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Api Suggestion Server

The API Suggestion Server is an MCP server that recommends suitable API endpoints based on the OpenAPI specification and can intelligently recommend the best options from available APIs according to user needs.
2 points
9

What is the API Suggestion Server?

The API Suggestion Server is an intelligent API recommendation system that can analyze multiple OpenAPI specification documents and recommend the most suitable API endpoints according to the user's specific needs. This system seamlessly integrates with AI models (such as Claude, GPT - 4, etc.) through the MCP protocol, providing an intelligent API discovery experience.

How to use the API Suggestion Server?

The usage process is very simple: 1) Start the server. 2) Connect to the AI model through the MCP protocol. 3) Describe your API requirements in natural language. 4) Get a list of recommended API endpoints. There's no need to have in - depth technical knowledge; just describe the functionality you want to achieve.

Applicable scenarios

It is particularly suitable for the following scenarios: - Exploring available APIs in the early stage of development. - Quickly locating the required interfaces in a large API collection. - Finding the best API combination for specific functional requirements. - Learning the structure of a new API system.

Main Features

Multi - source API integrationSupports collecting API endpoint information from multiple OpenAPI specifications (YAML/JSON), whether they are local files or remote URLs.
Intelligent recommendationRecommends the most relevant endpoints from available APIs based on the user's purpose and context.
MCP protocol integrationSeamlessly collaborates with mainstream AI models through the standard MCP protocol, providing a natural - language interaction experience.
Highly customizableSupports easily adding new OpenAPI specifications with simple and flexible configuration.

Advantages and Limitations

Advantages
No need to memorize complex API paths; you can search using natural language.
Supports searching endpoints in multiple API systems simultaneously.
Deeply integrated with AI models to understand vague query intentions.
Open - source and easy to expand.
Limitations
Depends on the integrity and accuracy of the OpenAPI specification.
Requires a Node.js runtime environment.
Complex queries may require multiple interactions.

How to Use

Install the server
Make sure Node.js 18+ is installed, then clone the repository and install the dependencies.
Configure API sources
Edit the server.config.ts file and add the OpenAPI specifications (local files or URLs) you need to query.
Start the server
Run the start command, and the server will communicate using the MCP protocol through stdio.
Connect to the AI model
Configure MCP tool calls in your AI application (such as Claude) and use the suggest_api tool to query APIs.

Usage Examples

Find user - related APIsWhen you need to operate on user data but are not sure about the specific APIs.
Create resourcesWhen you need to create new resources but don't know the correct APIs.
Complex queriesWhen you need to combine multiple APIs to complete complex operations.

Frequently Asked Questions

Do I need to know programming to use it?
Which OpenAPI versions are supported?
How to add private API documents?
What if the recommendation results are inaccurate?

Related Resources

OpenAPI Specification Document
Understand the OpenAPI specification standard.
MCP Protocol Description
Official documentation of the Model Context Protocol.
GitHub Repository
Project source code and issue tracking.
Example API Collection
A large number of real OpenAPI specification examples.
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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