Clustdoc MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 6 tools to Create Application, Get Application Details, List Applications, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Clustdoc through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this App Connector for Vercel AI SDK
The Clustdoc app connector for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 6 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Clustdoc, 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 Clustdoc MCP Server
Connect your Clustdoc account to any AI agent and take full control of your professional client onboarding and automated document collection workflows through natural conversation.
The Vercel AI SDK gives every Clustdoc tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 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
- Application Orchestration — List and manage all active client applications programmatically, including monitoring completion percentages and real-time status changes
- Document Architecture — Organize and track the collection of critical business documents (KYC, contracts, IDs) by initializing high-fidelity application folders directly from your agent
- Workflow Intelligence — Access your directory of onboarding processes (templates) to ensure every new client follows the perfect perfectly coordinated legal and operational path
- Team Coordination — Retrieve directories of organization users and monitor team activities to oversee high-volume onboarding pipelines efficiently
- Operational Monitoring — Check active webhooks and retrieve specific application metadata directly through your agent for instant auditing and reporting
The Clustdoc MCP Server exposes 6 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 6 Clustdoc tools available for Vercel AI SDK
When Vercel AI SDK connects to Clustdoc through Vinkius, your AI agent gets direct access to every tool listed below — spanning client-onboarding, document-collection, intake-workflows, 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.
Pass data as a JSON string. Create a new application
Get specific application details
List all client applications
List all team members
List all configured webhooks
List all onboarding workflow processes
Connect Clustdoc to Vercel AI SDK via MCP
Follow these steps to wire Clustdoc into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Clustdoc MCP Server
Vercel AI SDK provides unique advantages when paired with Clustdoc 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 Clustdoc integration everywhere
Built-in streaming UI primitives let you display Clustdoc 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
Clustdoc + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Clustdoc MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Clustdoc in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Clustdoc tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Clustdoc capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Clustdoc through natural language queries
Example Prompts for Clustdoc in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Clustdoc immediately.
"List all my active client applications in Clustdoc."
"Create a new onboarding file for 'John Doe' using the 'KYC' process."
"Show me the list of all onboarding team members."
Troubleshooting Clustdoc MCP Server with Vercel AI SDK
Common issues when connecting Clustdoc to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpClustdoc + Vercel AI SDK FAQ
Common questions about integrating Clustdoc 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.