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Aintent Framework

An intent parsing server based on natural language processing that converts user input into structured and executable workflows, providing highly scalable and reliable API services.
2 points
3

What is the Intent MCP Server?

This is an intelligent intent processing system that can understand users' natural language inputs (e.g., 'I want to book a flight to Shanghai tomorrow') and convert them into standardized computer - executable processes. The system will automatically analyze the key elements (destination, time, etc.) in the user's intent and generate a structured execution plan.

How to use the Intent MCP Server?

Send a request containing natural language through a simple API interface, and the system will return the structured processing result. You can also directly query the status of the processed intent.

Use cases

It is suitable for scenarios where users' natural language instructions need to be converted into system operations, such as intelligent customer service, automated process triggering, and the backend of voice assistants.

Main features

Natural language understandingAutomatically parse the natural language input by the user and identify the core intent and key parameters
Intent structuringConvert vague user requirements into a clear set of goals and constraints
Workflow generationAutomatically generate an executable operation sequence based on the structured intent
Flexible storageSupports multiple storage methods, and high - performance in - memory storage is provided by default
Type safetyComplete type definitions ensure the safety and reliability of the data processing process

Advantages and limitations

Advantages
Out - of - the - box natural language processing capabilities
Clear structured output for easy system integration
Modular design for convenient function expansion
Complete error handling and log recording
Limitations
Requires pre - defined domain vocabulary and intent patterns
Limited ability to handle complex nested intents
Performance depends on the natural language processing model

How to use

Environment preparation
Ensure that Node.js v18 or a higher version is installed
Install dependencies
Download the project and install the required software packages
Configure the service
Copy and modify the environment configuration file
Start the service
Choose to run in development mode or production mode

Usage examples

Flight bookingConvert the user's flight booking requirements into a structured query
Data queryParse complex data analysis requests

Frequently Asked Questions

How long does it usually take to process an intent?
How to expand the types of intents supported by the system?
Which languages does the system support?

Related resources

Official GitHub repository
Project source code and the latest version
API reference documentation
Complete API interface description
Getting - started video
A 10 - minute quick - start tutorial
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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