WeCom / 企业微信 MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect WeCom / 企业微信 through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="WeCom / 企业微信 Assistant",
instructions=(
"You help users interact with WeCom / 企业微信. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from WeCom / 企业微信"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About WeCom / 企业微信 MCP Server
Empower your AI agent to orchestrate your enterprise operations with WeCom (Enterprise WeChat), the dominant business communication platform in China. By connecting WeCom to your agent, you transform complex organization management and internal communication into a natural conversation. Your agent can instantly list departments, retrieve employee profiles, monitor attendance data, and even send messages to staff members without you needing to navigate the comprehensive WeCom Admin Backend. Whether you are managing a large-scale workforce or a specific internal application, your agent acts as a real-time operations assistant, keeping your data accurate and your team aligned.
The OpenAI Agents SDK auto-discovers all 10 tools from WeCom / 企业微信 through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries WeCom / 企业微信, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Organization Orchestration — List all departments and retrieve detailed employee profiles across your company.
- Staff Communication — Send instant text messages to any user in your organization directly through the chat interface.
- Attendance Monitoring — Retrieve real-time check-in data for employees to audit workforce activity.
- Tag & Group Management — Browse organization tags and identify users belonging to specific functional groups.
- Application Insights — Retrieve metadata about your internal apps, including custom menu configurations.
The WeCom / 企业微信 MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect WeCom / 企业微信 to OpenAI Agents SDK via MCP
Follow these steps to integrate the WeCom / 企业微信 MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from WeCom / 企业微信
Why Use OpenAI Agents SDK with the WeCom / 企业微信 MCP Server
OpenAI Agents SDK provides unique advantages when paired with WeCom / 企业微信 through the Model Context Protocol.
Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
WeCom / 企业微信 + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the WeCom / 企业微信 MCP Server delivers measurable value.
Automated workflows: build agents that query WeCom / 企业微信, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries WeCom / 企业微信, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through WeCom / 企业微信 tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query WeCom / 企业微信 to resolve tickets, look up records, and update statuses without human intervention
WeCom / 企业微信 MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect WeCom / 企业微信 to OpenAI Agents SDK via MCP:
get_app_details
Get application agent details
get_attendance_data
Get employee attendance/checkin data
get_department
Get department info
get_tag_users
Get users with a specific tag
get_user
Get user details
list_departments
List all departments
list_menu
Get app custom menu
list_tags
List all organization tags
list_users
List users in a department
send_message
Send a text message to a user
Example Prompts for WeCom / 企业微信 in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with WeCom / 企业微信 immediately.
"List all departments in our organization."
"Send a message to user 'Mario' saying 'The deployment is complete'."
"Show me the attendance data for 'mario,renato' from today."
Troubleshooting WeCom / 企业微信 MCP Server with OpenAI Agents SDK
Common issues when connecting WeCom / 企业微信 to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
WeCom / 企业微信 + OpenAI Agents SDK FAQ
Common questions about integrating WeCom / 企业微信 MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect WeCom / 企业微信 with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect WeCom / 企业微信 to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.