How to Use the WeCom / 企业微信 MCP in Google ADK

Q: How do I use WeCom / 企业微信 features with Google ADK?

Your agent uses the McpToolset wrapper. It treats all MCP tools as structured data sources, allowing you to run complex joins in BigQuery that combine WeCom data with your existing enterprise datasets.

Q: Can I list departments using WeCom / 企业微信 and Google ADK?

Yes. The listdepartments tool pulls the necessary organizational structure details. This output is then available for querying within BigQuery, helping you map relationships.

Q: Does the MCP Server support checking app details for WeCom / 企业微信 with Google ADK?

The getappdetails tool pulls metadata about the application agent, giving your agent visibility into how the underlying system is configured.

Q: If I need user lists via WeCom / 企业微信 and Google ADK, what is the data type?

The server provides listusers and getuser, returning structured records containing names, IDs, department affiliations, and contact details.

Connect WeCom / 企业微信 Ops data to BigQuery using Google ADK.

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Connect WeCom / 企业微信 MCP to Google ADK

Create your Vinkius account to connect WeCom / 企业微信 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 WeCom / 企业微信 with Google ADK

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Analyze Attendance Records with MCP Server

You use `get_attendance_data` and feed those records straight into your Vertex AI pipeline. Instead of just seeing a list, you can calculate average late arrivals or track departmental compliance. This mechanism lets BigQuery handle the heavy lifting, correlating WeCom attendance data with other enterprise metrics for deep reporting.

Identify Users and Departments via Google ADK

When you need to find specific employees, `get_user` or running a search through `list_tags` works great. The results are typed and passed directly into your agent's context. This ensures that when the agent acts on a user ID, it's using validated data from Google Cloud infrastructure.

Send Targeted Messages via WeCom / 企业微信

The `send_message` tool allows your agent to push out communications based on criteria defined in BigQuery. You can filter users by department or tag before sending the message. This structured approach means messages are always routed correctly and tied back to a verifiable user profile.

Setup guide

Set up WeCom / 企业微信 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 WeCom / 企业微信 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="WeCom / 企业微信_agent",
    model="gemini-2.0-flash",
    instruction="You have access to WeCom / 企业微信 tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by WeCom / 企业微信. 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 WeCom / 企业微信 MCP in Google ADK

Your agent uses the `McpToolset` wrapper. It treats all MCP tools as structured data sources, allowing you to run complex joins in BigQuery that combine WeCom data with your existing enterprise datasets.

Yes. The `list_departments` tool pulls the necessary organizational structure details. This output is then available for querying within BigQuery, helping you map relationships.

The platform handles department info, user records, tag lists, custom application menus, and employee attendance logs. All are structured for BigQuery ingestion.

The `get_app_details` tool pulls metadata about the application agent, giving your agent visibility into how the underlying system is configured.

The server provides `list_users` and `get_user`, returning structured records containing names, IDs, department affiliations, and contact details.

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