How to Use the Alai MCP in Google ADK

Q: Can I filter Alai tools for Google ADK?

Yes, pass a list of tool names to the toolnames filter. This restricts the agent to only using the functions you explicitly authorize.

Deploy enterprise marketing bots on Google ADK using the Alai MCP Server to turn raw photos into professional assets.

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Connect Alai MCP to Google ADK

Create your Vinkius account to connect Alai 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 Alai with Google ADK

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Generate headshots using Google ADK tools

Call `generate_content` within your Google ADK agent to transform casual photos into professional portraits. Your agent handles the image data flow as part of a larger enterprise workflow. If you need to verify the connection first, use `check_getalai_status`. This confirms the server is reachable before you trigger resource-heavy generation tasks.

Sync campaign data in Google Cloud

Use `list_campaigns` to pull your active marketing initiatives into your agent's long-context window. Gemini can analyze these records alongside your BigQuery data. When you need details on a specific project, `get_campaign` returns the metadata you need. This allows for complex reasoning over your entire marketing history.

Control asset lifecycles with Google ADK

Your agent can use `list_assets` to find specific files before performing batch operations. It then uses `get_asset` to grab the precise metadata required for your report. This gives your agent total control over your library. You avoid manual file management by letting the agent prune or retrieve content as the business requires.

Setup guide

Set up Alai 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 Alai 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="Alai_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Alai tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Alai MCP in Google ADK

Use the McpToolset class with your server URL. You then pass this toolset into your LlmAgent to expose the Alai functions to your Gemini models.

The toolset is compatible with Gemini's large context windows. You can feed the output of your asset lists directly into the model for high-level analysis.

Yes, pass a list of tool names to the tool_names filter. This restricts the agent to only using the functions you explicitly authorize.

Every request is routed through a V8 isolate sandbox. This isolates your agent's environment from external threats while it communicates with the server.

Personal images are treated as transient input. The server deletes these files immediately after the portrait processing logic completes.

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