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How to Use the Kitsu MCP in Google ADK

Give your Google ADK agents direct access to Kitsu to search manga and manage anime libraries on Google Cloud.

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Google ADK

Connect Kitsu MCP to Google ADK

Create your Vinkius account to connect Kitsu 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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Anime and Manga Search

The `list_anime` and `get_anime` tools allow your agent to fetch detailed show metadata directly from Kitsu. The agent searches by category, season, or text string to find exact matches. Gemini models hold over a million tokens in context. Your agent can pull hundreds of anime descriptions at once, compare them against your internal BigQuery datasets, and synthesize massive recommendation lists without dropping details.

Kitsu MCP Server Library Control

The `update_library_entry` and `create_library_entry` tools let the agent modify watch progress and manga reading states. The agent sends the new episode count or status directly to the Kitsu API. You can trigger these updates from Google Cloud infrastructure. If a Vertex AI pipeline detects a user finished a show, it calls the agent, which then hits the MCP tool to log that completion automatically.

Profile and History Sync

The `get_user` and `list_library_entries` tools extract a specific user's public profile and their entire anime or manga list. Your agent uses this to map out their viewing habits. This is exactly what you need when building enterprise-grade content systems. The agent reads the user's Kitsu history and feeds that structured data into your broader Gemini-powered analytics flow.

Setup guide

Set up Kitsu 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. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 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. 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. 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 Kitsu 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="Kitsu_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Kitsu tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Kitsu. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Kitsu MCP in Google ADK

Install the `google-adk` package. Define an `McpToolset` using `StreamableHttpServerParameters` pointing to your Vinkius endpoint. Pass that toolset to your `LlmAgent` initialization.
Yes. You can use the `tool_names` filter when setting up the toolset. This lets you restrict the agent to just `list_anime` if you don't want it modifying libraries.
It works perfectly. The agent can call `list_manga` repeatedly to dump massive amounts of series data into Gemini's context window for complex reasoning tasks.
You will need to handle backoff logic in your client application. The MCP server passes Kitsu API responses back to the agent, including any standard HTTP error codes.
The tools read and write your specific anime watch status, manga reading progress, and public profile text. Vinkius operates a zero-trust architecture. No persistent storage exists for your library data once the API call completes.

Start using the Kitsu MCP today

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