# dws-cli-mcp

> Use this tool when you need to integrate AI agents with DingTalk features, enabling natural language control over messaging, calendar, tasks, and approvals. It solves problems of automation and streamlined workflow by allowing AI agents to interact with DingTalk via the Workspace CLI. This tool is ideal for use cases requiring seamless communication and task management between AI systems and DingTalk users.

Canonical page: https://skillsregistry.net/skills/yingcaihuang-dws-cli-mcp  
JSON: https://api.skillsregistry.net/v1/skills/yingcaihuang-dws-cli-mcp

## Description

MCP server that enables AI agents to control all DingTalk features (messaging, calendar, tasks, approvals, etc.) via natural language using the DingTalk Workspace CLI.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qzn8egqjn3)
- **Repository:** <https://github.com/yingcaihuang/dws-cli-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "yingcaihuang-dws-cli-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/yingcaihuang-dws-cli-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/yingcaihuang-dws-cli-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt