API Tester (OpenAI)
A

API Tester (OpenAI)

An MCP server that supports Claude to send API requests on behalf of users, providing various API testing tools, including a dedicated OpenAI interface, and supporting HTTP requests and DALL - E image generation.
2 points
4.1K

What is the API Tester MCP Server?

The API Tester MCP Server is a server based on the Model Context Protocol (MCP), which serves as a bridge between the Claude AI assistant and external APIs. Through this server, Claude can securely call various API services on behalf of users, including OpenAI's GPT models and the DALL - E image generation API, without directly exposing the user's API keys.

How to use the API Tester MCP Server?

It's very simple to use: 1) Install the necessary software environment; 2) Configure your API keys; 3) Start the server; 4) Send request instructions through Claude. The server will handle all technical details, and you only need to focus on the functions you want to achieve.

Use cases

It is suitable for developers who need to test APIs, users who want to use OpenAI services through AI but don't want to expose their API keys, teams that need to automate the API testing process, and creative workers who want to explore AI functions.

Main features

General HTTP requests
Supports standard HTTP methods such as GET, POST, PUT, DELETE, and can test any RESTful API
Dedicated OpenAI integration
Built - in secure integration with the OpenAI API, including GPT chat completion and DALL - E image generation functions
API key security
Your API keys are stored on the server side and will not be exposed in chat records, ensuring security
Formatted response
All API responses will be returned in a clear and readable format for easy understanding and use
Advantages
No need to manually handle API requests. Complex operations can be completed through natural language instructions
API keys are securely stored to avoid accidental leakage in chats
Supports multiple API types, covering everything from data retrieval to AI generation functions
Responses are automatically formatted to improve readability and usability
Limitations
Requires basic Python environment configuration, which may be a certain threshold for non - technical personnel
Using the OpenAI API incurs costs, and users need to monitor their usage on their own
Currently only supports Claude as the front - end interaction interface
Advanced customization functions require certain technical knowledge

How to use

Installation preparation
Ensure that your system has Python 3.10 or a higher version installed
Install dependencies
Use pip to install the necessary Python packages
Set API keys
It is recommended to use the.env file to store your OpenAI API keys to ensure security
Start the server
Run the main program to start the MCP server
Connect to Claude
Configure the server connection information in the Claude Desktop configuration file

Usage examples

Get sample data
Get sample blog post data from the test API
Create a test article
Send new article data to the test API
Generate an AI poem
Use GPT - 4 to generate a short poem about AI
Create a future city image
Use DALL - E to generate a future city landscape

Frequently Asked Questions

Is my API key secure?
Will using the OpenAI API incur costs?
Which APIs can I test?
How can I view API responses?
Which OpenAI models does the server support?

Related resources

OpenAI API documentation
OpenAI's official API documentation, containing information on all available models and endpoints
Python httpx library
Documentation for the HTTP request library, used to understand the underlying request mechanism
MCP protocol specification
Official documentation for the Model Context Protocol
Example project repository
A code repository containing more examples and configurations

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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