How to Use the AniList GraphQL MCP in Google ADK

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Connect AniList GraphQL MCP to Google ADK

Create your Vinkius account to connect AniList GraphQL 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 AniList GraphQL with Google ADK

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Search anime metadata using Google ADK

Your agent uses `search_media` and `get_staff` to build context for long-running reasoning tasks. It pulls specific production data from the database in real-time. Google ADK integrates these operations into your agent's toolset. It allows your model to reference exact release dates and cast lists during complex reasoning steps.

Automate list updates in Google ADK

The `save_media_list_entry` tool lets your agent modify your watchlists based on user prompts. It writes updates back to your account automatically. This keeps your data current without you touching a UI. Your agent acts as a persistent manager for your anime library.

Manage user settings with Google ADK

Use `update_user` to change your profile settings or preferences via your agent. It gives you a conversational interface to adjust your account parameters. Your agent executes these changes safely. It follows the structure defined by the MCP server to ensure all updates reach the backend correctly.

Setup guide

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

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Common questions about AniList GraphQL MCP in Google ADK

Every tool exposed by the server is available to your agent. You can filter them using the tool_names argument if you need to restrict access.

Pass the McpToolset object into your LlmAgent constructor. The framework handles the connection to the Vinkius server automatically.

Your agent runs in an isolated environment. Only the specific tokens you provide are used to authorize calls, ensuring your account data stays private.

Yes, the Gemini models in your ADK framework can process the large responses returned by the server. It handles the data flow efficiently.

The server uses a zero-trust model. Your credentials reside in the Vinkius sandbox, and we never expose your private list entries to the model beyond the scope of a requested task.

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