MCP Dingdingbot Server
M

MCP Dingdingbot Server

A server application that sends multiple message types to DingTalk group robots through the MCP protocol
2.5 points
9.8K

What is mcp-dingdingbot-server?

This is a server application based on the MCP protocol, specifically designed to send various types of messages to DingTalk group robots. It simplifies the integration with DingTalk robots, allowing you to implement the message push function without complex development.

How to use mcp-dingdingbot-server?

Simply configure the Webhook key of the DingTalk robot, and then you can send messages through simple commands or API calls. It supports multiple message formats such as text, Markdown, and images.

Applicable scenarios

Suitable for scenarios where system notifications, monitoring alerts, task reminders and other information need to be automatically pushed to DingTalk work groups, such as operation and maintenance monitoring, project management, customer service systems, etc.

Main Features

Text Message
Supports sending plain text messages to DingTalk groups
Markdown Message
Supports sending formatted Markdown messages, which can include rich formats such as headings and lists
Image Message
Supports sending image messages, which can be directly displayed in DingTalk groups
News Message
Supports sending news combination messages containing titles, descriptions, links, and images
File Upload
Supports uploading files to DingTalk and sharing them in group chats
Security Signature
Supports DingTalk robot signature verification to ensure the security and reliability of message sources
Advantages
Easy to use: No complex development is required, just configure and use
Comprehensive functions: Supports all mainstream message types of DingTalk robots
Secure and reliable: Supports signature verification to prevent unauthorized access
Cross - platform: Can run on various operating systems
Limitations
Only supports the DingTalk platform and is not compatible with other instant messaging tools
Enterprise administrator privileges are required to create DingTalk robots
The free version of DingTalk robots has message frequency limits

How to Use

Install the Service
Download the pre - compiled binary file or build from the source code
Configure the DingTalk Robot
Add a custom robot in the DingTalk group and obtain the Webhook address and signature key
Set Environment Variables
Configure DINGDING_BOT_WEBHOOK_KEY and DINGDING_BOT_SIGN_KEY
Send Messages
Use the corresponding commands to send different types of messages

Usage Examples

Send System Alarm Notifications
When an exception occurs on the server, automatically send alarm information to the operation and maintenance group
Daily Work Report Push
Regularly send daily work summary reports to the project group
File Sharing
Share the generated report file in the work group

Frequently Asked Questions

How to obtain the Webhook key of the DingTalk robot?
Why did my message fail to send?
What types of messages are supported?
Is there a frequency limit for sending messages?

Related Resources

DingTalk Robot Official Documentation
DingTalk custom robot access guide
GitHub Repository
Project source code and latest version
MCP Protocol Introduction
Message Control Protocol technical specification

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "mcp-dingdingbot-server": {
      "command": "mcp-dingdingbot-server",
      "env": {
        "DINGDING_BOT_WEBHOOK_KEY": "xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxx",
        "DINGDING_BOT_SIGN_KEY": "SECxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
6.5K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
6.4K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
4.6K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
5.7K
4 points
P
Paperbanana
Python
7.0K
5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
7.7K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
7.8K
5 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
7.8K
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
25.1K
4.3 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
20.8K
4.5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
73.0K
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
35.2K
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
65.9K
4.5 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#
33.2K
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
21.3K
4.5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
98.0K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase