cwe-search_mcp

cwe-search_mcp

Enables querying MITRE's Common Weakness Enumeration database for vulnerability information, supporting CWE lookup, search, taxonomy navigation, and relationship mapping through MCP.

Category
访问服务器

README

CWE Search MCP

A Python-based interface to MITRE's Common Weakness Enumeration (CWE) database via the official API, enabling seamless vulnerability research and integration with MCP-compatible systems.

Python Version License: MIT CWE API fastmcp uv

Twitter LinkedIn GitHub

Overview

The CWE Search MCP provides a robust Python implementation for interacting with MITRE's Common Weakness Enumeration (CWE) database through its official API. Designed for security researchers, developers, and vulnerability analysts, this mcp enables efficient querying of vulnerability information and integrates seamlessly with MCP-compatible systems using stdio transport.

This solution solves the problem of fragmented vulnerability research by providing a unified interface to:

  • Retrieve detailed CWE information programmatically
  • Explore vulnerability relationships and hierarchies
  • Integrate CWE data into security tooling and workflows
  • Automate vulnerability analysis and reporting

Key Features

  • Comprehensive Vulnerability Lookup: Retrieve detailed information by CWE ID
  • Intelligent Search: Find vulnerabilities by keyword across descriptions
  • Taxonomy Navigation: Explore CWE categories and views
  • Relationship Mapping:
    • Parent/child vulnerability relationships
    • Full ancestor/descendant hierarchies
    • View-filtered relationship analysis
  • Automatic Normalization: Handles CWE IDs with or without "CWE-" prefix
  • Zero Configuration: No authentication required for MITRE's public API
  • MCP Integration: Ready for stdio transport with MCP-compatible systems
  • Batch Processing: Retrieve multiple vulnerabilities in single requests

Implemented API Endpoints

The mcp implements the following MITRE CWE API endpoints:

Endpoint Description
/cwe/version Get CWE content version information
/cwe/{id} Retrieve metadata for specified CWE ID(s)
/weakness/{id(s)} Get weaknesses by ID(s) or all weaknesses
/cwe/category/{id(s)} Retrieve categories by ID(s) or all categories
/cwe/view/{id(s)} Get views by ID(s) or all views
/cwe/{id}/parents Get parents of a weakness (view-filtered)
/cwe/{id}/children Get children of a weakness (view-filtered)
/cwe/{id}/ancestors Get ancestors of a weakness (view-filtered)
/cwe/{id}/descendants Get descendants of a weakness (view-filtered)

Getting Started

Prerequisites

  • Python 3.10+
  • uv package manager

Installation

  1. Clone the repository:

    git clone https://github.com/Bilel-Eljaamii/cwe-search_mcp.git
    cd cwe-search_mcp
    
  2. Install dependencies:

    pip install requests fast-mcp
    

Usage Guide

Standalone Execution

Run the mcp as a standalone module:

DANGEROUSLY_OMIT_AUTH=true mcp dev main.py

Output:

[06/28/25 12:46:09] INFO     Starting cwe-search_mcp
Starting MCP inspector...
⚙ Proxy server listening on 127.0.0.1:6277WARNING: Authentication is disabled. This is not recommended.
New STDIO connection request
STDIO transport: command=/usr/bin/uv, args=run,--with,mcp,mcp,run,main.py
Created server transport
Created client transport
🔍 MCP Inspec

assets/img/demoMCPdev.png

MCP Client Integration

To integrate the CWE Search Service with your MCP client:

  1. Locate Configuration: Open your MCP client configuration file

  2. Update Path: Set CWE_SEARCH_SERVICE_PATH to the absolute path of your local installation directory

  3. Add to your mcp client configuration file, modify the 3."CWE_SEARCH_SERVICE_PATH" as you self dir.

"cwe-search_mcp": {
  "autoApprove": [],
  "disabled": false,
  "timeout": 60,
  "type": "stdio",
  "command": "uv",
  "args": [
    "--directory",
    "CWE_SEARCH_SERVICE_PATH",
    "run",
    "main.py"
  ]
}

AnythingLLM

assets/img/AnythingLLM_integraton.png

Cline / VSCode

assets/img/Cline_integraton.png

Key Notes

  • Authentication: No credentials required - MITRE's CWE API is publicly accessible
  • Input Normalization: MCP automatically handles CWE ID formats:
    • 79 → Normalized to 79
    • CWE-79 → Normalized to 79
    • cwe79 → Normalized to 79
  • Batch Processing: Comma-separated IDs supported for most endpoints
  • all Keyword: Retrieve all items for weakness, category, and view endpoints

Dependencies

  • requests - HTTP library for API communication
  • fastmcp - The fast, Pythonic way to build MCP servers and clients.
# Using uv (recommended)
uv init
uv venv
source ./venv/bin/activate
uv pip install "mcp[cli]" "requests"

Contributing

We welcome contributions! Please follow these steps:

  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/your-feature)
  3. Commit your changes (git commit -am 'Add some feature')
  4. Push to the branch (git push origin feature/your-feature)
  5. Open a pull request

Please ensure your code follows PEP 8 style guidelines and includes appropriate tests.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgements & Resources


Empower your vulnerability research with direct access to MITRE's CWE database through this lightweight, integration-ready MCP. Contribute, customize, and enhance your security workflows today!

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选