OopsBot MCP Server

Overview

The OopsBot MCP Server is a Model Context Protocol (MCP) implementation that provides AI agents with comprehensive test case generation and management capabilities. Transform your product requirements into comprehensive test cases using AI-powered automation.

Key Features

• 🤖 AI-Powered Test Generation: Generate comprehensive test cases from product requirements and user stories
• 📄 Document Processing: Upload and process various document formats (PDF, DOCX, TXT, JSON, MD)
• 🔍 Semantic Search: RAG-powered document retrieval with vector embeddings
• 📊 Project Management: Organize test cases and documents by projects
• 🔐 Secure Authentication: Enterprise-grade security with user isolation
• ☁️ Cloud Storage: Scalable content management
• 🔄 Real-time Streaming: Live test case generation with progress tracking

Architecture

┌─────────────────┐    ┌──────────────────┐    ┌─────────────────┐
│   AI Agent      │───▶│   OopsBot MCP    │───▶│   Backend       │
│   (Client)      │    │   Server         │    │   Services      │
└─────────────────┘    └──────────────────┘    └─────────────────┘
                                │
                                ▼
                       ┌──────────────────┐    ┌─────────────────┐
                       │   Cloud Storage  │    │   AI Services   │
                       │   (Test Cases)   │    │   (Documents)   │
                       └──────────────────┘    └─────────────────┘

Available Tools

1. Project Management

list_user_projects

Lists all projects associated with the authenticated user.

Returns:

{
  "projects": [
    {
      "project_id": "uuid-string",
      "name": "Project Name",
      "created_at": "2024-01-01T00:00:00Z"
    }
  ],
  "total": 1,
  "user_id": "[email protected]"
}

create_project

Creates a new project to organize documents and test cases.

Parameters:

• name (string): Unique project name for the user

Example:

{
  "name": "E-commerce Login Flow"
}

2. Document Management

upload_document_to_rag

Uploads documents from the model context to the RAG service for processing.

Parameters:

• filename (string): File name with extension
• filecontent (string): File content from the model’s context
• topic (string, optional): Document category (default: “general”)
• project_id (string, optional): Project ID (default: “default”)

Example:

{
  "filename": "login_requirements.pdf",
  "filecontent": "User authentication requirements...",
  "topic": "authentication",
  "project_id": "project-uuid"
}

3. Test Case Generation

generate_testcase_titles

Generates test case titles by starting a new active session.

Parameters:

• project_id (string): Project ID (not name)
• query (string): User’s request for test case generation

Example:

{
  "project_id": "project-uuid",