How to Use the Gotenberg MCP in Google ADK

Q: How do I integrate Gotenberg into Google ADK?

Use the McpToolset class with your server URL to link the tools. Once initialized, pass the toolset to your LlmAgent to start executing document operations.

Q: Can I filter tools when using Gotenberg with Google ADK?

Yes, you can use the toolnames filter in your configuration. This allows you to restrict the agent to only specific functions like mergepdfs or convertofficetopdf.

Q: Can I add bookmarks to PDFs in Google ADK?

You can use writepdfbookmarks to create a navigation structure in your documents. Use readpdfbookmarks if you need to extract existing paths from an imported file.

Integrate Gotenberg document generation into your Google ADK agent infrastructure.

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Setup Gotenberg with Google ADK

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Render reports via Google ADK

Use `convert_html_to_pdf` and `convert_url_to_pdf` to turn live web data into static reports. This is useful when your agents need to capture the state of a dashboard or web-based source for compliance. Since this MCP Server runs as a toolset, your agent can trigger these conversions based on logic derived from your BigQuery datasets.

Streamline PDF processing

Handle complex document tasks like `merge_pdfs` or `split_pdf` directly within your agent pipeline. Your agent can ingest multiple source files, combine them, and output a single PDF without manual intervention. This automation is perfect for generating consolidated financial reports or project summaries that require multiple input sources.

Audit document metadata

Use `read_pdf_metadata` to inspect document properties before your agent processes them. This ensures your agent is acting on the correct version of a file before applying any modifications. You can update these properties with `write_pdf_metadata` to maintain consistency across your document archive or regulatory filings.

Setup guide

Set up Gotenberg MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(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 Gotenberg tools in your ADK agent.

agent.py

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="Gotenberg_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Gotenberg tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Gotenberg. 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 Gotenberg MCP in Google ADK

Use the `McpToolset` class with your server URL to link the tools. Once initialized, pass the toolset to your `LlmAgent` to start executing document operations.

Yes, you can use the tool_names filter in your configuration. This allows you to restrict the agent to only specific functions like `merge_pdfs` or `convert_office_to_pdf`.

All document data is treated as transient memory. Your files are processed by the Gotenberg container and then discarded, ensuring that no document fragments persist in your agent's long-term storage.

Yes, the server is designed for high-throughput document conversion. You can monitor the service availability using `get_health` to ensure your agent pipelines remain stable.

You can use `write_pdf_bookmarks` to create a navigation structure in your documents. Use `read_pdf_bookmarks` if you need to extract existing paths from an imported file.

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