WeCom / 企业微信 MCP Server for Cursor 10 tools — connect in under 2 minutes
Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.
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{
"mcpServers": {
"wecom": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* 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.
Cursor's Agent mode turns WeCom / 企业微信 into an in-editor superpower. Ask Cursor to generate code using live data from WeCom / 企业微信 and it fetches, processes, and writes — all in a single agentic loop. 10 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
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 Cursor 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 Cursor via MCP
Follow these steps to integrate the WeCom / 企业微信 MCP Server with Cursor.
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
Save the file
Cursor will automatically detect the new MCP server
Start using WeCom / 企业微信
Open Agent mode in chat and ask: "Using WeCom / 企业微信, help me..." — 10 tools available
Why Use Cursor with the WeCom / 企业微信 MCP Server
Cursor AI Code Editor provides unique advantages when paired with WeCom / 企业微信 through the Model Context Protocol.
Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
Cursor's Composer feature can generate entire files using real-time data fetched through MCP — no copy-pasting from external dashboards
MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools
WeCom / 企业微信 + Cursor Use Cases
Practical scenarios where Cursor combined with the WeCom / 企业微信 MCP Server delivers measurable value.
Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP
Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically
Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates
Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data
WeCom / 企业微信 MCP Tools for Cursor (10)
These 10 tools become available when you connect WeCom / 企业微信 to Cursor 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 Cursor
Ready-to-use prompts you can give your Cursor 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 Cursor
Common issues when connecting WeCom / 企业微信 to Cursor through the Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
WeCom / 企业微信 + Cursor FAQ
Common questions about integrating WeCom / 企业微信 MCP Server with Cursor.
What is Agent mode and why does it matter for MCP?
Where does Cursor store MCP configuration?
mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.Can Cursor use MCP tools in inline edits?
How do I verify MCP tools are loaded?
Connect WeCom / 企业微信 with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 Cursor
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
