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How to Use the Netease Yunxin IM MCP in Google ADK

Connect Google ADK agents to Netease Yunxin IM for large-scale, data-driven chat operations on Google Cloud.

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Google ADK

Connect Netease Yunxin IM MCP to Google ADK

Create your Vinkius account to connect Netease Yunxin IM 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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Connect BigQuery to Your Chat Rooms

Turn your Gemini agent into a bridge between your data and your community. It can `create_im_user` based on new entries in a BigQuery table or `update_im_user` profiles with fresh data. Your chat platform stays in sync with your central data warehouse. Because Google ADK agents excel at long-context reasoning, they can analyze a user's full history from your database before taking action. An agent can check past behavior before deciding to `unblock_im_user`, making smarter moderation choices.

Run Communities with Your Agent

Your agent can now manage an entire live event. It starts by using `create_chatroom`, then pulls a guest list with `get_chatroom_members`. From there, it can send targeted announcements using `send_custom_message`. This isn't just a passive chatbot. With this MCP Server, your Google ADK agent has the tools to act on what it observes. It can spot a problem user and immediately use `mute_chatroom_member` without waiting for a person to intervene.

Scale User and Chat Room Management

This toolset is built for managing users and rooms at scale. Your agent can script the creation and removal of thousands of users or rooms. The `create_im_user` and `destroy_chatroom` tools are your agent's direct controls for managing the environment. When you're operating on Google Cloud, you expect things to scale. This MCP Server for Netease Yunxin IM is no different. It gives your agent the raw ability to execute management tasks across a massive user base.

Setup guide

Set up Netease Yunxin IM 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 Netease Yunxin IM 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="Netease Yunxin IM_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Netease Yunxin IM 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 Netease Yunxin. 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 Netease Yunxin IM MCP in Google ADK

You instantiate the `McpToolset` with your Vinkius server URL. The ADK then fetches the available tools, like `create_chatroom` and `send_text_message`, and makes them available to your Gemini agent.
Yes, the `McpToolset` constructor in the Google ADK accepts a `tool_names` filter. This lets you expose only a specific subset of tools, like `send_text_message` and `recall_message`, while hiding administrative ones.
You connect Google's powerful, long-context Gemini models to a real-world communication platform. Your agent can reason over huge amounts of data from BigQuery and then take direct action using Netease Yunxin IM tools like `block_im_user`.
The MCP Server handles its own authentication separately. You get a single endpoint token from Vinkius to access all the Netease Yunxin IM tools. Your agent uses this token in its requests.
The server processes only the specific data an action requires, like a chatroom ID for `destroy_chatroom` or a user profile for `update_im_user`. Your connection is secured by a Vinkius token, and our sandboxes are ephemeral, meaning no data persists after a tool runs.

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