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MCP Notify
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MCP Notify

An MCP server that provides multi - platform message push functions, supporting multiple notification channels such as WeCom, DingTalk, Telegram, and Bark.
Communication toolsDeveloper tools#Message Push#Notification Service#Multi - platform.Python
2.5 points
5.6K
Open Site

Overview

Tools List

Content Details

Alternatives

What is Notify MCP Server?

Notify MCP Server is a message push server based on the Model Context Protocol. It allows AI assistants (such as Claude, Cursor AI, etc.) to send notifications, reminders, and information to your commonly used messaging platforms through simple API calls. Whether you're using WeCom, DingTalk, Telegram, or other platforms, this server enables AI assistants to stay in touch with you.

How to use Notify MCP Server?

Using Notify MCP Server is very simple: First, configure the messaging platforms you want to use (e.g., set the WeCom robot key), then add the server to your AI assistant configuration. After that, you can instruct the AI assistant to send messages to the specified platform via natural language commands.

Applicable Scenarios

Notify MCP Server is suitable for various scenarios: 1. Have the AI assistant send notifications after completing tasks. 2. Set up timed reminders and schedule notifications. 3. Monitor system status and trigger alarms. 4. Send notifications upon code build completion. 5. Instantly push important information. 6. Synchronize messages across platforms.

Main Features

Multi-platform Support
Supports mainstream messaging platforms such as WeCom, DingTalk, Telegram, Bark, Feishu/Lark, Home Assistant, PushPlus, and Ntfy to meet the needs of different users.
Easy Integration
Provides multiple installation methods: one-click installation with uvx, containerized deployment with Docker, and cloud services from Smithery, suitable for users with different technical levels.
Rich Message Types
Supports various message formats such as text, Markdown, images, videos, audio, files, and image-text links to meet the needs of different scenarios.
Cross-platform Compatibility
Compatible with multiple AI development environments such as Cursor, VS Code, Claude Code, OpenAI CodeX, and Cherry Studio.
Text-to-Speech
Built-in text-to-MP3 audio function, which can convert text content into voice messages for sending.
Advantages
One-stop solution: One server supports multiple messaging platforms without the need for separate configurations.
Simple configuration: Platform configuration can be completed through environment variables, making it easy to get started.
Flexible deployment: Supports local deployment and cloud services to meet different security requirements.
Real-time push: Messages are sent instantly with low latency, ensuring that important information is delivered promptly.
Open source and free: Based on an open-source protocol, it can be freely used and modified.
Limitations
Requires basic configuration: API keys and parameters for each platform need to be configured for the first use.
Relies on external services: Depends on the availability and network connectivity of each messaging platform.
Function limited by platforms: Some advanced functions are restricted by the API capabilities of each messaging platform.
Requires maintenance: The self-hosted version requires users to maintain and update it themselves.

How to Use

Select Messaging Platforms
Based on your usage habits, select one or more messaging platforms (such as WeCom, DingTalk, Telegram, etc.) and obtain the corresponding API keys or access tokens.
Configure Environment Variables
Set the corresponding environment variables according to the platforms you selected. For example, when using the WeCom robot, you need to set WEWORK_BOT_KEY.
Choose an Installation Method
Choose a suitable installation method based on your needs: - uvx: The simplest one-click installation. - Docker: Suitable for containerized environments. - Smithery: Cloud service without self-hosting.
Add to AI Assistant
Add the Notify MCP Server configuration to the MCP server list of your AI assistant (such as Cursor, VS Code, etc.).
Start Using
After configuration is complete, you can instruct the AI assistant to send messages via natural language commands. For example: "Please send a project completion notification in WeCom."

Usage Examples

Project Completion Notification
When the AI assistant completes a complex task (such as code refactoring, data analysis), it automatically sends a notification to WeCom.
Daily Report Push
The AI assistant generates a daily work report and pushes it to the specified chat via Telegram.
System Monitoring Reminder
When a system anomaly is detected, an emergency notification is sent via the DingTalk robot.
Cross-platform Message Synchronization
Send important information to multiple platforms simultaneously to ensure reliable message delivery.

Frequently Asked Questions

Do I need programming knowledge to use this server?
Which AI assistants are supported?
Is there any delay in message sending?
How to ensure message security?
Can I use multiple messaging platforms simultaneously?
What's the difference between self - hosting and cloud services?

Related Resources

GitHub Repository
Project source code, issue feedback, and latest updates.
Online Experience
Experience the functions of Notify MCP Server online on the FastMCP platform.
Smithery Service
Cloud service version without self - hosting.
Big Pie Report Telegram Channel
An example of a Telegram channel implemented based on this MCP server.
MCP Protocol Documentation
Official documentation of the Model Context Protocol.
Glama.ai Server Page
Server page and status on the Glama.ai platform.

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

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