Bring Pdf Generation
to Vercel AI SDK
Learn how to connect Docamatic to Vercel AI SDK and start using 8 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Docamatic MCP Server?
Connect your Docamatic account to any AI agent and take full control of your document automation and media production workflows through natural conversation.
What you can do
- Document Orchestration — Convert raw HTML strings or live website URLs into professional, high-fidelity PDF and image files programmatically
- Template Intelligence — Create invoices, packing slips, and certificates by injecting dynamic data into predefined built-in templates directly through your agent
- PDF Manipulation — Draw new elements (text, QR codes, images) onto existing PDF documents or merge multiple files into a single finalized document
- Visual Intelligence — Capture high-quality full-page screenshots of any live website with automatic JavaScript rendering handling
- Workflow Monitoring — Access your complete directory of recently generated documents and monitor your production history directly from your agent
How it works
1. Subscribe to this server
2. Retrieve your API Key from your Docamatic account settings
3. Start generating and modifying professional documents from Claude, Cursor, or any MCP client
No more manual document formatting or complex rendering pipelines. Your AI acts as your dedicated document engineer and media production coordinator.
Who is this for?
- Finance & Admin Teams — instantly generate professional invoices and reports using natural language commands
- Developers & Ops — automate the creation of technical documentation and capture website snapshots without leaving your terminal
- Marketing Professionals — scale the production of dynamic certificates and visual collateral through simple AI queries
Built-in capabilities (8)
Draw text or images onto an existing PDF
Convert HTML or URL to Image
Convert HTML or URL to PDF
g. invoice1, packing_slip1) with JSON data. Generate a PDF from a predefined template
List common document templates
List recently generated documents
Combine several PDF files into one
Handles rendering automatically. Capture a full-page website screenshot
Why Vercel AI SDK?
The Vercel AI SDK gives every Docamatic 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.
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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 Docamatic integration everywhere
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Built-in streaming UI primitives let you display Docamatic 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
Docamatic in Vercel AI SDK
Docamatic and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Docamatic 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 Docamatic in Vercel AI SDK
The Docamatic 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 8 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
Docamatic for Vercel AI SDK
Every tool call from Vercel AI SDK to the Docamatic 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 Docamatic API Key?
Log in to your account and navigate to the API Key section in your settings to generate or copy your unique access token.
Can I use my own custom HTML strings?
Yes! The generate_pdf_from_html and generate_image_from_html tools accept raw HTML strings as source input.
Does it support merging existing PDF files?
Absolutely. Use the merge_multiple_pdfs tool and provide an array of public URLs to combine them into a single PDF document.
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