Aionmcp
AionMCP is a Go-based autonomous MCP server that can dynamically import multiple API specifications and convert them into tools. It has self-learning, context awareness, and automatic documentation generation capabilities.
2 points
0

What is AionMCP?

AionMCP is an intelligent server developed based on the Go language, specifically providing API tool support for AI agents. It can automatically identify and import various API specifications (such as OpenAPI, GraphQL, AsyncAPI) and convert these APIs into tools that can be directly called by AI. The server has self-learning capabilities and can continuously optimize performance based on usage.

How to use AionMCP?

Using AionMCP is very simple: 1) Install the server program; 2) Start the service; 3) Place the API specification files in the specified directory; 4) The AI agent can automatically discover and use these API tools. The entire process does not require manual configuration, and the server will automatically handle all technical details.

Applicable Scenarios

AionMCP is particularly suitable for the following scenarios: 1) AI assistants need to call external APIs to complete tasks; 2) Development teams hope to quickly provide AI agents with API access capabilities; 3) Need to dynamically manage multiple API interfaces; 4) Hope that the AI system can self-learn and optimize API calls.

Main Features

Multi-protocol Support
Supports three mainstream API specifications: OpenAPI, GraphQL, and AsyncAPI, and can automatically parse and convert various API formats
Self-learning Capability
The system can learn from execution patterns and continuously optimize tool call strategies and performance
Dynamic Runtime
Supports hot-reloading tools. You can add or update API tools without restarting the service
Clear Architecture Design
Adopts the Clean/Hexagonal architecture, with a clear code structure, easy to maintain and expand
Automatic Documentation Generation
Automatically generates and updates API documentation, providing insights into system operation
Context Awareness
Can understand the context of API calls and provide more intelligent tool recommendations
Advantages
๐Ÿ”„ High degree of automation: Automatically import API specifications, reducing manual configuration work
๐Ÿ“ˆ Excellent performance: 97% success rate and 250ms average latency
๐Ÿง  Intelligent learning: The system will learn from usage and continuously optimize
๐Ÿ”Œ Strong scalability: Supports multiple API protocols and specifications
โšก Flexible deployment: Supports local, Docker, and cloud deployment
๐Ÿ“Š Comprehensive monitoring: Provides detailed performance statistics and operational insights
Limitations
๐Ÿ”ง Requires a Go environment: Running from source code requires installing Go 1.21+
๐Ÿ“š Learning curve: Non-developer users may need some technical understanding
๐Ÿ”Œ Protocol limitations: Currently only supports three API specifications and does not support other formats
โš™๏ธ Configuration requirements: Advanced features require adjustment of configuration files

How to Use

Environment Preparation
Ensure that the system has installed Go 1.21 or a higher version and configured the Go development environment
Get the Code
Clone the project code from the GitHub repository to the local machine
Compile the Server
Use the Go compilation tool to build the server executable file
Prepare API Specifications
Place your OpenAPI, GraphQL, or AsyncAPI specification files in the examples/specs directory
Start the Server
Run the compiled server program, and the service will start on the default port 8080
Connect the AI Agent
Configure your AI agent to connect to the AionMCP server, and the agent will automatically discover available tools

Usage Examples

E-commerce API Integration
Import the OpenAPI specification of an e-commerce website into AionMCP, allowing the AI customer service assistant to query product information, process orders, and answer customer questions
Blog Content Management
Import the GraphQL blog API, allowing the AI writing assistant to create, edit, and publish blog articles
Real-time Event Monitoring
Use the AsyncAPI specification to monitor the user behavior event stream, allowing the AI to analyze user activity patterns

Frequently Asked Questions

Which API specification formats does AionMCP support?
Does the server need to run continuously?
How to add new API tools?
Which AI agents or platforms are supported?
How is data security ensured?
What data will the learning function store?

Related Resources

GitHub Repository
Project source code and the latest version
Model Context Protocol Documentation
Official specification documentation of the MCP protocol
OpenAPI Specification Guide
Detailed description of the OpenAPI specification
Example API Specifications
Example API specification files included in the project
Issue Feedback
Submit bug reports or feature suggestions

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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