Haokaquery172 MCP

An AI-based SIM card query tool that understands user needs through natural language, automatically queries data from the 172 SIM card platform, and intelligently recommends the most suitable packages, significantly reducing the user's selection time.

E-commerce and retail Artificial intelligence chatbots #SIM Card Recommendation #Intelligent Query #Natural Language #Time Saving .TypeScript

rating : 2.5 points

downloads : 7.2K

update time : 2025-12-12

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What is the AI SIM Card Recommendation Tool?

This is an intelligent phone card recommendation system. You just need to describe your needs in daily language (e.g., 'large data volume, low monthly fee'), and the AI will automatically understand and search all packages on the 172 SIM card platform to recommend the most matching plan for you. There's no need to manually compare complex package details, making the selection of phone cards simple and efficient.

How to use the AI SIM Card Recommendation Tool?

Just describe your needs in the conversation interface, such as 'I need a phone card with a large data volume and long call time' or 'I want a package with a monthly fee not exceeding 50 yuan'. The system will automatically analyze your needs, query the latest SIM card data, and give personalized recommendations. The whole process is a completely natural conversation, and there's no need to learn complex operations.

Applicable Scenarios

Suitable for users who need to apply for a new phone card but don't know how to choose among numerous packages; suitable for users who have specific requirements for data volume, call duration, and monthly fee but don't want to spend time comparing; suitable for consumers who hope to quickly find the most cost-effective package.

Main Functions

Natural Language Understanding

The system can understand the need descriptions in daily conversations and automatically identify key conditions such as data volume requirements, monthly fee budget, call duration, etc., without the user having to fill in complex forms.

Real-time SIM Card Query

It directly connects to the interface of the 172 SIM card platform to obtain the latest and most comprehensive information on SIM card packages, ensuring the timeliness and accuracy of the recommendation results.

Intelligent Matching and Recommendation

The AI algorithm comprehensively considers all the user's need conditions, filters out several options that best meet the requirements from a vast number of packages, and explains the reasons for the recommendations.

Time Saving

It simplifies the complex process of manually comparing multiple packages into a single conversation, significantly reducing the decision-making time and improving the selection efficiency.

Advantages

Simple operation: No need to learn, just describe your needs in natural language

Time-saving: Automatically compare all packages, eliminating the need for manual screening

Intelligent matching: The AI understands the context and makes more accurate recommendations

Comprehensive information: Based on real-time data from the 172 platform, covering mainstream packages

Free to use: Enjoy the intelligent recommendation service without additional fees

Limitations

Network-dependent: A stable network connection is required to query data

Platform limitation: Currently only supports package data from the 172 SIM card platform

Geographical limitation: Some packages may have geographical restrictions, and users need to confirm by themselves

Subjective factors: Recommendations are based on algorithms and may have slight differences from personal preferences

How to Use

Start the Service

Ensure that the local server is correctly configured and started according to the installation guide. The service will run on the specified port.

Connect to the Conversation Interface

Connect to this MCP server through a supported client (e.g., Claude Desktop).

Describe Your Needs

Enter your phone card needs in the conversation. You can use natural language to describe conditions such as data volume, monthly fee, and call duration.

Get Recommendations

The system will automatically analyze your needs, query the data, and return personalized recommendation results and detailed explanations within a few seconds.

Usage Examples

Student Users Looking for Cost-effective Packages

A college student needs to apply for a new phone card. With a limited budget, but in need of a large amount of data for study and entertainment.

Business People Needing National Calls

Business people who often travel on business need a package with long national call time and a moderate data volume requirement.

Elderly People with Simple Needs

Elderly people only need basic call functions, have very little data volume requirement, and hope for the lowest monthly fee.

Frequently Asked Questions

Is this service charged?

Do I need programming knowledge to use it?

Is the data up-to-date?

Can I query packages from all operators?

Are the recommendation results always the best?

Related Resources

GitHub Project Repository

Project source code, latest version, and issue feedback

Model Context Protocol Official Documentation

Understand the technical details and specifications of the MCP protocol

Node.js Official Website

Download and install the Node.js runtime environment

172 SIM Card Platform

The platform where the SIM card data comes from. Understand the package details.

🚀 AI-Powered SIM Card Recommendation MCP Tool

This project is an AI-powered MCP tool for SIM card query. It uses natural language processing to understand user needs, automatically calls the API of the 172 SIM card platform to obtain SIM card data, and recommends the most suitable packages to users, significantly reducing the time cost of user selection.

If this project helps you, please give it a star! It means a lot to me. Thank you!

🚀 Quick Start

The AI-Powered SIM Card Recommendation MCP Tool simplifies the process of finding the right SIM card. It leverages AI to understand your needs and provides personalized recommendations.

✨ Features

Natural Language Understanding: Users can describe their needs through conversations, and the AI automatically identifies key conditions.
SIM Card Query: Connects to the 172 SIM card platform API to obtain the latest SIM card information.
Intelligent Recommendation: Combines user needs and SIM card data to recommend the best plans via AI.
Time Saving: Reduces the time users spend screening through complex packages.

🛠️ Environment Requirements

Node.js >= 18
npm >= 9

📦 Installation

Clone the project to your local server:

git clone https://github.com/TacKana/haokaQuery172_MCP.git
cd haokaQuery172_MCP

Configure environment variables: Copy the .env.example file and rename it to .env. Then edit the .env file and fill in your configurations:
```
# Your 172 SIM card platform Token
TOKEN_172=xxx

# Local server port
PORT=3000
```
Install dependencies:
```
npm install
```
Start the development server:
```
npm run start:dev
```
Access the local service to start getting SIM card recommendations through conversations.

💻 Usage Examples

Basic Usage

User input:

I want a phone card with large data allowance and low monthly fee.

The system automatically analyzes the requirements, calls the MCP tool to query SIM card data, and returns the AI-recommended result:

Recommended package: Data King Card, monthly fee of 29 yuan, 50GB of data.

📚 Documentation

Project Structure

.
├── src/             # Source code files
├── .env.example     # Example environment variables
├── package.json     # Project dependencies
├── package-lock.json # Locked dependency versions
├── pnpm-lock.yaml   # pnpm lock file
├── tsconfig.json    # TypeScript configuration
└── README.md        # Project description