cloudlayer.io MCP Server for Google ADK 8 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add cloudlayer.io as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="cloudlayerio_agent",
instruction=(
"You help users interact with cloudlayer.io "
"using 8 available tools."
),
tools=[mcp_tools],
)
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About cloudlayer.io MCP Server
Connect your cloudlayer.io account to any AI agent and take full control of your document and image generation through natural conversation. Streamline how you create pixel-perfect PDFs and website screenshots natively.
Google ADK natively supports cloudlayer.io as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 8 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
What you can do
- PDF Generation — Convert public URLs or raw HTML strings into high-quality PDF documents natively
- Screenshot Intelligence — Capture high-resolution screenshots of any web page in PNG, JPG, or WebP formats flawlessly
- Template Management — List and retrieve details for Nunjucks templates configured in your account flawlessly
- Generation History — Access a history of recent document and image generation tasks to track activity flawlessly
- Usage Auditing — Retrieve current usage statistics and quota information directly within your workspace securely
- Webhook Logistics — Monitor all configured webhooks for real-time generation notifications flawlessly
The cloudlayer.io MCP Server exposes 8 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect cloudlayer.io to Google ADK via MCP
Follow these steps to integrate the cloudlayer.io MCP Server with Google ADK.
Install Google ADK
Run pip install google-adk
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Create the agent
Save the code above and integrate into your ADK workflow
Explore tools
The agent will discover 8 tools from cloudlayer.io via MCP
Why Use Google ADK with the cloudlayer.io MCP Server
Google ADK provides unique advantages when paired with cloudlayer.io through the Model Context Protocol.
Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with cloudlayer.io
Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
Seamless integration with Google Cloud services means you can combine cloudlayer.io tools with BigQuery, Vertex AI, and Cloud Functions
cloudlayer.io + Google ADK Use Cases
Practical scenarios where Google ADK combined with the cloudlayer.io MCP Server delivers measurable value.
Enterprise data agents: ADK agents query cloudlayer.io and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine cloudlayer.io tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query cloudlayer.io regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including cloudlayer.io
cloudlayer.io MCP Tools for Google ADK (8)
These 8 tools become available when you connect cloudlayer.io to Google ADK via MCP:
capture_url_screenshot
Capture a high-quality screenshot (image) of a public URL
convert_html_to_pdf
Convert raw HTML string into a PDF document
convert_url_to_pdf
Convert a public URL into a high-quality PDF document
get_cloudlayer_usage_stats
Retrieve current usage and quota information
get_template_configuration
Get details for a specific generation template
list_cloudlayer_webhooks
List all configured webhooks for async notifications
list_generation_history
List recent document and image generation history
list_pdf_templates
List all Nunjucks templates configured in the account
Example Prompts for cloudlayer.io in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with cloudlayer.io immediately.
"Convert https://example.com to a PDF."
"Take a screenshot of https://news.google.com."
"Show me my generation history."
Troubleshooting cloudlayer.io MCP Server with Google ADK
Common issues when connecting cloudlayer.io to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkcloudlayer.io + Google ADK FAQ
Common questions about integrating cloudlayer.io MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
Connect cloudlayer.io with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
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Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect cloudlayer.io to Google ADK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.
