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Atest MCP Server
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Atest MCP Server

This is an MCP server for the API testing tool atest, which supports connecting to the atest runner through gRPC and provides multiple startup modes (SSE, stdio).
Developer toolsArtificial intelligence chatbots#API testing#MCP service#gRPC integration#Testing tool.Go
2.5 points
6.2K
Open Site

Overview

Installation

Content Details

Alternatives

What is the atest MCP Server?

The atest MCP Server is a bridge that connects AI assistants (such as Claude Desktop) with the atest API testing tool. It allows you to interact with the AI assistant through natural language to perform API tests, manage test cases, view test results, etc., without manually writing test scripts or using command - line tools.

How to use the atest MCP Server?

First, you need to run the atest gRPC service, and then start the MCP server for connection. You can choose from three different running modes: command - line tool, Docker container, or direct running with npx. After configuration, the AI assistant can access the functions of atest through the MCP protocol.

Applicable scenarios

It is suitable for developers, test engineers, and DevOps teams, especially when you want to quickly perform API tests, generate test cases, debug API interfaces, or automate the test process through an AI assistant. It simplifies the complexity of API testing and allows non - technical users to easily conduct API tests.

Main features

API test execution
Execute API test cases in atest directly through an AI assistant, supporting various HTTP methods and authentication methods.
Test case management
View, search, and manage test cases stored in atest, supporting filtering by conditions such as name and tag.
Test result viewing
Get detailed results of test execution, including response status, elapsed time, assertion results, and other information.
Multi - mode operation
Supports two communication modes, SSE (Server - Sent Events) and stdio, to adapt to different deployment environments.
Flexible deployment
Provides three running modes: command - line tool, Docker container, and npx, meeting the usage habits of different users.
Advantages
No coding required: You can perform API tests through natural language, reducing the technical threshold.
Integrated with AI assistants: Seamlessly integrated with AI assistants such as Claude, improving work efficiency.
Multiple deployment methods: Supports command - line, Docker, and npx, adapting to different environments.
Real - time interaction: Supports the SSE mode, enabling real - time communication and quick response.
Open - source and free: Based on an open - source project, it can be freely used and customized.
Limitations
Depends on the atest service: You need to run the atest gRPC service first to use it.
Network configuration: You need to correctly configure the network connection and port access.
Learning cost: You need to understand the basic concepts and configuration methods of atest.
Function limitations: The functions are limited by the capabilities of the atest tool itself.

How to use

Install atest
First, you need to install the atest API testing tool on your system to ensure that the gRPC service can run normally.
Start the atest gRPC service
Run atest and enable the gRPC service, listening on the specified port (default 64385).
Choose the MCP server running mode
Select one of the following three methods to start the MCP server according to your needs.
Configure the AI assistant
Add the MCP server configuration to the configuration file of the AI assistant (such as Claude Desktop).

Usage examples

Quick API test
When you need to quickly verify whether an API interface is working properly, you can directly perform the test through an AI assistant.
Batch test execution
Before releasing a new version, you need to run all relevant API test cases to ensure the normal functionality.
Test result analysis
When a test fails, you need to view the detailed failure reasons and log information.

Frequently Asked Questions

What is the difference between atest MCP Server and atest?
Do I need to run both atest and MCP Server?
What is the difference between the SSE mode and the stdio mode?
How can I check if the MCP server is running normally?
Which AI assistants are supported?

Related resources

atest project homepage
The official GitHub repository of the atest API testing tool
MCP protocol documentation
Official documentation and specifications of the Model Context Protocol
Claude Desktop configuration guide
How to configure Claude Desktop to use the MCP server
Docker image repository
The official Docker image of the atest MCP Server
npm package page
Information about the npm package of the atest MCP Server

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "atest": {
      "name": "atest",
      "type": "streamableHttp",
      "description": "The MCP server of atest",
      "isActive": true,
      "baseUrl": "http://localhost:7845",
      "disabledAutoApproveTools": []
    }
  }
}

{
  "mcpServers": {
    "atest": {
      "name": "atest-mcp-stdio",
      "type": "stdio",
      "description": "",
      "isActive": true,
      "command": "atest-store-mcp",
      "args": [
        "server",
        "-m=stdio",
        "--runner-address=localhost:64385"
      ]
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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