MCP Server (Model Context Protocol)

A universally available Model Context Protocol (MCP) server on AI Host (Claude, OpenAI, user-developed).

Project Overview

This project provides an API test automation server based on Postman Collection that can be used in various AI host environments. Users can upload Postman Collection, Environment, and Data json files, store them in SQLite DB, and run tests.

Related MCP server: Postman MCP Generator

Key Features

• Postman Collection, Environment, Data json file upload and management

• Running API test cases and tracking results

• Managing Test Collections

• Support for various AI models (Claude, OpenAI, user-developed models)

Technology Stack

• Backend : Python, FastAPI

• Database : SQLite

• Package Management : uv

• Server environment : Local HTTPS server (port 8610)

How to install and run

Prerequisites

• Python 3.10 or later

• uv package manager

installation

# 저장소 클론
git clone https://github.com/foxywolf-hub/mcp-server1.git
cd mcp-server1

# 의존성 설치
uv pip install -r requirements.txt

execution

# 서버 실행
python main.py

The server runs at https://localhost:8610 .

Project Structure

mcp-server1/
├── app/                    # 애플리케이션 코드
│   ├── api/                # API 라우트
│   ├── core/               # 코어 설정
│   ├── db/                 # 데이터베이스 관련
│   ├── models/             # 데이터 모델
│   ├── schemas/            # Pydantic 스키마
│   ├── services/           # 비즈니스 로직
│   └── utils/              # 유틸리티 함수
├── certs/                  # HTTPS 인증서
├── tests/                  # 테스트 코드
├── main.py                 # 애플리케이션 진입점
├── requirements.txt        # 의존성 목록
└── README.md               # 프로젝트 설명

Database Structure

Main Table

• api_info : API basic information

• api_test_case : API test case

• api_test_data : Test data

• api_test_collection : Test collection

• collection_test_case : Link a collection to a test case

• api_test_run : Test execution record

• api_test_result : Test result

• user : user information