How to Use the Netease Yunxin / 网易云信 MCP in Google ADK

Q: How do I connect Netease Yunxin / 网易云信 in Google ADK?

Use the McpToolset class. Provide the Vinkius URL in the server parameters and pass the set to your LlmAgent configuration.

Q: Does Google ADK support Netease Yunxin / 网易云信 tool filtering?

You can use the toolnames parameter to restrict which tools your agent can access. This limits the agent to only the messaging or management actions you allow.

Q: Can I use Netease Yunxin / 网易云信 with long-context Gemini models in Google ADK?

Yes. The history retrieved by getsessionhistory feeds directly into your long-context prompt, letting your agent reason over massive chat logs.

Integrate Google ADK with Netease Yunxin / 网易云信. Build agents that manage chat infrastructure and messaging on Google Cloud.

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Connect Netease Yunxin / 网易云信 MCP to Google ADK

Create your Vinkius account to connect Netease Yunxin / 网易云信 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 Netease Yunxin / 网易云信 with Google ADK

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Manage Netease Yunxin / 网易云信 groups

Your agent controls team membership through `add_team_member` and `kick_team_member`. It is a simple way to keep your chat groups updated as your user base changes. Use `get_team_detail` to verify the state of a group. Your agent can check the member list before pushing a message to ensure accuracy.

Push messages from Google ADK

Automate your communication loop. Your agent uses `send_p2p_message` to talk to individual users. It allows for event-driven updates that trigger immediately. Scale your reach with `send_batch_message`. Your agent handles the heavy lifting, ensuring your broadcast reaches the right audience without extra manual steps.

Sync Netease Yunxin / 网易云信 logs

Pull the data you need for analysis. Use `get_session_history` to grab past messages. It is perfect for feeding conversation context into Gemini models. Your agent can also use `refresh_user_token` to maintain a valid session. It keeps your connection to the IM service alive without intervention.

Setup guide

Set up Netease Yunxin / 网易云信 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 Netease Yunxin / 网易云信 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 / 网易云信_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Netease Yunxin / 网易云信 tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Netease Yunxin / 网易云信 MCP in Google ADK

Use the `McpToolset` class. Provide the Vinkius URL in the server parameters and pass the set to your `LlmAgent` configuration.

You can use the `tool_names` parameter to restrict which tools your agent can access. This limits the agent to only the messaging or management actions you allow.

Yes. The history retrieved by `get_session_history` feeds directly into your long-context prompt, letting your agent reason over massive chat logs.

It uses standard HTTP or Stdio transports. All requests originate from your agent environment and route through the managed Vinkius gateway.

The server handles account and message data. Your agent only sees the specific objects returned by the tools, keeping your primary data sources separate.

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