Bring Workflow Automation
to Vercel AI SDK
Learn how to connect Nutrient Workflow to Vercel AI SDK and start using 10 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Nutrient Workflow MCP Server?
Connect your Nutrient Workflow (formerly Integrify) environment to any AI agent and streamline your enterprise automation and task management through natural conversation.
What you can do
- Process Control — List all published workflow processes and retrieve detailed configuration metadata
- Request Management — Start new workflow instances and track the status of active or historical requests
- Task Execution — Query pending tasks for any user and complete them programmatically with form data
- System Overview — List registered users and available reports to monitor your organizational efficiency
How it works
1. Subscribe to this server
2. Enter your Tenant ID, Host, and API Key from your system settings
3. Start managing your enterprise workflows from Claude, Cursor, or any MCP-compatible client
Built-in capabilities (10)
Complete a workflow task
Get details for a specific process
Get details for a specific request
Get details for a specific task
List Nutrient Workflow processes
List available reports
List active workflow requests
List pending tasks for a user
List tenant users
Start a new workflow request
Why Vercel AI SDK?
The Vercel AI SDK gives every Nutrient Workflow 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.
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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 Nutrient Workflow integration everywhere
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Built-in streaming UI primitives let you display Nutrient Workflow 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
Nutrient Workflow in Vercel AI SDK
Nutrient Workflow and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Nutrient Workflow 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 Nutrient Workflow in Vercel AI SDK
The Nutrient Workflow 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 10 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
Nutrient Workflow for Vercel AI SDK
Every tool call from Vercel AI SDK to the Nutrient Workflow MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I list all my business processes using my AI agent?
Yes! Use the list_processes tool to retrieve a full list of all published workflow processes in your tenant.
How do I start a new workflow request through this integration?
Simply provide the Process ID to the start_request tool. You can also pass initial form data as a JSON object.
Is it possible to complete a task via the AI agent?
Yes, use the complete_task action. Provide the Task ID and any required form data to progress the workflow.
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