How to Use the HTMLCSSToImage MCP in Google ADK
Turn long-context data into formatted images using HTMLCSSToImage and your Google ADK pipelines.
Works with every AI agent you already use
…and any MCP-compatible client
Connect HTMLCSSToImage MCP to Google ADK
Create your Vinkius account to connect HTMLCSSToImage 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.
Data-driven image generation
Gemini models excel at parsing massive datasets from BigQuery, but stakeholders want visual reports, not JSON arrays. The `create_image_from_template` tool bridges this gap by injecting that structured data into predefined CSS layouts. You avoid spending tokens on repetitive boilerplate. The agent simply calls `edit_template` if a font or color needs adjusting, keeping the heavy lifting focused on the actual data extraction.
Enterprise batch processing
Processing an entire enterprise database means you cannot wait for sequential renders. Your agent can group up to 25 records and fire them off using `batch_create_images`. This approach maximizes throughput when generating thousands of personalized email banners. If a run fails validation later, `batch_delete_images` wipes the entire cohort from storage instantly.
Google ADK MCP Server control
Not every agent in your fleet needs access to the full toolset. You can restrict the exposed actions using the tool_names filter in your setup. A reporting agent might only get `get_image` and `list_images` to fetch existing charts. Meanwhile, an admin agent retains `delete_image` and `get_usage` to manage storage limits and API quotas.
Set up HTMLCSSToImage 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 HTMLCSSToImage 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="HTMLCSSToImage_agent",
model="gemini-2.0-flash",
instruction="You have access to HTMLCSSToImage 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 HTMLCSSToImage. 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 HTMLCSSToImage MCP in Google ADK
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