Vite MCP Server

by ESnark

23 stars
335 downloads
Not rated
GitHub Website

About

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

Details

Author
ESnark
GitHub stars
23
Downloads
335
Categories
Other

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

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name Vite MCP Server
    Command (node, npx, python, etc.)

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

From the repository

Add the server to your MCP configuration (Claude Code: {PROJECT_ROOT}/.mcp.json; Cursor: {PROJECT_ROOT}/.cursor/mcp.json) with command npx -y blowback-context and the optional PROJECT_ROOT environment variable. Then the AI can call the available tools.

how-to-use

Description of how to use the server

start-browser

Creates a new browser context with an auto-generated unique ID

list-browsers

Lists all active browser instances

close-browser

Closes a specific browser instance

get-context-info

Gets detailed information about a specific browser instance

get-context-stats

Gets usage statistics for browsers

get-hmr-events

Retrieves recent HMR events

capture-screenshot

Captures a screenshot of the current page or a specific element. Stores the screenshot in the MCP resource system and returns a resource URI. If ENABLE_BASE64 environment variable is set to 'true', also includes base64 encoded image in the response.

get-element-properties

Retrieves properties and state information of a specific element

get-element-styles

Retrieves style information of a specific element

get-element-dimensions

Retrieves dimension and position information of a specific element

monitor-network

Monitors network requests in the browser for a specified duration

get-element-html

Retrieves the HTML content of a specific element and its children with optional depth control

get-console-logs

Retrieves console logs from the development server

execute-browser-commands

Executes a sequence of predefined browser commands safely. Available commands: - click: Clicks on an element matching the selector or at specified coordinates - type: Types text into an input element - wait: Waits for an element, a specified time period, or a condition - navigate: Navigates to a specified URL - select: Selects an option in a dropdown - check: Checks or unchecks a checkbox - hover: Hovers over an element - focus: Focuses an element - blur: Removes focus from an element - keypress: Simulates pressing a keyboard key - scroll: Scrolls the page or an element - getAttribute: Gets an attribute value from an element - getProperty: Gets a property value from an element - drag: Performs a drag operation from one position to another - refresh: Refreshes the current page Note on coordinates: For all mouse-related commands (click, drag, etc.), coordinates are relative to the browser viewport where (0,0) is the top-left corner. X increases to the right, Y increases downward. Examples are available in the schema definition.

browser-evaluate

Evaluates JavaScript code directly in the browser context and returns the result. Supports expressions, function strings, and complex code with automatic execution handling. Can target the entire page or work with element handles for precise DOM manipulation. Examples: - Simple expression: "document.title" - Arrow function: "() => document.querySelectorAll('a').length" - Regular function: "function() { return document.body.children.length; }" - Function with arguments: "(tag) => document.getElementsByTagName(tag).length" - Complex code: "() => { const divs = document.querySelectorAll('div'); return { count: divs.length, hasClass: divs[0]?.className }; }" - Async function: "async () => { const res = await fetch('/api'); return res.json(); }"

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "vite mcp server": {
            "blowback": {
                "command": "npx",
                "args": [
                    "-y",
                    "blowback-context"
                ],
                "env": {
                    "PROJECT_ROOT": ""
                }
            }
        }
    }
}

McpServers

{
    "blowback": {
        "command": "npx",
        "args": [
            "-y",
            "blowback-context"
        ],
        "env": {
            "PROJECT_ROOT": ""
        }
    }
}

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):

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

{
  "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 <meta name="__mcp_checkpoint" data-id=""> 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 Name | Description |
|-----------|-------------|
| get-hmr-events | Retrieves recent HMR events |
| check-hmr-status | Checks the HMR status |

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

Browser Tools

| Tool Name | Description |
|-----------|-------------|
| start-browser | Starts a browser instance and navigates to the development server. HMR monitoring starts automatically |
| capture-screenshot | Captures a screenshot of the current page or a specific element. Returns screenshot ID and resource URI |
| get-element-properties | Retrieves properties and state information of a specific element |
| get-element-styles | Retrieves style information of a specific element |
| get-element-dimensions | Retrieves dimension and position information of a specific element |
| monitor-network | Monitors network requests in the browser for a specified duration |
| get-element-html | Retrieves the HTML content of a specific element and its children |
| get-console-logs | Retrieves console logs from the browser session with optional filtering |
| execute-browser-commands | Safely executes predefined browser commands |

Help Tools

| Tool Name | Description |
|-----------|-------------|
| how-to-use | Provides 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 <meta name="__mcp_checkpoint" data-id=""> 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

No reviews yet — be the first

Sign in to leave a review

Use Google, GitHub, or an email account so ratings stay tied to real people.

Email sign in

No reviews posted yet.