How do I find my WeCom Corp ID and Secret?

Log in to the WeCom Admin Backend. Your Corp ID is in [My Company] → [Company Profile]. Your App Secret and Agent ID are in [Apps] → select your application.

Can I read attendance records for a group of users?

Yes. Use the `get_attendance_data` tool. You will need to provide a start time, end time, and a comma-separated list of user IDs to retrieve the records.

Does my application need specific permissions for messages?

Yes. Ensure your application has 'Messaging' permissions enabled in the WeCom Admin Backend and that the 'Trusted IPs' for your server are correctly configured.

WeCom / 企业微信 MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: WeCom / 企业微信
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect WeCom / 企业微信 through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "wecom": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using WeCom / 企业微信, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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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.

LangChain's ecosystem of 500+ components combines seamlessly with WeCom / 企业微信 through native MCP adapters. Connect 10 tools via the Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures — with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the WeCom / 企业微信 MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from WeCom / 企业微信 via MCP

Why Use LangChain with the WeCom / 企业微信 MCP Server

LangChain provides unique advantages when paired with WeCom / 企业微信 through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents — combine WeCom / 企业微信 MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across WeCom / 企业微信 queries for multi-turn workflows

WeCom / 企业微信 + LangChain Use Cases

Practical scenarios where LangChain combined with the WeCom / 企业微信 MCP Server delivers measurable value.

RAG with live data: combine WeCom / 企业微信 tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query WeCom / 企业微信, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain WeCom / 企业微信 tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every WeCom / 企业微信 tool call, measure latency, and optimize your agent's performance

WeCom / 企业微信 MCP Tools for LangChain (10)

These 10 tools become available when you connect WeCom / 企业微信 to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

Common issues when connecting WeCom / 企业微信 to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

WeCom / 企业微信 + LangChain FAQ

Common questions about integrating WeCom / 企业微信 MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.