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Rsdoctor

Rsdoctor is a build analysis tool specifically designed for the Rspack ecosystem, fully compatible with webpack. It provides visual build analysis, multi - dimensional performance diagnosis, and intelligent optimization suggestions to help developers improve build efficiency and engineering quality.
Developer toolsMonitoring#Build analysis#Performance optimization#Visual diagnosis#Intelligent suggestions.TypeScript
5 points
8.6K
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Overview

Content Details

Alternatives

What is Rsdoctor MCP Server?

Rsdoctor MCP Server is a build analysis service based on the Model Context Protocol (MCP). It allows developers to query and analyze project build data through natural language conversations, quickly identifying common build issues such as build performance issues, dependency relationship issues, and abnormal resource sizes.

How to use Rsdoctor MCP Server?

You need to first generate the project's build analysis data through Rsdoctor and then provide the data to the MCP Server. After that, you can connect to the server through an AI assistant that supports the MCP protocol (such as Claude Desktop, Cursor, etc.) and analyze build issues by asking questions.

Applicable scenarios

Suitable for developers who need to quickly diagnose build performance bottlenecks, analyze bundle sizes, find duplicate dependencies, understand module dependency relationships, and optimize build configurations. It is particularly suitable for use in scenarios such as code review, performance optimization, and build issue troubleshooting.

Main features

Natural language build analysis
You can obtain build analysis results by simply asking questions without manually viewing complex report interfaces.
Intelligent problem diagnosis
Automatically identify common build problem patterns, such as performance bottlenecks, duplicate dependencies, large files, etc., and provide optimization suggestions.
Multi-dimensional data analysis
Supports analyzing build data from multiple dimensions, such as build time, resource size, dependency relationships, and Loader/Plugin performance.
Seamless integration with AI assistants
Can be easily integrated into AI tools that support the MCP protocol, such as Claude Desktop and Cursor, to improve development efficiency.
Advantages
Lower the usage threshold: No need to learn complex analysis tools, and you can obtain analysis results through conversations.
Improve efficiency: Quickly locate problems and reduce manual troubleshooting time.
Intelligent suggestions: Provide specific optimization suggestions based on analysis results.
Seamless integration: Well integrated with existing development toolchains and AI assistants.
Limitations
Dependency on build data: You need to first generate build analysis data through Rsdoctor.
Requirement for an MCP client: You must use a client tool that supports the MCP protocol.
Analysis depth: For extremely complex or customized build issues, manual analysis may need to be combined.

How to use

Generate build analysis data
First, configure and run Rsdoctor in your project to generate build analysis data.
Start the MCP Server
Use the Rsdoctor CLI to start the MCP Server and specify the build data path.
Configure the MCP client
Configure the connection to the Rsdoctor MCP Server in your MCP client (such as Claude Desktop).
Start conversation analysis
Ask questions in natural language in the AI assistant to analyze your build data.

Usage examples

Performance bottleneck analysis
Developers find that the project build speed has slowed down and quickly locate the specific performance bottleneck through the MCP Server.
Bundle size optimization
The file volume after project packaging is too large, and it is necessary to analyze and optimize the bundle size.
Duplicate dependency detection
There may be multiple versions of the same dependency in the project, resulting in bundle volume inflation and potential conflicts.

Frequently asked questions

Which build tools does the MCP Server support?
Do I need to install an additional AI model?
Will the build data be sent to the cloud?
How to update the build analysis data?

Related resources

Rsdoctor official documentation
Complete documentation for using Rsdoctor and MCP Server
Model Context Protocol official website
Understand the technical details and specifications of the MCP protocol
GitHub repository
Rsdoctor open - source code library, including the MCP Server source code
Example project
Demonstration project containing examples of using the MCP Server

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

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