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HiFlow MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Create Customer, Get Activity, Get Customer, and more

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The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect HiFlow through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Ask AI about this MCP Server for Vercel AI SDK

The HiFlow MCP Server for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 12 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using HiFlow, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
HiFlow
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About HiFlow MCP Server

The HiFlow MCP server bridges your AI agent with your enterprise workflows. Trigger processes, approve pending steps, and query real-time process states through a seamless conversational interface.

The Vercel AI SDK gives every HiFlow tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

The HiFlow MCP Server exposes 12 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 12 HiFlow tools available for Vercel AI SDK

When Vercel AI SDK connects to HiFlow through Vinkius, your AI agent gets direct access to every tool listed below — spanning workflow-automation, bpm, process-management, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

create

Create customer on HiFlow

Create a new customer

get

Get activity on HiFlow

Retrieve activity dashboard information

get

Get customer on HiFlow

Retrieve details for a specific customer

get

Get estimate on HiFlow

Retrieve details for a specific estimate

get

Get invoice on HiFlow

Retrieve details for a specific invoice

get

Get job on HiFlow

Retrieve details for a specific job

get

Get me on HiFlow

Retrieve information about the current user

list

List customers on HiFlow

List all customers

list

List estimates on HiFlow

List all estimates (quotes)

list

List invoices on HiFlow

List all invoices

list

List jobs on HiFlow

List all jobs/projects

list

List timesheets on HiFlow

List all timesheet entries

Connect HiFlow to Vercel AI SDK via MCP

Follow these steps to wire HiFlow into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 12 tools from HiFlow and passes them to the LLM

Why Use Vercel AI SDK with the HiFlow MCP Server

Vercel AI SDK provides unique advantages when paired with HiFlow through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same HiFlow integration everywhere

03

Built-in streaming UI primitives let you display HiFlow tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

HiFlow + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the HiFlow MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query HiFlow in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate HiFlow tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed HiFlow capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with HiFlow through natural language queries

Example Prompts for HiFlow in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with HiFlow immediately.

01

"List my pending approvals."

02

"Start the 'Employee Onboarding' process for John Doe."

03

"Approve task ID 9481."

Troubleshooting HiFlow MCP Server with Vercel AI SDK

Common issues when connecting HiFlow to Vercel AI SDK through Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

HiFlow + Vercel AI SDK FAQ

Common questions about integrating HiFlow MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

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