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Vinkius

Cloze MCP Server for Vercel AI SDK 9 tools — connect in under 2 minutes

Built by Vinkius GDPR 9 Tools SDK

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

Vinkius supports streamable HTTP and SSE.

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

main();
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* 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 Cloze MCP Server

Cloze is a smart CRM that automatically tracks your interactions and provides AI-powered insights to manage your relationships, projects, and deals. Through this MCP server, your AI agent can effortlessly pull contact histories, lookup custom tags, verify relationship strengths, and update ongoing project states without breaking your workflow.

The Vercel AI SDK gives every Cloze tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 9 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 Cloze MCP Server exposes 9 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.

How to Connect Cloze to Vercel AI SDK via MCP

Follow these steps to integrate the Cloze MCP Server with Vercel AI SDK.

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 9 tools from Cloze and passes them to the LLM

Why Use Vercel AI SDK with the Cloze MCP Server

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

03

Built-in streaming UI primitives let you display Cloze 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

Cloze + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Cloze MCP Tools for Vercel AI SDK (9)

These 9 tools become available when you connect Cloze to Vercel AI SDK via MCP:

01

create_person

Provide at least name or email. Create a new person in Cloze

02

create_project

Create a new project, deal, or property in Cloze

03

get_person

Retrieve detailed information about a specific person by email

04

list_companies

Retrieve a list of companies from Cloze

05

list_custom_fields

Retrieve definitions for custom fields in your Cloze account

06

list_people

Retrieve a list of people (contacts) from Cloze

07

list_projects

Retrieve a list of projects, properties, or deals from Cloze

08

search_people_by_tag

Find contacts that have a specific tag

09

update_person

Email is used as the match key. Update an existing person in Cloze (matching by email)

Example Prompts for Cloze in Vercel AI SDK

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

01

"Get all details for the person with email 'sarah@example.com' in Cloze."

02

"Show me my active projects in Cloze."

03

"Find all contacts tagged with 'VIP' in Cloze."

Troubleshooting Cloze MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Cloze + Vercel AI SDK FAQ

Common questions about integrating Cloze 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.

Connect Cloze to Vercel AI SDK

Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.