Bring Pdf Tools
to Vercel AI SDK
Learn how to connect Stirling PDF to Vercel AI SDK and start using 11 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Stirling PDF MCP Server?
Connect your Stirling PDF instance to any AI agent and take full control of your document workflows through natural conversation. This server allows you to process PDF files, convert formats, and monitor your self-hosted infrastructure.
What you can do
- Document Manipulation — Add text watermarks with custom opacity and font sizes, or convert images directly into PDF documents.
- Digital Security — Sign PDF documents using certificates with specific reasons and location metadata.
- Server Monitoring — Track application status, version info, and detailed request metrics (POST/GET) across all endpoints.
- Advanced Operations — Use the generic tool runner to access specialized features like merging, splitting, or extracting images from PDFs.
- Enterprise Metrics — Access Prometheus metrics for deep observability into your document processing pipeline.
How it works
- Subscribe to this server
- Enter your Stirling PDF Base URL and API Key
- Start processing documents from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Developers — Automate PDF processing tasks directly from your IDE or terminal.
- System Administrators — Monitor the health and load of your Stirling PDF instance in real-time.
- Legal & Admin Teams — Quickly sign or watermark documents without leaving your AI chat interface.
Built-in capabilities (11)
Add a watermark to a PDF document
Sign a PDF document with a certificate
Get POST requests count for all endpoints
Get unique users count for all endpoints
Get total count of GET requests
Get Prometheus metrics (requires Enterprise tier)
Get total count of POST requests
Get application status and version information
Get count of unique users for POST requests
Convert an image to a PDF document
Pass additional parameters as a JSON string. Run any Stirling PDF tool by its ID
Why Vercel AI SDK?
The Vercel AI SDK gives every Stirling PDF tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 11 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
- —
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 Stirling PDF integration everywhere
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Built-in streaming UI primitives let you display Stirling PDF 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
Stirling PDF in Vercel AI SDK
Stirling PDF and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Stirling PDF 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 | 4,000+ 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 Stirling PDF in Vercel AI SDK
The Stirling PDF 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 11 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
Stirling PDF for Vercel AI SDK
Every tool call from Vercel AI SDK to the Stirling PDF MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I add a text watermark to a PDF document using this server?
Yes! Use the add_watermark tool. You can specify the text, font size, and opacity to apply a professional watermark to any PDF file provided in base64 format.
How do I monitor the traffic and load on my Stirling PDF instance?
You can use get_requests to see POST counts, get_load for GET requests, or get_prometheus_metrics if you are on the Enterprise tier for detailed observability.
Is it possible to perform other operations like merging or splitting PDFs?
Yes, the run_generic_tool action allows you to execute any Stirling PDF tool by its ID (e.g., 'merge-pdfs' or 'split-pages') by passing the required parameters.
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
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