Web Developer MCP Server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Web Developer MCP ServerNavigate to http://localhost:3000 and capture network requests."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Web Developer MCP Server
A Model Context Protocol (MCP) server that provides web development tools for coding AI assistants like Claude Code, Cursor, and other AI-powered development environments. This server enables AI assistants to inspect web pages, monitor network requests, extract HTML, analyze console output, and examine DOM elements in real-time through a Playwright-powered browser.
Perfect for debugging web applications, testing UI components, analyzing API behavior, and understanding page behavior during development.
Why Use This?
When working with AI coding assistants, you often need to:
Debug web applications and understand what's happening in the browser
Analyze network requests and API responses
Inspect DOM elements and their properties
Monitor console logs and errors
Extract HTML for testing or analysis
This MCP server provides your AI assistant with direct browser access to help with these tasks.
Features
Live Browser Integration: Uses Playwright with a persistent browser session
Page Interactions: Click elements, fill form inputs, and submit forms
Network Request Monitoring: Capture and analyze HTTP requests/responses
Real-time Console Monitoring: Captures console logs, errors, and warnings as they happen
DOM Inspection: Deep analysis of elements including styles, positioning, and visibility
HTML Extraction: Raw markup extraction similar to React Testing Library queries
Installation
Add this server to your AI assistant's MCP configuration (see Configuration section below for specific setup instructions).
From Source
git clone https://github.com/Artmann/web-developer-mcp.git
cd web-developer-mcp
bun installUsage
Start the MCP server:
bun startThe server will start and wait for MCP client connections from your AI assistant.
Configuration
Add this server to your AI assistant's MCP configuration:
Cursor
Or manually add to your MCP configuration file:
{
"web-developer-mcp": {
"command": "npx",
"args": ["web-developer-mcp@latest"]
}
}Claude Code
Add this server using the Claude Code CLI:
claude mcp add -s user web-developer-mcp npx web-developer-mcp@latestAvailable Tools
Browser Navigation
browser-navigate
Navigate the browser to a specific URL and start monitoring the page.
Parameters:
url(string): The URL to navigate to
Example use case: Navigate to http://localhost:3000 to debug your
development server
browser-reload
Reload the current page and refresh console logs.
No parameters required
Use case: Refresh the page after code changes or to clear current state
Page Interactions
click-element
Click on an element (button, link, etc.) using a CSS selector.
Parameters:
selector(string): CSS selector for the element to click (e.g."button.submit","#login-btn")
Example use cases:
Click buttons to trigger actions
Click links to navigate
Interact with UI elements during testing
fill-input
Fill a form input field with text.
Parameters:
selector(string): CSS selector for the input element (e.g."input[name=email]","#username")value(string): The text value to enter into the field
Example use cases:
Fill out login forms
Enter test data into inputs
Populate form fields for testing
submit-form
Submit a form element.
Parameters:
selector(string): CSS selector for the form element (e.g."form#login","form[name=contact]")
Example use cases:
Submit forms after filling inputs
Trigger form validation
Test form submission workflows
Console Monitoring
browser-console
Retrieve all console messages (logs, errors, warnings) from the current page.
No parameters required
Returns: All console output captured since navigation, including:
Console logs (
console.log,console.info)Warnings (
console.warn)Errors (
console.error)JavaScript errors and exceptions
DOM Analysis
inspect-elements
Get detailed information about DOM elements including styles, position, visibility, and attributes.
Parameters:
selector(string): CSS selector to query elements (e.g..button,#header,div[data-test])
Returns: JSON with element details including:
Tag name, ID, class names
All HTML attributes
Position and dimensions (x, y, width, height)
Computed styles (colors, fonts, display, visibility, etc.)
Visibility status and accessibility properties
Example use cases:
Debug CSS styling issues
Verify element positioning
Check if elements are visible to users
Analyze accessibility attributes
extract-html
Extract raw HTML markup of elements for testing or analysis (similar to React Testing Library queries).
