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Clientify MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 10 tools to Create Activity, Create Contact, Create Deal, and more

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

Use with Your AI Agent

Ask AI about this App Connector for Vercel AI SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Clientify app connector for Vercel AI SDK is a standout in the Marketing Automation category — giving your AI agent 10 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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 Clientify, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Clientify
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About Clientify MCP Server

Connect your Clientify CRM account to any AI agent and streamline your entire sales process through natural conversation.

The Vercel AI SDK gives every Clientify tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

What you can do

  • Contact Management — List, create, and update contacts with deep inspection of custom fields and social metadata.
  • Sales Pipelines — Track deals across different stages, update amounts, and assign opportunities to specific pipelines.
  • Task Scheduling — Create and manage activities like calls, meetings, and follow-ups to never miss a lead.
  • Team Visibility — List account users and collaborators to understand your organizational structure.
  • Automated Insights — Fetch real-time summaries of your sales activities and deal progress.

The Clientify MCP Server exposes 10 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 10 Clientify tools available for Vercel AI SDK

When Vercel AI SDK connects to Clientify through Vinkius, your AI agent gets direct access to every tool listed below — spanning lead-capture, pipeline-management, email-marketing, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_activity

Create a new activity or task

create_contact

Create a new contact in Clientify

create_deal

Create a new sales deal

get_contact

Get details for a specific contact

list_activities

List all tasks and activities

list_contacts

Supports filtering by email for precise lookups. List all contacts from Clientify

list_deals

List all deals/opportunities

list_pipelines

List all deal pipelines

list_users

List all account users

update_contact

Update an existing contact

Connect Clientify to Vercel AI SDK via MCP

Follow these steps to wire Clientify into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the 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 10 tools from Clientify and passes them to the LLM

Why Use Vercel AI SDK with the Clientify MCP Server

Vercel AI SDK provides unique advantages when paired with Clientify 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 Clientify integration everywhere

03

Built-in streaming UI primitives let you display Clientify 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

Clientify + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Clientify in Vercel AI SDK

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

01

"Show me all active deals in the main pipeline."

02

"Create a new contact for John Doe (john@example.com)."

03

"List all team members who have access to this account."

Troubleshooting Clientify MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Clientify + Vercel AI SDK FAQ

Common questions about integrating Clientify 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.