Dingtalk MCP Server
D

Dingtalk MCP Server

The implementation of the DingTalk MCP server enables Claude to interact with the DingTalk workspace, providing functions such as user search, information retrieval, and message sending.
2 points
9.6K

What is the DingTalk MCP Server?

The DingTalk MCP server is a bridge connecting the Claude AI and the DingTalk workspace. It allows Claude to access the enterprise data in DingTalk and interact with DingTalk users, such as searching for colleague information, viewing detailed profiles, or sending private messages.

How to use the DingTalk MCP Server?

Before use, you need to create an application in the DingTalk developer console and configure the permissions. Then, add the server connection information to the Claude Desktop configuration file to start using it.

Applicable Scenarios

It is suitable for scenarios in the enterprise environment where Claude is needed to assist in handling DingTalk - related affairs, such as quickly finding colleague contact information, automatically sending notification messages, or integrating into the workflow.

Main Features

Search Users
Search for users within the DingTalk enterprise based on keywords, supporting exact matching and fuzzy search.
Get User Details
View the detailed information of a specified user, including department, position, contact information, etc.
Send Message
Send a private message directly to a DingTalk user, supporting text content.
Advantages
Seamless integration with the DingTalk enterprise address book
Simplify the enterprise internal information query process
Secure and reliable enterprise - level authentication
Support multiple deployment methods (npx/docker)
Limitations
Only for internal use within the enterprise
Requires administrator privileges to configure the application
Currently only supports text message sending
The functions are relatively basic and do not support complex interactions

How to Use

Create a DingTalk Application
Visit the DingTalk developer console to create an internal enterprise application and obtain the AppKey and AppSecret.
Configure Application Permissions
Configure the userinfo, message, and user permissions on the application details page.
Configure Claude Desktop
Add the DingTalk MCP server connection information to the configuration file.

Usage Examples

Find Colleague Contact Information
When you need to contact a colleague but don't know their contact information, you can quickly find and view the detailed information through the search function.
Send Meeting Reminder
Automatically send meeting reminder messages to participants, saving time on manual notifications.

Frequently Asked Questions

Why can't I search for some users?
What should I do if the message sending fails?
Does it support sending rich - text messages?

Related Resources

DingTalk Developer Documentation
Official documentation of the DingTalk open platform
MCP Protocol Specification
Technical specification of the Model Context Protocol
Example Code Repository
Implementation code of the DingTalk MCP server

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "dingtalk": {
      "command": "npx",
      "args": [
        "-y",
        "@darrenyao/server-dingtalk"
      ],
      "env": {
        "DINGTALK_APP_KEY": "your_app_key",
        "DINGTALK_APP_SECRET": "your_app_secret"
      }
    }
  }
}

{
  "mcpServers": {
    "dingtalk": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "DINGTALK_APP_KEY",
        "-e",
        "DINGTALK_APP_SECRET",
        "mcp/dingtalk"
      ],
      "env": {
        "DINGTALK_APP_KEY": "your_app_key",
        "DINGTALK_APP_SECRET": "your_app_secret"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

C
Claude Context
Claude Context is an MCP plugin that provides in - depth context of the entire codebase for AI programming assistants through semantic code search. It supports multiple embedding models and vector databases to achieve efficient code retrieval.
TypeScript
4.8K
5 points
A
Acemcp
Acemcp is an MCP server for codebase indexing and semantic search, supporting automatic incremental indexing, multi-encoding file processing, .gitignore integration, and a Web management interface, helping developers quickly search for and understand code context.
Python
9.9K
5 points
B
Blueprint MCP
Blueprint MCP is a chart generation tool based on the Arcade ecosystem. It uses technologies such as Nano Banana Pro to automatically generate visual charts such as architecture diagrams and flowcharts by analyzing codebases and system architectures, helping developers understand complex systems.
Python
8.2K
4 points
M
MCP Agent Mail
MCP Agent Mail is a mail - based coordination layer designed for AI programming agents, providing identity management, message sending and receiving, file reservation, and search functions, supporting asynchronous collaboration and conflict avoidance among multiple agents.
Python
8.4K
5 points
M
MCP
The Microsoft official MCP server provides search and access functions for the latest Microsoft technical documentation for AI assistants
13.1K
5 points
A
Aderyn
Aderyn is an open - source Solidity smart contract static analysis tool written in Rust, which helps developers and security researchers discover vulnerabilities in Solidity code. It supports Foundry and Hardhat projects, can generate reports in multiple formats, and provides a VSCode extension.
Rust
8.7K
5 points
D
Devtools Debugger MCP
The Node.js Debugger MCP server provides complete debugging capabilities based on the Chrome DevTools protocol, including breakpoint setting, stepping execution, variable inspection, and expression evaluation.
TypeScript
10.0K
4 points
S
Scrapling
Scrapling is an adaptive web scraping library that can automatically learn website changes and re - locate elements. It supports multiple scraping methods and AI integration, providing high - performance parsing and a developer - friendly experience.
Python
11.9K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
17.5K
4.5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
17.5K
4.3 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
27.6K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
55.0K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
24.3K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
52.4K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
17.2K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
36.7K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIBase