# dingtalk-mcp

> Use this tool when you need to integrate Dingtalk services into your application, enabling communication and collaboration features. It solves problems related to team messaging, file sharing, and workflow automation, providing a unified interface for managing interactions. The tool accepts various input formats and outputs data in a structured format, suitable for use in enterprise environments and workflow automation scenarios.

Canonical page: https://skillsregistry.net/skills/open-dingtalk-dingtalk-mcp  
JSON: https://api.skillsregistry.net/v1/skills/open-dingtalk-dingtalk-mcp

## Description

Dingtalk MCP Server

## 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:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/i54adq2wa6)
- **Repository:** <https://github.com/open-dingtalk/dingtalk-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": "open-dingtalk-dingtalk-mcp"
    }
  }
}
```

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