Clustdoc 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 Clustdoc 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 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 client onboarding and document collection through natural conversation. Streamline how you manage complex applications and workflows natively.
The Vercel AI SDK gives every Clustdoc 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
- Template Oversight — List and retrieve details for all onboarding workflow templates configured in your account natively
- Dossier Intelligence — Access and monitor individual client applications (dossiers) and their current progress flawlessly
- Application Lifecycle — Launch new onboarding sessions for clients using pre-defined templates securely
- Invitation Logistics — Trigger automated portal invitation emails to clients directly from your chat interface flawlessly
- Team Management — List all teams and members within your Clustdoc account to manage access flawlessly
- integrated Visibility — Retrieve detailed application metadata including status and contact information directly within your workspace
The Clustdoc 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 Clustdoc to Vercel AI SDK via MCP
Follow these steps to integrate the Clustdoc 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 Clustdoc and passes them to the LLM
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
Clustdoc MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect Clustdoc to Vercel AI SDK via MCP:
get_application_status_details
Get detailed status and progress for a specific client dossier
get_my_clustdoc_profile
Retrieve information about the authenticated user
get_workflow_configuration
Get detailed configuration for a specific onboarding template
launch_new_onboarding
Launch a new onboarding application for a client
list_client_dossiers
List all active and completed client applications (dossiers)
list_clustdoc_teams
List all teams and members in the Clustdoc account
list_onboarding_templates
List all onboarding workflow templates
send_onboarding_invitation
Send the portal invitation email to the client for a specific dossier
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 active client dossiers in Clustdoc."
"Launch a new 'Standard Business Onboarding' for john@example.com."
"What is the status of the dossier for 'TechFlow Inc'?"
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.Connect Clustdoc 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 Clustdoc to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.