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Docamatic MCP Server for LlamaIndexGive LlamaIndex instant access to 8 tools to Add Elements To Pdf, Generate Image From Html, Generate Pdf From Html, and more

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LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Docamatic 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 Docamatic app connector for LlamaIndex is a standout in the Productivity category — giving your AI agent 8 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 Docamatic. "
            "You have 8 tools available."
        ),
    )

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

asyncio.run(main())
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About Docamatic MCP Server

Connect your Docamatic account to any AI agent and take full control of your document automation and media production workflows through natural conversation.

LlamaIndex agents combine Docamatic tool responses with indexed documents for comprehensive, grounded answers. Connect 8 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 Orchestration — Convert raw HTML strings or live website URLs into professional, high-fidelity PDF and image files programmatically
  • Template Intelligence — Create invoices, packing slips, and certificates by injecting dynamic data into predefined built-in templates directly through your agent
  • PDF Manipulation — Draw new elements (text, QR codes, images) onto existing PDF documents or merge multiple files into a single finalized document
  • Visual Intelligence — Capture high-quality full-page screenshots of any live website with automatic JavaScript rendering handling
  • Workflow Monitoring — Access your complete directory of recently generated documents and monitor your production history directly from your agent

The Docamatic MCP Server exposes 8 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 8 Docamatic tools available for LlamaIndex

When LlamaIndex connects to Docamatic through Vinkius, your AI agent gets direct access to every tool listed below — spanning pdf-generation, html-to-pdf, document-automation, 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_elements_to_pdf

Draw text or images onto an existing PDF

generate_image_from_html

Convert HTML or URL to Image

generate_pdf_from_html

Convert HTML or URL to PDF

generate_pdf_from_template

g. invoice1, packing_slip1) with JSON data. Generate a PDF from a predefined template

list_available_builtin_templates

List common document templates

list_generation_history

List recently generated documents

merge_multiple_pdfs

Combine several PDF files into one

take_web_screenshot

Handles rendering automatically. Capture a full-page website screenshot

Connect Docamatic to LlamaIndex via MCP

Follow these steps to wire Docamatic 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 8 tools from Docamatic

Why Use LlamaIndex with the Docamatic MCP Server

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

01

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

02

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

03

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

04

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

Docamatic + LlamaIndex Use Cases

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

01

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

02

Data enrichment: query Docamatic 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 Docamatic for fresh data

04

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

Example Prompts for Docamatic in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Docamatic immediately.

01

"Generate a professional PDF of the website 'https://vinkius.com'."

02

"Create an invoice for 'Acme Corp' using the 'invoice3' template."

03

"Take a full-page screenshot of 'https://news.google.com'."

Troubleshooting Docamatic MCP Server with LlamaIndex

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Docamatic + LlamaIndex FAQ

Common questions about integrating Docamatic 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 Docamatic 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.