Parameters:
selector(string): CSS selector to extract HTML from (e.g..alert,[role=dialog])
Returns: Raw HTML markup of matching elements
Example use cases:
Extract component HTML for testing
Analyze rendered output
Debug template rendering issues
Network Request Monitoring
network-requests
List all network requests captured since page load with optional filtering.
Parameters:
filter(string, optional): Filter requests by URL substring (e.g."api","/users")statusRange(string, optional): Filter by HTTP status code range (e.g."400-499","500-599") or single status (e.g."404")
Returns: JSON list of network requests with:
Request ID, method, URL
HTTP status code and status text
Response size and duration
Timestamp
Example use cases:
Debug API integration issues
Monitor failed requests (4xx, 5xx status codes)
Analyze page load performance
Verify API calls are being made correctly
network-inspect
Get detailed information about a specific network request including headers, body, and response data.
Parameters:
id(string, optional): Request ID fromnetwork-requestsoutputurlPattern(string, optional): URL pattern to find the most recent matching request
Returns: Detailed request/response information including:
Request and response headers
Request and response body (parsed JSON when possible)
HTTP status and timing information
Error details for failed requests
Example use cases:
Debug API request/response data
Analyze request headers and authentication
Inspect response payloads
Troubleshoot failed network requests
network-clear
Clear the network request buffer to start fresh monitoring.
No parameters required
Use case: Clear request history to focus on new requests after page changes
AI Agent Instructions
Add this to your .cursorrules, CLAUDE.md, or AI assistant configuration:
# Web Developer MCP
You have access to browser automation tools via web-developer-mcp:
**Browser:** `browser-navigate(url)`, `browser-reload()`
**Interactions:** `click-element(selector)`, `fill-input(selector, value)`,
`submit-form(selector)`
**Console:** `browser-console(filter?, head?, tail?)` - Get logs/errors/warnings
- Filter by text: `browser-console(filter='[error]')`
- Last N logs: `browser-console(tail=10)`
**DOM:** `inspect-elements(selector)`, `extract-html(selector)`
**Network:** `network-requests(filter?, statusRange?, head?, tail?)`,
`network-inspect(id|urlPattern)`, `network-clear()`
- Failed requests: `network-requests(statusRange='400-599')`
- API calls: `network-requests(filter='/api/', tail=5)`
Use for debugging web apps, interacting with pages, analyzing network requests,
inspecting console errors, or examining DOM elements.Common Use Cases
Debugging a Web Application
Navigate to your app:
browser-navigate→http://localhost:3000Check console for errors:
browser-consoleMonitor API calls:
network-requestswith filter"api"Inspect failed requests:
network-inspectwith specific request IDAnalyze UI elements:
inspect-elementswith CSS selector
Testing UI Components
Navigate to component page
Extract component HTML:
extract-htmlwith component selectorInspect element properties:
inspect-elementsfor styling verificationCheck console for warnings:
browser-console
API Integration Analysis
Navigate to page that makes API calls
Monitor all requests:
network-requestsFilter for specific API endpoints:
network-requestswith URL filterInspect request/response details:
network-inspectClear history and test again:
network-clear
Testing Form Workflows
Navigate to page with form
Fill form fields:
fill-inputwith field selectors and valuesSubmit the form:
submit-formwith form selectorCheck console for errors:
browser-consoleMonitor API requests:
network-requeststo verify form submission
Requirements
Bun runtime
Node.js compatible environment
AI assistant with MCP support (Claude Code, Cursor, etc.)
Browser Behavior
Uses Playwright with Chromium in headless mode
Maintains a single persistent browser session
Automatically captures console logs and network requests
Browser state persists between tool calls until restart
This server cannot be installed
Maintenance
Resources
Unclaimed servers have limited discoverability.
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If you are the server author, to access and configure the admin panel.
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