Clientify MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
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.
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Vinkius supports streamable HTTP and SSE.
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();
* 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 Clientify MCP Server
Connect your Clientify CRM account to any AI agent and take full control of your sales and marketing automation through natural conversation. Streamline how you manage contacts, deals, and daily activities natively.
The Vercel AI SDK gives every Clientify tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 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 Oversight — List and retrieve details for all contacts including tags and status natively
- Deal Intelligence — Access and monitor sales opportunities and deal values flawlessly
- Activity Auditing — List and review CRM activities such as calls, emails, and meetings securely
- Pipeline Logistics — Monitor sales pipelines to understand your revenue flow flawlessly
- Company Management — List all companies stored in your account to maintain B2B relationships securely
- User Visibility — Access your own profile and CRM metadata directly within your workspace flawlessly
The Clientify MCP Server exposes 8 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 Clientify to Vercel AI SDK via MCP
Follow these steps to integrate the Clientify MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 8 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.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Clientify integration everywhere
Built-in streaming UI primitives let you display Clientify tool results progressively in React, Svelte, or Vue components
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.
AI-powered web apps: build dashboards that query Clientify in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Clientify tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Clientify capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Clientify through natural language queries
Clientify MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect Clientify to Vercel AI SDK via MCP:
get_contact_crm_details
Get detailed information for a specific contact
get_deal_details
Get detailed information for a specific sales deal
get_my_clientify_profile
Retrieve information about the authenticated CRM user
list_clientify_companies
List all companies stored in Clientify
list_clientify_contacts
List all contacts in Clientify CRM
list_crm_activities
List CRM activities such as calls, emails, and meetings
list_sales_deals
List sales opportunities and deals
list_sales_pipelines
List sales pipelines configured in the account
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.
"List my last 5 sales deals in Clientify."
"Show me the details for contact ID '12345'."
"List all active CRM pipelines."
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.
createMCPClient is not a function
npm install @ai-sdk/mcpClientify + Vercel AI SDK FAQ
Common questions about integrating Clientify MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Clientify with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Clientify to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.