Pydantic AISDK

Stirling PDF MCP Server

Bring Pdf Tools
to Pydantic AI

Name: Stirling PDF MCP Server
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

Learn how to connect Stirling PDF to Pydantic AI 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 Subscribers

Add WatermarkCert SignGet All RequestsGet All Unique RequestsGet LoadGet Prometheus MetricsGet RequestsGet StatusGet Unique RequestsImg To PdfRun Generic Tool

Unlock for AI Agents

Ask AI about this MCP Server ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

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_watermark

Add a watermark to a PDF document

cert_sign

Sign a PDF document with a certificate

get_all_requests

Get POST requests count for all endpoints

get_all_unique_requests

Get unique users count for all endpoints

get_load

Get total count of GET requests

get_prometheus_metrics

Get Prometheus metrics (requires Enterprise tier)

get_requests

Get total count of POST requests

get_status

Get application status and version information

get_unique_requests

Get count of unique users for POST requests

img_to_pdf

Convert an image to a PDF document

run_generic_tool

Pass additional parameters as a JSON string. Run any Stirling PDF tool by its ID

Why Pydantic AI?

Pydantic AI validates every Stirling PDF tool response against typed schemas, catching data inconsistencies at build time. Connect 11 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

—
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
—
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Stirling PDF integration code
—
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
—
Dependency injection system cleanly separates your Stirling PDF connection logic from agent behavior for testable, maintainable code

See it in action

Stirling PDF in Pydantic AI

AI Agent→Vinkius

High Security·Kill Switch·Plug and Play

Why Vinkius

Stirling PDF and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Stirling PDF to Pydantic AI 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.

4,000+MCP Servers ready

<40msCold start

60%Token savings

	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

Unlock for AI Agents View step-by-step setup guide for Pydantic AI →

Enterprise Security

Why teams choose Vinkius for Stirling PDF in Pydantic AI

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 Pydantic AI 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.

Unlock for AI Agents View full Stirling PDF details →

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

The Vinkius Advantage

How Vinkius secures
Stirling PDF for Pydantic AI

Every tool call from Pydantic AI to the Stirling PDF MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start

Ed25519Signed audit chain

60%Token savings

FAQ

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 Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Stirling PDF MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Explore More MCP Servers

View all →

Diffbot

10 tools

Automate web data extraction via Diffbot — turn any website into structured JSON data for articles, products, discussions, and more directly from any AI agent.