How to Use the WeCom / 企业微信 MCP in Cursor

Q: How do I integrate WeCom / 企业微信 into Cursor?

You create a .cursor/mcp.json file in the project root or global path. You list the server under mcpServers, and then enable Agent mode in chat to start using it.

Q: Can I get user details and department structure with WeCom / 企业微信 inside Cursor?

Absolutely. Use getuser for single profiles and listdepartments or getdepartment to map out the entire organizational hierarchy you're coding against.

Q: Does the MCP Server support WeCom / 企业微信 messaging in Cursor?

Yes, it supports sending messages. The sendmessage tool lets your AI client write code that executes a message send action using real API responses.

Q: How do I verify that WeCom / 企业微信 tools work in Cursor?

Make sure Agent mode is enabled in the chat pane and your .cursor/mcp.json file correctly points to the server endpoint URL or local command.

Write code that talks to WeCom / 企业微信 by injecting live data directly into Cursor.

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Connect WeCom / 企业微信 MCP to Cursor

Create your Vinkius account to connect WeCom / 企业微信 to Cursor 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 Cursor

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Claude

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Fetch user and department context with Cursor

The `get_user` tool pulls specific employee details, letting you hardcode real names or IDs in your functions. You can also use `list_departments` to iterate over all available departments for a given scope. Write logic that needs grouping data? Use `list_users` within a department to build lists of recipients dynamically.

Build attendance reporting with Cursor

Need to calculate employee hours or flag missing check-ins? The `get_attendance_data` tool gives you the raw records. Your agent can use this data in real time to generate accurate reports. If you need a list of users associated with specific project tags, run `get_tag_users` and feed that array directly into your code's validation logic.

Send messages programmatically with Cursor

`send_message` lets the AI generate working calls to dispatch text. You can build functions that automatically notify a user based on an event, using live data context. For system mapping, use `list_menu` to inspect the available custom app menu items in WeCom / 企业微信 so your code knows where it's writing.

Setup guide

Set up WeCom / 企业微信 MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the WeCom / 企业微信 MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent WeCom / 企业微信 transactions." If the MCP tools are loaded correctly, Cursor will call the WeCom / 企业微信 tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "wecom-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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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 Cursor

You create a `.cursor/mcp.json` file in the project root or global path. You list the server under `mcpServers`, and then enable Agent mode in chat to start using it.

Absolutely. Use `get_user` for single profiles and `list_departments` or `get_department` to map out the entire organizational hierarchy you're coding against.

Yes, it supports sending messages. The `send_message` tool lets your AI client write code that executes a message send action using real API responses.

This server touches user details, department information, attendance records, and organization tags. It’s structured personnel and communication data.

Make sure Agent mode is enabled in the chat pane and your `.cursor/mcp.json` file correctly points to the server endpoint URL or local command.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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