How to Use the DingTalk MCP in Claude Code
Run DingTalk admin operations and pipe attendance records directly from your terminal using Claude Code.
Works with every AI agent you already use
…and any MCP-compatible client
Connect DingTalk MCP to Claude Code
Create your Vinkius account to connect DingTalk to Claude Code and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Headless DingTalk notification pipelines in Claude Code
Running notifications from your terminal is instant when you pipe shell outputs directly into Claude Code. The CLI agent triggers `send_work_notification` to dispatch system alerts, deployment statuses, or critical server warnings straight to your team's DingTalk work feeds using this headless MCP Server. This setup fits perfectly into your existing command-line environment. You can chain commands to feed build logs into the agent, which formats them and sends them out without opening a browser or an external app.
Pipe attendance audits with this MCP Server
Auditing team attendance is highly efficient when you run queries directly from your shell. The agent uses this MCP Server to execute `get_attendance_records` and pipes the raw JSON output to command-line utilities like `jq` or custom bash scripts for immediate parsing. You don't need to build a complex UI to find scheduling gaps. Just command the CLI to fetch the logs, filter for abnormal check-ins, and output the clean data directly to your stdout.
Rapid directory queries via Claude Code
Checking organizational structures is fast when you run quick terminal commands instead of navigating complex admin portals. The agent queries `get_department_info` and `list_sub_departments` to resolve department IDs and map team hierarchies on the fly. This approach keeps your operations agile. You can quickly look up who reports to whom, fetch their contact details with `get_user_info`, and pipe that data into other administrative scripts.
Set up DingTalk 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 userto make it available across all projects. - 2
Verify the connection
Start a Claude Code session and type
/mcpto list connected servers. You should seedingtalk-mcpwith a green status indicator. - 3
Start using tools
Ask Claude Code something like "Check my latest DingTalk transactions." It will automatically discover and invoke the available DingTalk tools.
claude mcp add --transport http dingtalk-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about DingTalk MCP in Claude Code
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the DingTalk MCP today
We host it, we monitor it, we maintain it. You just paste one token.