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    Blowback

    MCP Server for Frontend dev environment (formerly known as vite-mcp-server)

    21 stars
    TypeScript
    Updated Sep 17, 2025

    Table of Contents

    • How to Use
    • Environment Variables
    • Key Features
    • init Prompt
    • Tools
    • HMR Tools
    • Browser Tools
    • Help Tools
    • Resources
    • screenshots
    • screenshot-by-url
    • Data Storage Structure
    • Screenshot Storage
    • Log Management System
    • Checkpoint System
    • How Checkpoints Work
    • Architecture and Data Flow
    • Core Components
    • Data Sources and State Management
    • Communication Flow
    • State Maintenance

    Table of Contents

    • How to Use
    • Environment Variables
    • Key Features
    • init Prompt
    • Tools
    • HMR Tools
    • Browser Tools
    • Help Tools
    • Resources
    • screenshots
    • screenshot-by-url
    • Data Storage Structure
    • Screenshot Storage
    • Log Management System
    • Checkpoint System
    • How Checkpoints Work
    • Architecture and Data Flow
    • Core Components
    • Data Sources and State Management
    • Communication Flow
    • State Maintenance

    Documentation

    Blowback

    Vite MCP Server is now Blowback

    Blowback aims to support various FE development servers, not only Vite

    A Model Context Protocol (MCP) server that integrates FE development servers with AI tools like Claude Desktop and Cursor.

    How to Use

    Command (Claude Code):

    bash
    claude mcp add blowback -s project -e PROJECT_ROOT=/path/to/your/project -- npx -y blowback-context

    Or use json configuration:

    • Claude Code: {PROJECT_ROOT}/.mcp.json
    • Cursor: {PROJECT_ROOT}/.cursor/mcp.json
    json
    {
      "mcpServers": {
        "blowback": {
          "command": "npx",
          "args": ["-y", "blowback-context"],
          "env": {
            "PROJECT_ROOT": "/path/to/your/project"
          }
        }
      }
    }

    Environment Variables

    • PROJECT_ROOT: Project root path (optional, defaults to current working directory)
    • ENABLE_BASE64: Include base64 encoded images in tool responses (default: false / affects token usage and context window when enabled)

    Key Features

    • Integration of local development server with MCP server
    • Browser console log capture and transmission via MCP
    • Checkpoint-based log management
    • Screenshot capture and SQLite database management
    • HMR (Hot Module Replacement) event monitoring
    • Browser automation and element inspection

    init Prompt

    The init prompt provides guidance to AI assistants on how to effectively use the following features:

    Cursor Chat does not support MCP prompt functionality, so this feature is not available. (Claude Code recommended)

    If needed, manually input the following prompt:

    You can use checkpoint features by inserting `` into the head to create a named snapshot of the current state.

    The data-id attribute is a unique identifier for the checkpoint.

    Console logs generated in the browser while a checkpoint is active are tagged with the checkpoint ID and can be queried individually.

    Note: In some development environments, hot reload is triggered when files are saved, so carefully consider the sequence between meta tag changes and the changes you want to observe. Make sure to set the checkpoint meta tag before making the changes you want to track.

    You can use the capture-screenshot tool to take screenshots. The captured screenshots are stored in the @.mcp_screenshot/ directory.

    Tools

    HMR Tools

    Tool NameDescription
    get-hmr-eventsRetrieves recent HMR events
    check-hmr-statusChecks the HMR status

    Note: HMR connection is optional, not required. HMR event monitoring starts automatically when the browser is launched.

    Browser Tools

    Tool NameDescription
    start-browserStarts a browser instance and navigates to the development server. HMR monitoring starts automatically
    capture-screenshotCaptures a screenshot of the current page or a specific element. Returns screenshot ID and resource URI
    get-element-propertiesRetrieves properties and state information of a specific element
    get-element-stylesRetrieves style information of a specific element
    get-element-dimensionsRetrieves dimension and position information of a specific element
    monitor-networkMonitors network requests in the browser for a specified duration
    get-element-htmlRetrieves the HTML content of a specific element and its children
    get-console-logsRetrieves console logs from the browser session with optional filtering
    execute-browser-commandsSafely executes predefined browser commands

    Help Tools

    Tool NameDescription
    how-to-useProvides instructions on how to use specific features of the server

    Resources

    screenshots

    A resource for querying all captured screenshots. You can query screenshot reference IDs captured by the capture-screenshot tool using various criteria.

    Images corresponding to reference IDs are managed in the {PROJECT_ROOT}/.mcp_screenshot/ directory.

    • URI: screenshot://
    • Returns a list of all screenshots

    screenshot-by-url

    A resource for querying specific screenshots based on URL path.

    Note: Starting from version 1.0, Blob responses through resources are disabled by default, and file reference information is returned instead

    • URI template: screenshot://{+path}
    • Example: screenshot://localhost:5173/about
    • Use URL paths without protocol (http://, https://)

    Data Storage Structure

    Screenshot Storage

    • Screenshot images: Stored in {PROJECT_ROOT}/.mcp_screenshot/ directory
    • Metadata: Managed in SQLite database in temporary directory
    • It's recommended to add .mcp_screenshot/ directory to .gitignore

    Log Management System

    • Captures browser console logs and saves them to files for querying
    • Checkpoint logs are only saved when checkpoints are active

    Checkpoint System

    How Checkpoints Work

    • Checkpoints are used to manage snapshots, logs, screenshots, etc. of specific versions
    • When ` is inserted into the head`, data is recorded separately using the data-id attribute as an identifier

    Architecture and Data Flow

    Core Components

    1. MCP Server: Central module that exposes tools and resources to AI tools using the Model Context Protocol SDK.

    2. Browser Automation: Uses Playwright to control Chrome for visual inspection, screenshot capture, and DOM manipulation.

    3. Checkpoint System: Maintains snapshots of browser states for comparison and testing.

    4. SQLite Database: Efficiently manages screenshot metadata and enables quick URL-based queries.

    Data Sources and State Management

    The server maintains several important data stores:

    • HMR Event Records: Tracks recent HMR events (updates, errors) from development server.
    • Console Message Logs: Captures browser console output for debugging.
    • Checkpoint Storage: Stores named snapshots of browser states including DOM snapshots.
    • Screenshot Storage: Saves images in project directory and manages metadata with SQLite.

    Communication Flow

    1. MCP Client → Development Server:

    • MCP Client changes the source code and development server detects the change
    • Development server automatically updates the browser or emits HMR events

    2. Web Browser → MCP Server:

    • HMR events and console logs are captured through Playwright
    • MCP Server queries the current state of the browser or captures screenshots

    3. MCP Server → MCP Client:

    • The server converts HMR events into structured responses
    • Provides tools for MCP Client to query HMR status, capture screenshots, and more

    State Maintenance

    The server maintains reference objects for:

    • Current browser and page instances
    • Recent HMR events

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