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@darient/code-analyzer-mcp

v0.0.3

Published

The Code Analyzer MCP Server is a Model Context Protocol (MCP) server that analyzes code vulnerabilities in directories using OpenAI models, enhancing software security for developers and AI.

Downloads

33

Readme

Code Analyzer MCP

A sophisticated code analysis tool for the Model Context Protocol ecosystem, providing cost estimation, token counting, and vulnerability scanning capabilities.

📦 Project Structure

src/
├── config/
│   └── constant.ts        # Configuration constants and defaults
├── tools/
│   ├── cost-estimator.ts       # Cost calculation utilities
│   ├── list-model-pricing.ts   # Model pricing definitions
│   ├── token-counter.ts        # Token counting implementation
│   └── vulnerability-scanner.ts # Security analysis tools
├── index.ts               # Server initialization
└── server.ts              # MCP server construction

⚙️ Configuration (constants.ts)

Key configuration parameters:

  • DEFAULT_IGNORE: Ignored directories/files
  • DEFAULT_EXTENSIONS: Supported file extensions
  • DEFAULT_ENCODINGS: Supported text encodings
  • MODEL_CONTEXT_WINDOWS: Model context window sizes
  • MODEL_PRICING: Model pricing per 1M tokens
  • CHECK_VULNERABILITY_SYSTEM_MESSAGE: Security analysis prompt
  • OUTPUT_MAX_TOKENS: Max tokens per analysis

🚀 Installation

Prerequisites

Steps

  1. Clone repository:

    git clone https://github.com/darient/code-analyzer-mcp
    cd code-analyzer-mcp
  2. Install dependencies:

    yarn install

🛠 Build

Important: You must build the project before use, as both the inspector and client configurations point to the dist/ directory.

  1. Build project:
    yarn build

🔍 Usage

Note: The following configurations are for local development. Production deployment will be available soon.

MCP Inspector (Local)

npx -y @modelcontextprotocol/inspector -e OPENAI_API_KEY="your-key" npx -y tsx ./dist/index.js

Client Configuration (Local)

{
  "mcpServers": {
    "code-analyzer-mcp": {
      "command": "npx",
      "args": ["-y", "tsx", "/path/to/dist/index.js"],
      "env": {
        "OPENAI_API_KEY": "your-key"
      }
    }
  }
}

🌐 Environment Variables

| Variable | Required | Description | | ---------------- | -------- | ------------------------------- | | OPENAI_API_KEY | Yes | OpenAI API key for model access |

📄 License

This is a private project. All rights reserved.


Note: Ensure proper file permissions and API key security when deploying in production environments.