AIBase
EN
Explore
Code Review Analyst MCP
C

Code Review Analyst MCP

An MCP server based on Gemini, providing code review, analysis, documentation generation, and logic verification functions, supporting 13 tools such as PR review, code smell detection, and complexity analysis.
Developer toolsArtificial intelligence chatbots#Code Review#AI Analysis#Documentation Generation#Logic Verification.TypeScript
2 points
4.6K
Open Site

Overview

Installation

Content Details

Alternatives

What is Code Lens?

Code Lens is an intelligent code analysis server based on the Model Context Protocol (MCP). It leverages the powerful AI capabilities of Google Gemini to provide developers with automated code review, analysis, and documentation generation services. Whether you're reviewing a Pull Request, refactoring code, or need to understand complex code logic, Code Lens can provide professional analysis and suggestions.

How to use Code Lens?

Using Code Lens is very simple: First, configure the MCP server in your favorite development tool (such as VS Code, Cursor, etc.), and then call the various tools provided by Code Lens through the AI assistant. You can ask it to analyze code changes, detect potential issues, generate test plans, or directly ask any questions about the code.

Use Cases

Code Lens is particularly suitable for the following scenarios: 1. Code Review: Automatically analyze Pull Requests, identify risks, and provide merge suggestions. 2. Code Refactoring: Detect code smells and provide refactoring suggestions. 3. Documentation Generation: Automatically generate detailed documentation comments for code. 4. Logic Verification: Verify the correctness of algorithm logic. 5. Performance Analysis: Evaluate the time and space complexity of code.

Main Features

Intelligent PR Review
Automatically analyze code changes, evaluate the impact, detect API breaking changes, and provide a detailed review summary and merge suggestions.
In-depth Code Analysis
Conduct in-depth analysis of a single source code file, providing refactoring suggestions, code smell detection, documentation generation, and natural language Q&A capabilities.
Logic Verification
Use Gemini's code execution sandbox to verify the correctness of algorithm logic and ensure that the code works as expected.
Structured Output
All analysis results are returned in a standardized JSON format, facilitating programmatic processing and integration into other tools.
Internet Search
Integrate Google search functionality to obtain the latest technical documentation and API reference information.
Task Lifecycle Support
Support long-running tasks, providing progress updates, cancellation functionality, and result caching mechanisms.
Advantages
๐Ÿค– Intelligent Analysis: Based on the powerful AI capabilities of Google Gemini, providing professional code analysis
๐Ÿ”„ Automated Process: Automate the complete PR review process, saving manual review time
๐Ÿ“Š Structured Output: All results are in standard JSON format, facilitating integration and processing
๐Ÿ” In-depth Analysis: Support multiple dimensions from code smell detection to performance analysis
๐ŸŒ Internet Connectivity: Access the latest technical information and documentation
โšก Fast Response: Use the Gemini Flash model for fast analysis
Limitations
๐Ÿ”‘ API Key Required: You must configure a Google Gemini API key to use it
๐Ÿ“ Git Dependency: Code change analysis requires a Git environment
๐Ÿ’พ Memory Limitation: Analysis of large files or complex code may be limited by the model's context length
๐ŸŒ Network Dependency: A stable network connection is required to access the Gemini API
๐ŸŽฏ Specific Scenarios: Mainly focused on code analysis, not suitable for general text processing

How to Use

Get an API Key
Visit Google AI Studio to obtain a Gemini API key. This is a prerequisite for using Code Lens.
Configure Your Development Tool
Configure the MCP server in the development tool you are using. Here is an example of configuring VS Code:
Start Using
Call the tools provided by Code Lens in the AI assistant, such as analyzing code changes or reviewing a Pull Request.

Usage Examples

Pull Request Review
When a team member submits a Pull Request, use Code Lens to automatically review the changes, evaluate the risks, and provide merge suggestions.
Code Refactoring Assistance
When refactoring complex code, use Code Lens to identify code smells and provide refactoring suggestions.
Algorithm Logic Verification
When implementing complex algorithms, verify the correctness and performance of the logic.
Technical Research
When you need to learn about new technologies or APIs during development, use the internet search function.

Frequently Asked Questions

Is Code Lens free?
Which programming languages are supported?
Are the analysis results accurate?
How to handle large codebases?
How is data privacy protected?
Is private deployment supported?

Related Resources

GitHub Repository
Source code and issue tracking for Code Lens
npm Package
npm package page for Code Lens
Model Context Protocol Official Website
Official documentation and specifications for the MCP protocol
Google AI Studio
Obtain Gemini API keys and model information
Docker Image
Docker container image for Code Lens
VS Code MCP Documentation
Official guide for configuring the MCP server in VS Code

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "code-lens": {
      "command": "npx",
      "args": ["-y", "@j0hanz/code-lens-mcp@latest"],
      "env": {
        "GEMINI_API_KEY": "your-api-key"
      }
    }
  }
}

{
  "augment.advanced": {
    "mcpServers": [
      {
        "id": "code-lens",
        "command": "npx",
        "args": ["-y", "@j0hanz/code-lens-mcp@latest"],
        "env": {
          "GEMINI_API_KEY": "your-api-key"
        }
      }
    ]
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
8.9K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
10.7K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
16.7K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
8.2K
4 points
P
Paperbanana
Python
10.5K
5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
9.0K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
9.5K
5 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
9.5K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
24.6K
4.5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
39.0K
5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
29.2K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
81.9K
4.3 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
71.3K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
39.0K
5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
23.7K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
57.0K
4.8 points