# DingDing (DingTalk)

> Use this tool when you need to automate notifications and integrate AI-generated content into team messaging platforms. It solves problems of manual notification and content sharing by providing a bridge between AI assistants and DingDing (DingTalk) through its bot API, supporting various message formats and file uploads. Ideal for workflows requiring automated alerts, team notifications, or content integration, it offers a secure and tested solution with signature verification and comprehensive testing.

Canonical page: https://skillsregistry.net/skills/hundun-dingding  
JSON: https://api.skillsregistry.net/v1/skills/hundun-dingding

## Description

The mcp-dingdingbot-server provides a bridge between AI assistants and DingDing (DingTalk) messaging platform, enabling automated notifications through DingDing's bot API. Built in Go using the mcp-go library, it supports multiple message formats including text, markdown, images, news links, and template cards. The implementation includes signature verification for enhanced security, file upload capabilities, and comprehensive testing with both unit and integration tests. This server is particularly useful for workflows requiring automated alerts, team notifications, or integration of AI-generated content into DingDing group chats.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/hundun-dingding)
- **Repository:** <https://github.com/hundunonline/mcp-dingdingbot-server>

## 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": "hundun-dingding"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hundun-dingding` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hundun-dingding/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