How to Use the Linode (Akamai) MCP in Google ADK

Q: How do I configure the Linode (Akamai) MCP Server within Google ADK?

Install google-adk and declare a McpToolset pointing to your Vinkius HTTP URL. Pass this toolset to your LlmAgent to let Gemini invoke tools like createlinode natively.

Q: Can Gemini use Google ADK to modify existing Linode (Akamai) instances?

Yes. Your agent can run updatelinode to change labels, tags, or allowed IPs on any active compute instance.

Q: How do I restrict which Linode (Akamai) MCP tools Google ADK can access?

Use the toolnames filter when initializing the McpToolset in your Python code. This lets you block destructive tools like deletelinode while keeping read-only tools active.

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Setup Linode (Akamai) with Google ADK

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Ground Gemini reasoning in actual instance state

Your agent runs `get_linode` to pull real-time infrastructure context into your Google ADK agent. By calling this tool, Gemini inspects actual system specs instead of guessing machine configurations. This real-time grounding prevents the model from generating stale deployment plans. Your agent uses the returned IP addresses to configure external load balancers.

Manage Kubernetes clusters from enterprise pipelines

Executing `create_lke_cluster` allows your Google ADK agent to provision managed Kubernetes environments. The agent matches incoming workload requirements with the right node sizes. To monitor the cluster lifecycle, the agent runs `list_lke_clusters` to check provisioning progress. This keeps your deployment pipeline moving without manual polling.

Audit user access and accounts

Calling `list_users` pulls the current list of active accounts and permissions on your Linode account. Your Google ADK agent cross-references this list against your internal directory to flag unauthorized access. You can also run `get_account` to monitor usage metrics. This helps your agent calculate real-time infrastructure costs and suggest budget optimizations.

Setup guide

Set up Linode (Akamai) 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 Linode (Akamai) 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="Linode (Akamai)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Linode (Akamai) tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Linode (Akamai) MCP in Google ADK

Install `google-adk` and declare a `McpToolset` pointing to your Vinkius HTTP URL. Pass this toolset to your `LlmAgent` to let Gemini invoke tools like `create_linode` natively.

Yes. Your agent can run `update_linode` to change labels, tags, or allowed IPs on any active compute instance.

Use the `tool_names` filter when initializing the `McpToolset` in your Python code. This lets you block destructive tools like `delete_linode` while keeping read-only tools active.

Gemini's million-token context window easily digests the complete payload from `list_linodes`. The model extracts specific IP addresses or tags without hitting context limits.

Yes. Your sensitive API credentials are encrypted at rest by Vinkius and never exposed to the LLM context. The agent only executes high-level tools like `get_account` without accessing raw secrets.

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