How to Use the Clever Cloud (Developer PaaS API) MCP in Google ADK

Q: How do I set up the Clever Cloud (Developer PaaS API) MCP Server in Google ADK?

Install google-adk and initialize an McpToolset with StreamableHttpServerParameters. Pass that toolset to your LlmAgent. The agent will read the available tools automatically.

Q: How do I filter which MCP tools the agent can access?

Use the toolnames parameter in your McpToolset configuration. This lets you expose getapplication while blocking destructive actions like deleteapplication.

Control Clever Cloud deployments from Google ADK agents using Gemini's massive context window.

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Connect Clever Cloud (Developer PaaS API) MCP to Google ADK

Create your Vinkius account to connect Clever Cloud (Developer PaaS API) 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 Clever Cloud (Developer PaaS API) with Google ADK

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Manage PaaS infrastructure via MCP Server

Enterprise teams running Google Cloud still use specialized PaaS providers. This MCP integration lets your Google ADK agent talk directly to Clever Cloud. You pass the Vinkius URL into `McpToolset` and the agent gains instant infrastructure control. Gemini models swallow massive payloads without choking. When you pull raw output from `get_application_logs`, the agent reads thousands of lines of output. It finds the exact deployment error hidden deep in the stack trace.

Cross-reference PaaS data with BigQuery

Siloed infrastructure data slows down incident response. Your LlmAgent can fetch active resources using `list_applications` and `list_instances`. It takes that raw list and joins it against your internal GCP billing tables. Provisioning new resources happens in the same workflow. The agent evaluates your BigQuery metrics, decides you need more capacity, and calls `provision_addon`. You build autonomous scaling logic in pure Python.

Organize multi-tenant deployments

Agencies juggle dozens of client accounts. Calling `list_organizations` gives the agent a map of your entire portfolio. It can then drill down using `list_organization_applications` to audit specific client setups. Creating new environments takes seconds. The agent executes `create_organization` followed by `create_application` based on a template. It handles the boring setup work while you focus on the actual code.

Setup guide

Set up Clever Cloud (Developer PaaS API) 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 Clever Cloud (Developer PaaS API) 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="Clever Cloud (Developer PaaS API)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Clever Cloud (Developer PaaS API) tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Clever Cloud (Developer PaaS API) MCP in Google ADK

Install `google-adk` and initialize an `McpToolset` with `StreamableHttpServerParameters`. Pass that toolset to your `LlmAgent`. The agent will read the available tools automatically.

Gemini's context window handles log files easily. The agent runs `get_application_logs` and analyzes the output. You do not need to parse the JSON manually.

Any model supported by the framework can call these tools. You just point the agent at the Vinkius endpoint. The framework maps the LLM outputs to the required API arguments.

Use the `tool_names` parameter in your `McpToolset` configuration. This lets you expose `get_application` while blocking destructive actions like `delete_application`.

We run every connection in an ephemeral V8 Isolate. Your internal organization IDs and server logs pass through memory and disappear. Zero-trust architecture means nothing gets written to disk.

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