PDF.co MCP Server for LangChainGive LangChain instant access to 12 tools to Check Job Status, Extract Pdf Meta, Get Account Info, and more
LangChain is the leading Python framework for composable LLM applications. Connect PDF.co through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
Ask AI about this App Connector for LangChain
The PDF.co app connector for LangChain 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
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"pdfco": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using PDF.co, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(main())
* 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.
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.
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 LangChain 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 LangChain
When LangChain 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 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
Connect PDF.co to LangChain via MCP
Follow these steps to wire PDF.co into LangChain. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the PDF.co MCP Server
LangChain provides unique advantages when paired with PDF.co through the Model Context Protocol.
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 + LangChain Use Cases
Practical scenarios where LangChain combined with the PDF.co MCP Server delivers measurable value.
RAG with live data: combine PDF.co tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query PDF.co, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain PDF.co tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every PDF.co tool call, measure latency, and optimize your agent's performance
Example Prompts for PDF.co in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with PDF.co immediately.
"Convert the PDF at 'https://example.com/invoice.pdf' to structured JSON."
"Convert the uploaded invoice PDF into a structured JSON with all line items extracted."
"Merge these 3 quarterly report PDFs into a single document and add page numbers."
Troubleshooting PDF.co MCP Server with LangChain
Common issues when connecting PDF.co to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersPDF.co + LangChain FAQ
Common questions about integrating PDF.co MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.