Aintent Framework
A

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
5.4K

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 understanding
Automatically parse the natural language input by the user and identify the core intent and key parameters
Intent structuring
Convert vague user requirements into a clear set of goals and constraints
Workflow generation
Automatically generate an executable operation sequence based on the structured intent
Flexible storage
Supports multiple storage methods, and high - performance in - memory storage is provided by default
Type safety
Complete type definitions ensure the safety and reliability of the data processing process
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 booking
Convert the user's flight booking requirements into a structured query
Data query
Parse 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.

Alternatives

K
Klavis
Klavis AI is an open-source project that provides a simple and easy-to-use MCP (Model Context Protocol) service on Slack, Discord, and Web platforms. It includes various functions such as report generation, YouTube tools, and document conversion, supporting non-technical users and developers to use AI workflows.
TypeScript
8.2K
5 points
M
MCP
The Microsoft official MCP server provides search and access functions for the latest Microsoft technical documentation for AI assistants
10.0K
5 points
A
Aderyn
Aderyn is an open - source Solidity smart contract static analysis tool written in Rust, which helps developers and security researchers discover vulnerabilities in Solidity code. It supports Foundry and Hardhat projects, can generate reports in multiple formats, and provides a VSCode extension.
Rust
5.9K
5 points
D
Devtools Debugger MCP
The Node.js Debugger MCP server provides complete debugging capabilities based on the Chrome DevTools protocol, including breakpoint setting, stepping execution, variable inspection, and expression evaluation.
TypeScript
5.4K
4 points
S
Scrapling
Scrapling is an adaptive web scraping library that can automatically learn website changes and re - locate elements. It supports multiple scraping methods and AI integration, providing high - performance parsing and a developer - friendly experience.
Python
7.9K
5 points
M
Mcpjungle
MCPJungle is a self-hosted MCP gateway used to centrally manage and proxy multiple MCP servers, providing a unified tool access interface for AI agents.
Go
0
4.5 points
C
Cipher
Cipher is an open-source memory layer framework designed for programming AI agents. It integrates with various IDEs and AI coding assistants through the MCP protocol, providing core functions such as automatic memory generation, team memory sharing, and dual-system memory management.
TypeScript
0
5 points
N
Nexus
Nexus is an AI tool aggregation gateway that supports connecting multiple MCP servers and LLM providers, providing tool search, execution, and model routing functions through a unified endpoint, and supporting security authentication and rate limiting.
Rust
0
4 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
16.6K
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
14.8K
4.5 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
23.6K
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
45.0K
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#
19.2K
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
44.5K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
30.3K
4.8 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
62.9K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIBase