Custify MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Custify 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 Custify, 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 Custify MCP Server
Integrate Custify, the comprehensive customer success platform, directly into your AI workflow. Monitor customer health, track churn risks, and manage your success tasks and notes using natural language.
The Vercel AI SDK gives every Custify 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
- Customer Oversight — List and retrieve detailed profiles, health scores, and churn probabilities for all customers.
- Company Monitoring — Access company-level metrics and success data to manage B2B relationships effectively.
- Success Task Management — List and track open tasks and internal CRM notes for your accounts.
- KPI Discovery — Explore key performance indicators and metrics defined in your Custify account.
The Custify 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.
How to Connect Custify to Vercel AI SDK via MCP
Follow these steps to integrate the Custify 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 10 tools from Custify and passes them to the LLM
Why Use Vercel AI SDK with the Custify MCP Server
Vercel AI SDK provides unique advantages when paired with Custify 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 Custify integration everywhere
Built-in streaming UI primitives let you display Custify 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
Custify + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Custify MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Custify in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Custify tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Custify capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Custify through natural language queries
Custify MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Custify to Vercel AI SDK via MCP:
create_customer_profile
Resolves the newly generated customer ID and validation status. Mutates the customer database state. Create a new customer profile in Custify
get_company_details
Resolves organizational attributes and health metrics. Touches the core company repository. Get detailed settings and metrics for a specific company
get_customer_details
Resolves health scores, recent activity, and segment membership. Interacts with the behavioral analytics boundary. Get full profile and health metrics for a specific customer
list_companies
Resolves company IDs, domain information, and association metrics. Touches the account-level organization boundary. List all companies in Custify
list_customer_kpis
Resolves metric definitions and threshold values. Interacts with the performance monitoring boundary. List key performance indicators defined in the account
list_customer_notes
Resolves note content and authorship metadata. Touches the internal communications boundary. List internal CRM notes for a specific customer
list_customer_success_tasks
Resolves task priority, status, and assigned owners. Interacts with the workflow automation boundary. List open and completed customer success tasks
list_customers
Resolves properties such as customer ID, name, email, and lifecycle stage. Interacts with the customer success management boundary. List all customers in Custify
list_people
Resolves contact details and account associations. Touches the relationship management boundary. List all people associated with accounts
search_customers_by_keyword
Resolves matching customer profiles based on name or email. Touches the search and indexing boundary. Search for customers by name or email
Example Prompts for Custify in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Custify immediately.
"List all customers with a health score below 50."
"Show me the success tasks for company 'Alpha Corp'."
"Search for customer 'john.doe@example.com'."
Troubleshooting Custify MCP Server with Vercel AI SDK
Common issues when connecting Custify to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpCustify + Vercel AI SDK FAQ
Common questions about integrating Custify 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 Custify 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 Custify to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.