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How to Use the Serviceform MCP in Vercel AI SDK

Stream live lead data and chat history into your UI using Serviceform with Vercel AI SDK.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

Serviceform MCP on Cursor AI Code Editor MCP Client Serviceform MCP on Claude Desktop App MCP Integration Serviceform MCP on OpenAI Agents SDK MCP Compatible Serviceform MCP on Visual Studio Code MCP Extension Client Serviceform MCP on GitHub Copilot AI Agent MCP Integration Serviceform MCP on Google Gemini AI MCP Integration Serviceform MCP on Lovable AI Development MCP Client Serviceform MCP on Mistral AI Agents MCP Compatible Serviceform MCP on Amazon AWS Bedrock MCP Support
MCP Servers — Included with Plan
Vinkius runs on Vercel AI SDK

Connect Serviceform MCP to Vercel AI SDK

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

GDPR Included with Plan

Key Capabilities

Get real-time lead details

Need to check a specific contact? You call `get_lead` and get the full record data streamed directly into your React component. This means users see the updated info without waiting for a page reload. It's perfect for building dashboards that show immediate status updates. Your agent can fetch details using this MCP tool, giving you instant feedback in the UI.

Manage spaces and assets

Use `list_spaces` to grab a list of available data containers. Then, call `get_space_items` with a specific space ID to populate your component's state. The result streams back, letting you render the items live. This is how you show users all their configured assets in real time. Your AI client handles the whole flow—from calling the MCP server to updating your front end.

Track customer conversations

To review past interactions, call `list_chats` and pass criteria as a JSON string. You get back an array of conversation histories that you can map directly in Next.js. It's super useful for debugging or building support tools. Your agent uses this MCP tool to pull chat records, giving your user visibility into the entire history.

Setup guide

Set up Serviceform 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. 1

    Install dependencies

    Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 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. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all Serviceform tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 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 Serviceform transactions",
});

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Serviceform. 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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

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

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Serviceform MCP in Vercel AI SDK

You call `list_leads` through the MCP server. The result streams directly to your UI, letting you display captured leads instantly as they appear. This makes your application feel fast and responsive.
Absolutely. Use `list_forms` to get a list of all active forms. Your agent handles the call, and you'll stream the names and IDs right into your component's state.
The MCP server touches various data types, including lead details, chat history records, and form definitions. You get full access to the structured data from each tool call.
You can call `list_chatbots` to see all configured bots. The streaming result helps you build a UI that shows the chatbot list update in real time.
This server handles lead records, chat transcripts, and space items. You'll be working with structured JSON objects for all the data you pull using this MCP Server.

Start using the Serviceform MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 7 tools

We've already built the connector for Serviceform. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 7 tools are live and waiting. You're up and running in seconds.

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