How to Use the WeCom / 企业微信 MCP in Claude Code

Q: Can I schedule WeCom / 企业微信 user lookups with Claude Code?

Yes. You can write a shell script that uses getuser to pull profiles and pipe the result into other CLI tools, making it perfect for automated background processes.

Q: How do I process WeCom / 企业微信 attendance data with Claude Code?

Run your job in a container. The getattendancedata tool outputs raw JSON that you can then filter, parse, and write directly to another service or file.

Q: Does Claude Code support WeCom / 企业微信 departmental tasks?

Absolutely. You use listdepartments followed by getdepartment in a script, allowing you to programmatically manage and report on your corporate structure from the terminal.

Q: How do I connect WeCom / 企业微信 to a GitHub Action using Claude Code?

You run the claude mcp add command and then use the resulting connection in your workflow file. It's designed for headless execution, making it perfect for CI/CD pipelines.

Run WeCom / 企业微信 scripts headlessly with Claude Code's terminal pipeline.

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Setup WeCom / 企业微信 with Claude Code

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Automate User and Tag Lookups

You can schedule user lookups using `get_user` in a cron job. For batch processing, run `list_tags` to get all available organization tags, then loop through them calling `get_tag_users`. This lets you build scheduled maintenance scripts that process your WeCom account data without needing a GUI.

Batch Department Reporting

Need to generate a report on all departments? Run `list_departments` first. Then, pipe the output into a script that calls `get_department` for each ID found. This is ideal for nightly jobs that consolidate organizational data and write it out to CSV.

Scripted Messaging via MCP Server

The `send_message` tool lets you send messages in bulk. Write a simple shell script that loops through user IDs obtained from `list_users`, then calls the tool for each one. It's perfect for deploying mass announcements or alerts as part of your CI/CD pipeline.

Setup guide

Set up WeCom / 企业微信 MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see wecom-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest WeCom / 企业微信 transactions." It will automatically discover and invoke the available WeCom / 企业微信 tools.

Terminal

claude mcp add --transport http wecom-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

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Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the WeCom / 企业微信 MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

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

Get your connection token →

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 Claude Code

Yes. You can write a shell script that uses `get_user` to pull profiles and pipe the result into other CLI tools, making it perfect for automated background processes.

Run your job in a container. The `get_attendance_data` tool outputs raw JSON that you can then filter, parse, and write directly to another service or file.

Absolutely. You use `list_departments` followed by `get_department` in a script, allowing you to programmatically manage and report on your corporate structure from the terminal.

The server touches user details, department information, tags, and employee attendance records. When writing scripts, you need to handle these specific sensitive structures for compliance.

You run the `claude mcp add` command and then use the resulting connection in your workflow file. It's designed for headless execution, making it perfect for CI/CD pipelines.

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