PDF Munk MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Add Watermark, Check Pdfmunk Status, Compress Pdf, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add PDF Munk 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 Munk app connector for LlamaIndex is a standout in the Productivity 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 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 Munk. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in PDF Munk?"
)
print(response)
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 Munk MCP Server
Connect your PDF Munk account to any AI agent and simplify your document generation, file manipulation, and visual asset orchestration through natural conversation.
LlamaIndex agents combine PDF Munk 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
- PDF Generation — Convert raw HTML or public website URLs into high-quality PDF documents for invoices, reports, and more
- Image Creation — Generate PNG/JPG screenshots and social cards from any web page URL programmatically
- Document Manipulation — Merge multiple PDF files into one or compress existing PDFs to optimize storage and sharing
- Visual Feedback — Receive hosted URLs or base64 strings for every generated asset directly through your agent
- Direct Control — Power your document workflows and content pipeline without leaving your conversation
The PDF Munk 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 Munk tools available for LlamaIndex
When LlamaIndex connects to PDF Munk through Vinkius, your AI agent gets direct access to every tool listed below — spanning pdf-generation, file-compression, html-to-image, 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.
Add watermark
Verify connectivity
Compress PDF
Generate image
Generate PDF from HTML
Generate from template
Generate PDF from URL
Capture screenshot
Get template details
List templates
Merge PDFs
Split PDF
Connect PDF Munk to LlamaIndex via MCP
Follow these steps to wire PDF Munk into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the PDF Munk MCP Server
LlamaIndex provides unique advantages when paired with PDF Munk through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine PDF Munk tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain PDF Munk tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query PDF Munk, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what PDF Munk tools were called, what data was returned, and how it influenced the final answer
PDF Munk + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the PDF Munk MCP Server delivers measurable value.
Hybrid search: combine PDF Munk real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query PDF Munk to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying PDF Munk for fresh data
Analytical workflows: chain PDF Munk queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for PDF Munk in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with PDF Munk immediately.
"Convert 'https://google.com' to a PDF document."
"Generate a shipping label PDF for order #ORD-4521 with customs declaration data."
"Convert my HTML report template into a paginated PDF with headers and footers."
Troubleshooting PDF Munk MCP Server with LlamaIndex
Common issues when connecting PDF Munk to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpPDF Munk + LlamaIndex FAQ
Common questions about integrating PDF Munk MCP Server with LlamaIndex.