AIBase
EN
Explore
Narad MCP Server
N

Narad MCP Server

The Narad MCP server integrates GitHub, email, and WhatsApp agents, enabling seamless communication and task automation through HTTP requests. It supports real-time and offline operations, providing a secure and efficient AI-driven workflow backend solution for managing multiple services.
Communication toolsDeveloper tools#Multi-service Integration#Communication Automation#AI Workflows#Efficient Backend.Python
2 points
9.2K
Open Site

Overview

Content Details

Alternatives

What is Narad MCP Server?

Narad MCP Server is an intelligent communication hub that connects multiple service channels such as GitHub, email, and WhatsApp through a unified interface. It allows users to automate cross-platform tasks and workflows through simple HTTP requests, while supporting both real-time and offline operation modes.

How to use Narad MCP Server?

You can trigger automated processes by sending HTTP requests to the server endpoints. You need to configure the connection information for each channel first, and then you can create and manage automated workflows through the REST API or the web interface.

Use cases

It is very suitable for team collaboration requiring cross-platform coordination, customer support automation, DevOps integration, and any business scenarios where multiple communication channels need to be managed uniformly.

Main Features

Multi-channel Integration
Seamlessly connect GitHub, email, and WhatsApp, and will support more communication platforms in the future
AI-driven Workflows
Leverage artificial intelligence to automatically classify, route, and process incoming messages
Hybrid Operation Mode
Support both real-time processing and offline batch processing of tasks
Secure API Gateway
All communications are encrypted and support OAuth2.0 authentication
Advantages
Unified management of multiple communication channels, reducing switching costs
Automate repetitive tasks to improve work efficiency
Flexible API design, easy to integrate with existing enterprise systems
AI intelligent routing reduces the need for manual intervention
Limitations
Initial configuration requires technical knowledge
The free version has API call frequency limitations
Some third-party services may require additional authorization

How to Use

Installation and Configuration
Download the server software package and run the installation script. Edit the config.yaml file to set the connection parameters for each channel.
Create the First Workflow
Define the trigger conditions and execution actions through the management interface or the API
Testing and Deployment
Test the workflow in the sandbox environment and then deploy it to the production environment

Usage Examples

Automated GitHub Issue Notifications
When a new issue is created in a GitHub repository, automatically send a WhatsApp notification to relevant team members
Automated Email Ticket Classification
Use AI to analyze the content of incoming customer service emails, automatically classify them, and assign them to the correct processing queue

Frequently Asked Questions

Do I need programming knowledge to use it?
What types of WhatsApp accounts are supported?
How to handle message history?

Related Resources

Official Documentation
Complete API reference and configuration guide
GitHub Repository
Open source code and issue tracking
Quick Start Video
10-minute configuration demonstration

Installation

Copy the following command to your Client for configuration
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
5.4K
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
5.1K
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
5.4K
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
6.6K
4 points
P
Paperbanana
Python
6.9K
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
6.6K
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
6.7K
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
6.7K
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
26.0K
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
36.0K
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
21.7K
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
74.4K
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#
31.9K
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
65.5K
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
22.2K
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
98.5K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
English简体中文繁體中文にほんご
© 2026AIBase