How to Use the Cloudmersive MCP in Google ADK

Q: Can I limit which Cloudmersive tools are exposed to my Google ADK agent?

Yes, you can use the optional toolnames filter when initializing the toolset. This allows you to restrict the agent's access to specific tools, like only exposing validateemail while hiding document conversion.

Give your Google ADK enterprise agents the tools to validate data and convert docs inside your Google Cloud pipelines.

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Connect Cloudmersive MCP to Google ADK

Create your Vinkius account to connect Cloudmersive 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 Cloudmersive with Google ADK

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Clean BigQuery intake pipelines automatically

This MCP Server cleanses your pipeline inputs before they reach your data warehouse. Your agent invokes `validate_email`, `validate_phone`, and `validate_domain` to verify user records before writing them to BigQuery. Instead of running heavy SQL cleanup scripts after the fact, your agent sanitizes records at the edge. This keeps your analytical datasets clean and prevents downstream reporting errors.

Inject clean text into Google ADK long-context windows

Use `convert_html_to_text` to strip raw markup from web pages before feeding them into Gemini's million-token context. This tool reduces token waste by removing boilerplates, scripts, and CSS, leaving only the raw text your model needs. For binary files, the agent calls `convert_doc_to_pdf` to standardize incoming formats. This ensures your enterprise search agents always parse documents in a predictable, structured layout.

Scan external links during live agent runs

This server exposes real-time security tools like `scan_url` and `get_url_metadata` to protect your internal systems. When your agent fetches external resources for analysis, it first runs a threat scan to block malicious payloads. This adds a critical layer of defense for automated research agents. It prevents prompt injection or malware downloads from compromising your Vertex AI environments.

Setup guide

Set up Cloudmersive 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 Cloudmersive 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="Cloudmersive_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Cloudmersive 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 Cloudmersive. 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.

Why Choose Vinkius

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Real-time monitoring

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

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Common questions about Cloudmersive MCP in Google ADK

Import McpToolset from the SDK and initialize it with your Vinkius HTTP endpoint. Pass this toolset directly into your LlmAgent configuration to integrate your MCP tools directly.

Yes, you can use the optional `tool_names` filter when initializing the toolset. This allows you to restrict the agent's access to specific tools, like only exposing `validate_email` while hiding document conversion.

The MCP Server scales automatically inside the Vinkius V8 sandbox to handle high-throughput workloads. Your agent can dispatch multiple parallel validation requests, such as `validate_phone` or `validate_domain`, without hitting bottlenecks.

Yes, your agent can fetch the image from your bucket, pass the binary data to `resize_image` or `get_image_info`, and then write the processed file back to Cloud Storage.

All image files, PDFs, and phone numbers are processed in a highly secure, ephemeral container. We do not persist any of your enterprise data, ensuring complete compliance with your existing Google Cloud security posture.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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