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PDF.co MCP Server for Pydantic AIGive Pydantic AI instant access to 12 tools to Check Job Status, Extract Pdf Meta, Get Account Info, and more

Built by Vinkius GDPR 12 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect PDF.co through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Ask AI about this App Connector for Pydantic AI

The PDF.co app connector for Pydantic AI is a standout in the Industry Titans category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to PDF.co "
            "(12 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in PDF.co?"
    )
    print(result.data)

asyncio.run(main())
PDF.co
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

About PDF.co MCP Server

Connect your PDF.co account to any AI agent and take full control of your document orchestration and data extraction through natural conversation. PDF.co provides a professional-grade suite of tools for PDF manipulation, allowing you to convert files to various formats, perform high-fidelity OCR on scanned images, and manage document security directly from your chat interface.

Pydantic AI validates every PDF.co tool response against typed schemas, catching data inconsistencies at build time. Connect 12 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.

What you can do

  • Document Conversion Orchestration — Convert PDFs and images to plain text, JSON, CSV, or XML programmatically to ensure your data pipelines are always synchronized.
  • High-Fidelity OCR Intelligence — Perform high-resolution OCR on scanned documents and handwritten text directly from the AI interface to extract critical metadata.
  • Data Extraction & Merging — Extract tables and metadata or merge multiple PDF files via natural language to maintain a high-fidelity document repository.
  • Security & Protection Control — Add or remove password protection and manage PDF security settings using simple AI commands.
  • Operational Monitoring — Track background job statuses and manage account balance to ensure your document production is always optimized.

The PDF.co MCP Server exposes 12 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 12 PDF.co tools available for Pydantic AI

When Pydantic AI connects to PDF.co through Vinkius, your AI agent gets direct access to every tool listed below — spanning pdf-manipulation, ocr, data-extraction, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

check_job_status

Check async job status

extract_pdf_meta

Extract PDF metadata with AI

get_account_info

co account and credit balance. Get account information

merge_pdfs

Merge multiple PDFs

ocr_image

Perform OCR on an image

pdf_to_csv

Convert PDF tables to CSV

pdf_to_json

Convert PDF to structured JSON

pdf_to_text

Convert PDF to plain text

pdf_to_xml

Convert PDF to XML

protect_pdf

Add password to PDF

split_pdf

Split a PDF

unprotect_pdf

Remove password from PDF

Connect PDF.co to Pydantic AI via MCP

Follow these steps to wire PDF.co into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install Pydantic AI

Run pip install pydantic-ai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 12 tools from PDF.co with type-safe schemas

Why Use Pydantic AI with the PDF.co MCP Server

Pydantic AI provides unique advantages when paired with PDF.co through the Model Context Protocol.

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your PDF.co integration code

03

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

04

Dependency injection system cleanly separates your PDF.co connection logic from agent behavior for testable, maintainable code

PDF.co + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the PDF.co MCP Server delivers measurable value.

01

Type-safe data pipelines: query PDF.co with guaranteed response schemas, feeding validated data into downstream processing

02

API orchestration: chain multiple PDF.co tool calls with Pydantic validation at each step to ensure data integrity end-to-end

03

Production monitoring: build validated alert agents that query PDF.co and output structured, schema-compliant notifications

04

Testing and QA: use Pydantic AI's dependency injection to mock PDF.co responses and write comprehensive agent tests

Example Prompts for PDF.co in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with PDF.co immediately.

01

"Convert the PDF at 'https://example.com/invoice.pdf' to structured JSON."

02

"Convert the uploaded invoice PDF into a structured JSON with all line items extracted."

03

"Merge these 3 quarterly report PDFs into a single document and add page numbers."

Troubleshooting PDF.co MCP Server with Pydantic AI

Common issues when connecting PDF.co to Pydantic AI through the Vinkius, and how to resolve them.

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

PDF.co + Pydantic AI FAQ

Common questions about integrating PDF.co MCP Server with Pydantic AI.

01

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.
02

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.
03

Can I switch LLM providers without changing MCP code?

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