Bring Pdf Manipulation
to LangChain
Learn how to connect PDF.co to LangChain and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the 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.
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.
How it works
1. Subscribe to this server
2. Enter your PDF.co API Key from your dashboard settings
3. Start managing your document processing from Claude, Cursor, or any MCP-compatible client
No more manual data entry from scanned invoices. Your AI acts as a dedicated document analyst or data processing coordinator.
Who is this for?
- Data Analysts & Accountants — quickly extract tabular data from PDF reports and monitor financial records without switching apps.
- Operations Managers — automate the merging and splitting of logistics documents via natural conversation.
- Developers — integrate real-time PDF conversion and OCR capabilities directly within the chat.
Built-in capabilities (12)
Check async job status
Extract PDF metadata with AI
co account and credit balance. Get account information
Merge multiple PDFs
Perform OCR on an image
Convert PDF tables to CSV
Convert PDF to structured JSON
Convert PDF to plain text
Convert PDF to XML
Add password to PDF
Split a PDF
Remove password from PDF
Why LangChain?
LangChain's ecosystem of 500+ components combines seamlessly with PDF.co through native MCP adapters. Connect 12 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
- —
The largest ecosystem of integrations, chains, and agents. combine PDF.co MCP tools with 500+ LangChain components
- —
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
- —
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
- —
Memory and conversation persistence let agents maintain context across PDF.co queries for multi-turn workflows
PDF.co in LangChain
PDF.co and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect PDF.co to LangChain 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 PDF.co in LangChain
The PDF.co 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 12 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in LangChain 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
PDF.co for LangChain
Every tool call from LangChain to the PDF.co MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can my AI automatically find and extract a specific table from a PDF?
Yes! Use the convert_to_csv or convert_to_json tools. Your agent will respond with the structured tabular data from the document in seconds, ready for analysis.
How do I find my PDF.co API Key?
Log in to your PDF.co account, navigate to the main dashboard, and you will find your unique secret API key (starting with your email reference or key string) there.
Does this support handwritten text recognition?
Absolutely. PDF.co's high-fidelity OCR engine is designed to handle both printed and handwritten text with high accuracy across multiple languages.
How does LangChain connect to MCP servers?
Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
Which LangChain agent types work with MCP?
All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
Can I trace MCP tool calls in LangSmith?
Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters