# DingTalk Wiki

> Use this tool when you need to integrate AI agents with DingTalk Wiki for document management and organizational tasks, such as creating and navigating folders, documents, and workbooks. It solves problems related to knowledge management and team collaboration by providing a programmatic interface to DingTalk Wiki. The tool takes API permissions and workspace information as input and outputs created documents, folder structures, and user information.

Canonical page: https://skillsregistry.net/skills/ianen-dingtalk-wiki  
JSON: https://api.skillsregistry.net/v1/skills/ianen-dingtalk-wiki

## Description

Fills the Wiki and Docs gap left by the official DingTalk MCP by enabling AI agents to browse workspaces, list and navigate folder structures, and create documents, workbooks, mind maps, and folders within DingTalk Wiki. Also provides organizational tools for listing departments, retrieving user information, and reading Notable sheet records. Requires a DingTalk app with appropriate API permissions and connects via stdio transport.

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/ianen-dingtalk-wiki)
- **Repository:** <https://github.com/ianen/dingtalk-wiki-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": "ianen-dingtalk-wiki"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ianen-dingtalk-wiki` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ianen-dingtalk-wiki/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