How do I find my Docamatic API Key?

Log in to your account and navigate to the **API Key** section in your settings to generate or copy your unique access token.

Can I use my own custom HTML strings?

Yes! The `generate_pdf_from_html` and `generate_image_from_html` tools accept raw HTML strings as source input.

Does it support merging existing PDF files?

Absolutely. Use the `merge_multiple_pdfs` tool and provide an array of public URLs to combine them into a single PDF document.

INSTANT PLUG AND PLAY

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

Name: Docamatic
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 8 Tools Framework

Connect your CrewAI agents to Docamatic through Vinkius, pass the Edge URL in the `mcps` parameter and every Docamatic tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Use with Your AI Agent

Ask AI about this App Connector for CrewAI

Open in ChatGPT Open in Claude Open in Perplexity

The Docamatic app connector for CrewAI 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

from crewai import Agent, Task, Crew

agent = Agent(
    role="Docamatic Specialist",
    goal="Help users interact with Docamatic effectively",
    backstory=(
        "You are an expert at leveraging Docamatic tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Docamatic "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 8 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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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.

When paired with CrewAI, Docamatic becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Docamatic tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI

When CrewAI 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 CrewAI via MCP

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

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 8 tools from Docamatic

Why Use CrewAI with the Docamatic MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Docamatic through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Docamatic + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Docamatic for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Docamatic, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Docamatic tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Docamatic against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for Docamatic in CrewAI

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

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

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

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

Troubleshooting Docamatic MCP Server with CrewAI

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Docamatic + CrewAI FAQ

Common questions about integrating Docamatic MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.