How to Use the iLovePDF MCP in Google ADK

Q: Can google-adk restrict which iLovePDF tools my Gemini agent can access?

Yes, you can use the toolnames parameter when initializing your toolset to filter the exposed MCP Server tools. This lets you limit the agent to safe tools like gettaskstatus while blocking dangerous ones.

Q: What is the best way to monitor active document tasks?

Have your agent call listpdftasks to get an overview of recent operations. For detailed tracking on a specific file, use gettaskstatus with the corresponding task ID.

Run enterprise iLovePDF tasks directly from your Gemini agents using the Google ADK to process high-volume documents.

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Connect iLovePDF MCP to Google ADK

Create your Vinkius account to connect iLovePDF to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup iLovePDF with Google ADK

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Run enterprise document tasks via Google ADK

This MCP Server lets your agents ingest raw files directly from Cloud Storage or external URIs using `upload_pdf_by_url`. Once the files are staged, your agent uses `start_pdf_task` to queue operations like merging or splitting. The model tracks progress natively, ensuring your enterprise pipelines run without stalling.

Process long-context documents with Gemini models

The `process_pdf_task` tool gives your agent a clean way to handle raw PDF formatting by compressing heavy files. While analyzing complex files, the agent uses `list_pdf_tasks` to manage active operations in the background. This keeps your document processing pipelines aligned with your main analytical tasks.

Connect BigQuery data pipelines to iLovePDF tools

The `upload_pdf_by_url` tool lets you feed file paths stored in BigQuery directly into your agent's active workspace. After running the required operations, the agent calls `get_pdf_download_link` to fetch the output. You can then write this new URL back to BigQuery to keep your records updated automatically.

Setup guide

Set up iLovePDF 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 iLovePDF 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="iLovePDF_agent",
    model="gemini-2.0-flash",
    instruction="You have access to iLovePDF 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 iLovePDF. 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 iLovePDF MCP in Google ADK

Use the McpToolset class with your Vinkius HTTP endpoint URL to expose the document tools. Pass this toolset directly into the tools list of your LlmAgent constructor.

Yes, you can use the tool_names parameter when initializing your toolset to filter the exposed MCP Server tools. This lets you limit the agent to safe tools like `get_task_status` while blocking dangerous ones.

The framework relies on asynchronous execution where the agent calls `start_pdf_task` and polls `get_task_status`. This avoids timeout issues when handling large files over HTTP.

Have your agent call `list_pdf_tasks` to get an overview of recent operations. For detailed tracking on a specific file, use `get_task_status` with the corresponding task ID.

All raw PDF binaries and remote file links are routed through secure HTTPS connections to the processing endpoints. Vinkius runs the server in an ephemeral V8 sandbox, meaning no files are cached or stored on the hosting server.

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