CaptivateIQ 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 CaptivateIQ 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 CaptivateIQ, 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 CaptivateIQ MCP Server
Connect your CaptivateIQ account to any AI agent and orchestrate your incentive compensation, commission tracking, and payroll integration workflows through natural conversation.
The Vercel AI SDK gives every CaptivateIQ 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
- Payout Oversight — List and retrieve detailed metadata for all processed commission payouts across your organization.
- Statement Management — Access individualized payout statements for employees to verify earnings and calculations.
- Employee Coordination — List and retrieve detailed profiles for all employees, including their plan designations and hierarchy.
- Workbook Monitoring — Access and list your calculation workbooks and worksheets to ensure transparency in your commission logic.
- Dispute Tracking — Monitor and list commission inquiries or disputes directly from your workspace.
- Financial Reporting — Retrieve core account and integration information straight from your workspace.
The CaptivateIQ 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 CaptivateIQ to Vercel AI SDK via MCP
Follow these steps to integrate the CaptivateIQ 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 CaptivateIQ and passes them to the LLM
Why Use Vercel AI SDK with the CaptivateIQ MCP Server
Vercel AI SDK provides unique advantages when paired with CaptivateIQ 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 CaptivateIQ integration everywhere
Built-in streaming UI primitives let you display CaptivateIQ 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
CaptivateIQ + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the CaptivateIQ MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query CaptivateIQ in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate CaptivateIQ tools and return structured JSON responses to any frontend
Chatbots with tool use: embed CaptivateIQ capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with CaptivateIQ through natural language queries
CaptivateIQ MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect CaptivateIQ to Vercel AI SDK via MCP:
get_account_status
Retrieve core account/integration information
get_employee_details
Get details of a specific employee
list_commission_inquiries
List commission disputes and inquiries (generic search)
list_commission_payouts
List all processed commission payouts
list_employees
List all employee records and plan designations
list_payout_statements
List individualized payout statements for employees
list_workbooks
List all calculation workbooks
list_worksheets
List all calculation worksheets
Example Prompts for CaptivateIQ in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with CaptivateIQ immediately.
"List all processed commission payouts in CaptivateIQ."
"Show the payout statement for employee John Doe."
"Which calculation workbooks are available in my account?"
Troubleshooting CaptivateIQ MCP Server with Vercel AI SDK
Common issues when connecting CaptivateIQ to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpCaptivateIQ + Vercel AI SDK FAQ
Common questions about integrating CaptivateIQ 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 CaptivateIQ 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 CaptivateIQ to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.