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

Built by Vinkius GDPR 12 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add PDF.co as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Ask AI about this App Connector for LlamaIndex

The PDF.co app connector for LlamaIndex 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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to PDF.co. "
            "You have 12 tools available."
        ),
    )

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

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.

LlamaIndex agents combine PDF.co tool responses with indexed documents for comprehensive, grounded answers. Connect 12 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex

When LlamaIndex 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 LlamaIndex via MCP

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

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
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

Why Use LlamaIndex with the PDF.co MCP Server

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

01

Data-first architecture: LlamaIndex agents combine PDF.co tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain PDF.co tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query PDF.co, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what PDF.co tools were called, what data was returned, and how it influenced the final answer

PDF.co + LlamaIndex Use Cases

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

01

Hybrid search: combine PDF.co real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query PDF.co to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying PDF.co for fresh data

04

Analytical workflows: chain PDF.co queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for PDF.co in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

PDF.co + LlamaIndex FAQ

Common questions about integrating PDF.co MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query PDF.co tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.