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Code Graph Rag MCP
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Code Graph Rag MCP

Code Graph RAG MCP is an advanced model context protocol server that provides 13 professional tools for code understanding, relationship mapping, and semantic search through intelligent graph representation and multi - language code analysis capabilities.
Developer toolsResearch and data#Code Graph#Semantic Analysis#Multi - language Support#Intelligent Search.TypeScript
2.5 points
5.6K
Open Site

Overview

Tools List

Content Details

Alternatives

What is the Code Graph RAG MCP Server?

Code Graph RAG MCP is an advanced AI code analysis tool that can automatically analyze your code repository, extract code entities (such as functions, classes, variables, etc.), and build a complete code relationship graph. It uses semantic analysis technology, allowing you to search and understand code just like searching for documents.

How to Use Code Graph RAG MCP?

Simply configure the path of your code repository, and the server will automatically scan and analyze the code. Then you can search for code, analyze relationships, find similar code snippets, and get intelligent code improvement suggestions through natural language queries.

Use Cases

Suitable for scenarios such as software development teams, code review, technical debt analysis, new member code familiarization, cross - language project maintenance, and code refactoring planning. It is especially suitable for understanding and maintaining large and complex code repositories.

Main Features

Multi - language Support
Supports in - depth analysis of 6 programming languages, including TypeScript/JavaScript, Python, Java, C/C++, Go, and Rust
Semantic Code Search
Uses AI technology to understand search intentions, not only matching keywords but also understanding the semantic meaning of code
Code Relationship Mapping
Automatically builds a complete code graph of function call relationships, class inheritance relationships, module dependency relationships, etc.
Similar Code Detection
Intelligently identifies repeated or similar code patterns to help eliminate code redundancy
Refactoring Suggestions
Provides specific refactoring and improvement suggestions based on code quality analysis
Impact Analysis
Predicts the impact of code modifications on other parts of the system to reduce change risks
Cross - language Analysis
Analyzes the interaction relationships between different language components in multi - language projects
Code Hotspot Analysis
Identifies areas with high code complexity and frequent modifications to help prioritize the handling of technical debt
Advantages
๐Ÿš€ High - performance analysis: Can process over 100 files per second, 5.5 times faster than traditional tools
๐Ÿง  Intelligent understanding: Uses AI technology to deeply understand code semantics, not just syntax analysis
๐Ÿ” Precise search: Supports natural language queries, and search results are more in line with developers' intentions
๐Ÿ“Š Visualized relationships: Clear code relationship graphs for easy understanding of complex systems
๐Ÿ’พ Low resource consumption: Optimized memory usage, only requires <1GB of memory for large code repository analysis
๐Ÿ”ง Easy to integrate: Supports mainstream development environments such as Claude Desktop
Limitations
Requires a Node.js 18+ runtime environment, with limited support for old systems
Initial code analysis may take a long time (depending on the size of the code repository)
Analysis of some edge programming language features may not be perfect
Requires a certain learning cost to fully utilize all advanced functions

How to Use

Environment Preparation
Ensure that Node.js version 18+ is installed on the system, which is the basic requirement for running the server
Installation and Configuration
Install the server package via NPM and configure the path of your code repository
Start the Service
Start the MCP server and connect it to your development environment (such as Claude Desktop)
Start Analysis
The server will automatically scan and analyze the code repository to build a complete code graph
Perform Queries
Use natural language or specific commands to search and analyze code

Usage Examples

Code Understanding and Exploration
New developers joining a project can quickly understand the code repository structure and key components
Code Refactoring Planning
Analyze the code impact scope and dependency relationships before refactoring
Technical Debt Identification
Discover repeated patterns and areas that need improvement in the code
Cross - language Dependency Analysis
Understand the interaction between different components in multi - language projects

Frequently Asked Questions

Which programming languages does this tool support?
How long does it take to analyze a large code repository?
Is an internet connection required?
How to integrate it into the existing development process?
How to save and share the analysis results?
Does it support incremental analysis?

Related Resources

Official Documentation
Complete technical documentation and API reference
Installation Guide
Detailed installation and configuration steps
Usage Examples
Actual usage cases and code examples
Problem Feedback
Report bugs and propose feature suggestions
Claude Desktop Integration Guide
How to integrate and use with Claude Desktop

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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