK

Q: How do I connect the Factorial MCP server to the Vercel AI SDK?

Install @ai-sdk/mcp and initialize the client using createMCPClient with your Vinkius HTTP endpoint. Pass the tools from your MCP Server directly into the tools parameter of generateText or streamText.

Q: Can I stream live shift updates from Factorial using Vercel AI SDK?

Yes. The client uses listshifts to fetch scheduling data, which then streams directly into your frontend components. Users see their hours update block-by-block without page refreshes.

Build live HR dashboards where Factorial data streams directly into your Next.js UI using the Vercel AI SDK.

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Connect Factorial MCP to Vercel AI SDK

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

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Live HR feed rendering with Vercel AI SDK

The `list_employees` tool pulls your team roster directly into your application state. Instead of waiting for a full page reload, the client streams the raw JSON array straight into your custom React components. You configure this by passing the MCP client tools directly into `streamText`. Your users watch the AI assemble team directories or grab specific profiles via `get_employee` in real-time, completely skipping the usual loading spinners.

Instant shift and time tracking controls

The `list_shifts` tool fetches active schedules for any given month. Your agent reads this data to find gaps, then triggers `clock_in` or `clock_out` actions based on direct user chat prompts. This setup bypasses heavy backend middleware entirely. Running on Vercel Edge Functions, the client handles these requests with sub-100ms cold starts, keeping your operational dashboard fast.

Direct document and folder discovery

The `list_folders` tool exposes your entire company directory structure to your agent. When a user asks for specific files, the agent queries `list_documents` via the MCP connection to find the exact resource ID without manual browsing. You render these files as interactive UI elements instantly. This means your team can find tax forms or company policies by typing a simple sentence in your chat interface.

Setup guide

Set up Factorial 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 Factorial 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 Factorial 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 Factorial. 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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Live

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

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Common questions about Factorial MCP in Vercel AI SDK

Install `@ai-sdk/mcp` and initialize the client using `createMCPClient` with your Vinkius HTTP endpoint. Pass the tools from your MCP Server directly into the `tools` parameter of `generateText` or `streamText`.

Yes. The client uses `list_shifts` to fetch scheduling data, which then streams directly into your frontend components. Users see their hours update block-by-block without page refreshes.

The SDK executes calls as they are generated by the model. If you expect high traffic, implement a caching layer or use Vercel Edge Config to store frequent outputs from tools like `list_teams`.

Vinkius manages the core authentication handshake. You pass the user's specific API token through the `authProvider` configuration during client initialization to restrict access to tools like `list_payslips`.

Your sensitive HR documents, payslips, and leave records never touch public LLM training sets. Vinkius runs the integration in an isolated V8 sandbox, routing requests securely and keeping your employee PII encrypted in transit.

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