How to Use the Gamma (AI Presentations) MCP in Google ADK

Q: Does Google ADK support filtering tools from Gamma (AI Presentations)?

Yes. You can use an optional toolnames filter to restrict which operations your agent can perform on your documents.

Connect your Google ADK agents to Gamma (AI Presentations). Turn your BigQuery insights into polished decks automatically.

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Connect Gamma (AI Presentations) MCP to Google ADK

Create your Vinkius account to connect Gamma (AI Presentations) 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 Gamma (AI Presentations) with Google ADK

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Generate presentations directly from Google ADK

Use `create_gamma` to convert your analytical findings into visual slides. It integrates with your existing agents to turn raw numbers into clear, professional documents. Your agent controls the entire generation lifecycle. By passing the right parameters, you get a finished deck without ever opening the editor.

Manage your workspace from the Google ADK environment

The `list_gammas` tool gives your agents a clear view of your library. Use `get_gamma` to pull specific details when you need to cross-reference data. This creates a tight loop between your cloud data and your presentation layer. Your agents stay informed about every file currently in your workspace.

Modify and maintain slides with Google ADK

Keep your decks current with `update_gamma` as your underlying data shifts. It ensures your visual output is always aligned with your latest findings. If a presentation is no longer needed, `delete_gamma` removes it instantly. It keeps your workspace tidy and prevents data bloat.

Setup guide

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

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Why Choose Vinkius

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Common questions about Gamma (AI Presentations) MCP in Google ADK

Use the McpToolset class provided by the ADK. Provide your Vinkius endpoint URL to initialize the connection and expose the tools to your agent.

Yes. You can use an optional tool_names filter to restrict which operations your agent can perform on your documents.

Absolutely. The server is designed to work with high-token models that need to reason about many documents at once.

You only need the endpoint token provided by Vinkius. The server handles the authentication handshake for you.

Data is transmitted over encrypted channels only. The MCP Server operates in a sandboxed environment, ensuring no unauthorized access to your workspace.

Use it with your favorite AI tools

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