How to Use the Simplicate MCP in Vercel AI SDK

Q: Can I use Simplicate with Vercel AI SDK to check project status?

Yep. You can run listprojects and then get specific details using getprojectdetails. Because the data streams, your user sees the project lifecycle updates happen as they're pulled.

Q: What if I need to log time via Simplicate with Vercel AI SDK?

You simply call logtimeregistration through your agent. The result streams back, letting you confirm the hours worked immediately in the UI, which is way better than a loading state.

Build live, real-time business apps for professional services using the Simplicate MCP Server with Vercel AI SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect Simplicate MCP to Vercel AI SDK

Create your Vinkius account to connect Simplicate to Vercel AI SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Simplicate with Vercel AI SDK

Ask AI about this MCP

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Claude

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Gemini

Grok

Find client data instantly.

The `list_crm_organizations` tool lets your agent grab a list of every company Simplicate tracks. You can then narrow that down by calling `list_crm_persons` to get details on specific contacts within those groups. This setup means developers build contact lookups that feel instant. Users see the data stream in live—no loading spinner required.

Track hours and project status.

To track ongoing work, your agent uses `list_projects` to pull a list of active client projects. For granular details, it runs `list_time_registrations`, or even registers new time using `log_time_registration`. This capability lets your app give users real-time visibility into project scope and billed hours.

Manage billing and sales opportunities.

When a user needs to check past finances or potential deals, the agent calls `list_invoices` for historical bills. Alternatively, running `list_sales_opportunities` lets you see what's pending closure. This gives your front end immediate financial context, allowing developers to build accurate billing dashboards.

Setup guide

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

It streams results directly into your UI. Instead of waiting for a single API call response, the data appears in real-time as it's processed by the MCP Server. This is critical for building snappy user experiences.

Yep. You can run `list_projects` and then get specific details using `get_project_details`. Because the data streams, your user sees the project lifecycle updates happen as they're pulled.

You simply call `log_time_registration` through your agent. The result streams back, letting you confirm the hours worked immediately in the UI, which is way better than a loading state.

It exposes core professional services data: organizations, individual contacts (`list_crm_persons`), projects, invoices, and time logs. Everything needed to run a Benelux service firm is right here.

The server manages organization and contact data. Since you're using the Vercel AI SDK, your agent only pulls the specific data types it needs for that request, keeping things tight.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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