How to Use the WeCom / 企业微信 MCP in OpenAI Agents SDK
Automate WeCom / 企业微信 Comms and Ops using OpenAI Agents SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect WeCom / 企业微信 MCP to OpenAI Agents SDK
Create your Vinkius account to connect WeCom / 企业微信 to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Build Directory Services with the MCP Server
You start by calling `list_departments` to map out your entire company structure. This lets your agent understand which organizational units exist before it tries anything else. Then, you can run `get_user` or `list_users` against a department ID to get specific employee records. It's fast and accurate for populating contact lists automatically.
Execute Targeted Messaging with WeCom / 企业微信
Want to notify a whole group? You run `get_tag_users` first to pull all the IDs associated with a specific tag. This list feeds directly into the `send_message` tool, firing out personalized messages instantly. This process means you don't have to manually manage recipient lists. Just tell your agent who needs to hear from HR, and it gets it done.
Check Operational Status with MCP Server
Need to know who actually showed up today? The `get_attendance_data` tool pulls the latest check-in records for your team. It's immediate operational data that goes straight into your workflow. You can pair this with `list_tags` so you only pull attendance figures for, say, 'Remote Workers,' keeping the report clean and focused.
Set up WeCom / 企业微信 MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all WeCom / 企业微信 tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives WeCom / 企业微信 tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate WeCom / 企业微信 tools and returns structured results. Copy the full example on the right to get started.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse
async def main():
async with MCPServerSse(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as server:
agent = Agent(
name="WeCom / 企业微信 Agent",
instructions="You have access to WeCom / 企业微信 tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) 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.
Why Choose Vinkius
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Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about WeCom / 企业微信 MCP in OpenAI Agents SDK
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