How to Use the An API of Ice And Fire MCP in Google ADK

Q: How do I register An API of Ice And Fire tools in Google ADK?

Install google-adk and define an McpToolset with your Vinkius HTTP endpoint. Pass this toolset into the tools list of your LlmAgent configuration.

Q: Can I limit Gemini to only query specific books?

Yes, you can configure the toolset to only expose getbook and listbooks. This prevents the Gemini agent from calling character or house tools.

Feed Westeros lore into Google ADK agents to power deep-reasoning Gemini workflows with BigQuery integration.

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Connect An API of Ice And Fire MCP to Google ADK

Create your Vinkius account to connect An API of Ice And Fire 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 An API of Ice And Fire with Google ADK

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Cross-Reference BigQuery Data using Google ADK

Connect your enterprise cloud databases directly to Westeros history. By exposing `list_houses` and `get_house` via this MCP toolset, your Gemini models can join internal research with fantasy data. The setup uses standard streamable HTTP parameters. Pass the toolset directly into your `LlmAgent` to let Gemini determine which noble family rules which region.

Analyze 1M Token Contexts via MCP Server

Gemini models excel at massive context windows. Use `list_characters` to pull thousands of Westeros characters and feed them directly into your agent's active memory for complex network analysis. The model can parse complex relationships across `get_character` responses. You do not need to worry about token limits when running deep historical queries over the entire Ice and Fire database.

Filter Literary Datasets on Google Cloud

Use `list_books` and `get_book` to filter the publication history of the series. Your agent can run these lookups to build structured datasets for further processing in Vertex AI. You can restrict exposed tools using the optional tool names filter. If your agent only needs book facts, you can hide the character and house tools entirely to keep the model focused.

Setup guide

Set up An API of Ice And Fire 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 An API of Ice And Fire 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="An API of Ice And Fire_agent",
    model="gemini-2.0-flash",
    instruction="You have access to An API of Ice And Fire tools via MCP.",
    tools=mcp_tools,
)

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Common questions about An API of Ice And Fire MCP in Google ADK

Install `google-adk` and define an `McpToolset` with your Vinkius HTTP endpoint. Pass this toolset into the `tools` list of your `LlmAgent` configuration.

Yes, you can write agents that query your BigQuery tables and then use `get_house` or `get_character` to enrich that data with fantasy lore in a single execution loop.

This MCP integration supports both Stdio and Streamable HTTP transports. For hosted cloud environments, we recommend using the HTTP transport to connect your agents.

Yes, you can configure the toolset to only expose `get_book` and `list_books`. This prevents the Gemini agent from calling character or house tools.

All requests to fetch Westeros character and book data run through Vinkius's isolated sandbox. Your Google Cloud credentials and internal datasets are never shared with the public API.

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