How to Use the PDF Munk MCP in Google ADK
Feed enterprise BigQuery data into PDF Munk templates directly from your Google ADK pipelines for automated reporting.
Works with every AI agent you already use
…and any MCP-compatible client
Connect PDF Munk MCP to Google ADK
Create your Vinkius account to connect PDF Munk to Google ADK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Key Capabilities
Enterprise PDF generation from Google ADK data
PDF Munk connects your Gemini models directly to document engines using the `generate_pdf_from_html` tool inside the Google ADK environment. Your agent pulls raw data from BigQuery, formats it, and renders a clean PDF in seconds. For structured corporate styling, your Google ADK agent queries `get_template` to match layout schemas before running `generate_pdf_from_template`.
Automating document compilation with an MCP Server
Combining several reports into a unified document takes a single call to the `merge_pdfs` tool within your Google ADK pipeline. Your agent tracks file locations in Google Cloud Storage and passes them to this MCP Server for compilation. To keep network transfer fast, your Google ADK agent triggers `compress_pdf` to shrink file sizes before exporting to Cloud Storage. This keeps your delivery pipelines fast and resource-efficient.
Visual web captures and image generation
Capturing web-based dashboards is simple with the `generate_screenshot` tool running inside your Google ADK workflow. Your Gemini agent sends the target URL, grabs the image, and can analyze the visual layout using its native multimodal capabilities. When you need static assets, the `generate_image` tool outputs clean files that your Google ADK agent can analyze using multimodal vision. You can also use `add_watermark` to apply security labels to these assets before saving them.
Set up PDF Munk MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required. - 4
Run with any Gemini model
The agent works with any Gemini model (
gemini-2.0-flash,gemini-2.5-pro, etc.). Copy the full example on the right to get started with PDF Munk tools in your ADK agent.
from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams
# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
connection_params=SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
)
# Create your agent with auto-discovered tools
agent = LlmAgent(
name="PDF Munk_agent",
model="gemini-2.0-flash",
instruction="You have access to PDF Munk tools via MCP.",
tools=mcp_tools,
) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by PDF Munk. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about PDF Munk MCP in Google ADK
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