MCP Testing Server
A local testing tool for APIs, web browsers, and phone UI using the Model Context Protocol.
README
MCP Testing Server
A Model Context Protocol (MCP) server for testing API endpoints, web browsers, and phone UI locally.
Features
API Testing
- Make HTTP requests (GET, POST, PUT, DELETE, PATCH)
- Batch API testing
- Custom headers, body, and query parameters
- Response validation
Web Browser Testing
- Navigate to URLs
- Click elements
- Type into input fields
- Take screenshots
- Extract text content
- Wait for elements
- Multiple tabs/pages support
Phone UI Testing
- Mobile browser simulation with device presets
- Tap interactions
- Swipe gestures
- Mobile viewport screenshots
- Device-specific testing (iPhone, Samsung, etc.)
Setup
Prerequisites
- Python 3.8 or higher
- pip (Python package manager)
Installation
- Navigate to the mcp-server directory:
cd mcp-server
- Create a virtual environment (recommended):
python3 -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
- Install dependencies:
pip install -r requirements.txt
- Install Playwright browsers:
playwright install chromium
Running the Server
Method 1: Direct Python execution
python server.py
Method 2: Using the startup script
chmod +x start.sh
./start.sh
Method 3: As an MCP server (for Cursor/Claude Desktop)
Add to your MCP configuration file (usually ~/.cursor/mcp.json or similar):
{
"mcpServers": {
"testing-server": {
"command": "python",
"args": ["/absolute/path/to/mcp-server/server.py"],
"env": {}
}
}
}
Usage Examples
API Testing
Test a GET request:
{
"tool": "api_test_request",
"arguments": {
"url": "https://api.example.com/users",
"method": "GET",
"headers": {
"Authorization": "Bearer token"
}
}
}
Test a POST request:
{
"tool": "api_test_request",
"arguments": {
"url": "https://api.example.com/users",
"method": "POST",
"headers": {
"Content-Type": "application/json"
},
"body": {
"name": "John Doe",
"email": "john@example.com"
}
}
}
Web Browser Testing
Navigate to a URL:
{
"tool": "browser_navigate",
"arguments": {
"url": "https://example.com",
"page_id": "main"
}
}
Click an element:
{
"tool": "browser_click",
"arguments": {
"selector": "button#submit",
"page_id": "main"
}
}
Take a screenshot:
{
"tool": "browser_screenshot",
"arguments": {
"page_id": "main",
"full_page": true,
"path": "./screenshot.png"
}
}
Phone UI Testing
Navigate on mobile:
{
"tool": "phone_navigate",
"arguments": {
"url": "https://example.com",
"device": "iPhone 12",
"page_id": "mobile_test"
}
}
Tap an element:
{
"tool": "phone_tap",
"arguments": {
"selector": "button.login",
"page_id": "mobile_test"
}
}
Swipe:
{
"tool": "phone_swipe",
"arguments": {
"direction": "up",
"distance": 300,
"page_id": "mobile_test"
}
}
Available Device Presets
- iPhone 12
- iPhone 13
- iPhone 13 Pro
- iPhone 14
- Samsung Galaxy S21
- Samsung Galaxy S20
- Pixel 5
- iPad Pro
- And more (see Playwright device list)
Troubleshooting
Browser doesn't launch
- Make sure Playwright browsers are installed:
playwright install chromium - Check that you have necessary system dependencies
Import errors
- Ensure all dependencies are installed:
pip install -r requirements.txt - Verify Python version is 3.8+
Port conflicts
- The server uses stdio for communication, so no ports are needed
- If browser instances conflict, close existing browser windows
Notes
- The server runs in non-headless mode by default (browsers are visible)
- Multiple pages/tabs are supported via
page_idparameter - Screenshots can be saved to disk or returned as base64
- All browser instances are managed automatically
License
This is a testing tool for local development purposes.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.