Bring Client Onboarding
to Vercel AI SDK
Learn how to connect Clustdoc to Vercel AI SDK and start using 6 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the 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.
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
How it works
1. Subscribe to this server
2. Retrieve your API Token (Bearer) from your Clustdoc dashboard (Settings > API)
3. Start managing your client pipeline from Claude, Cursor, or any MCP client
No more manual following up on missing files or digging through student/client folders in the portal. Your AI acts as your dedicated onboarding specialist and document coordinator.
Who is this for?
- Account Managers & Legal Teams — instantly retrieve application summaries and check document completion using natural language commands
- Operations Specialists — automate the creation of new client files and track progress without leaving your communication tools
- Real Estate & HR Leads — monitor incoming tenant or employee applications and retrieve finalized PDFs through simple AI queries
Built-in capabilities (6)
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
Why Vercel AI SDK?
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.
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TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
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Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Clustdoc integration everywhere
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Built-in streaming UI primitives let you display Clustdoc tool results progressively in React, Svelte, or Vue components
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Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Clustdoc in Vercel AI SDK
Clustdoc and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Clustdoc to Vercel AI SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Clustdoc in Vercel AI SDK
The Clustdoc 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. All 6 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Vercel AI SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Clustdoc for Vercel AI SDK
Every tool call from Vercel AI SDK to the Clustdoc MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I find my Clustdoc API Token?
Log in to your account, navigate to Settings > API, and generate or copy your unique Bearer Token.
Can I start a specific onboarding process via AI?
Yes! The create_application tool allows you to specify a process_id to trigger the exact workflow template you need.
How do I check document completion status?
Use the get_application_details tool with an application ID to retrieve high-fidelity metadata including the current step and completion progress.
How does the Vercel AI SDK connect to MCP servers?
Import 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?
Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
Does it support streaming tool results?
Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp