MCP Security Analyst

MCP Security Analyst

A MCP (Model Context Protocol) server to allow code security reviews using

gleicon

研究与数据
访问服务器

README

MCP Security Analyst

Go

A Model Context Protocol (MCP) server that provides security analysis capabilities by integrating with OSV.dev and AI models to help identify and analyze potential vulnerabilities in your codebase.

Features

  • Vulnerability checking using OSV.dev database
  • Basic security analysis of code files
  • Integration with AI models for security insights
  • MCP protocol support for seamless integration with various AI tools
  • Optional static code analysis using Semgrep (if installed)

Requirements

Core Requirements

make deps
make install

Optional: Semgrep Installation

For enhanced static code analysis, you can install Semgrep:

macOS

brew install semgrep

Linux

python3 -m pip install semgrep

Other platforms

Visit Semgrep Installation Guide for detailed instructions.

The MCP server will work without Semgrep installed, but will skip the static analysis portion when analyzing directories.

Installation

make deps
make install

The mcp-osv command will be installed on PATH and use the stdin/stdout method.

Configure your LLM to use mcp-osv as an agent.

  1. The server provides the following tools:

check_vulnerabilities

Check for known vulnerabilities in dependencies using OSV.dev database.

Parameters:

  • package_name: Name of the package to check
  • version: Version of the package to check

analyze_security

Analyze code for potential security issues based on https://osv.dev - a comprehensive database of open-source vulnerabilities.

Parameters:

  • file_path: Path to the file to analyze

Integration with AI Models

This server is designed to work with AI models like Claude and Cursor through the MCP protocol. The AI models can use the provided tools to:

  1. Check dependencies for known vulnerabilities
  2. Analyze code for security issues
  3. Provide recommendations for security improvements

Connecting with Cursor

Sample output

output-1 output-2 output-3

Usage

See mcp.json-template for an example that works with Cursor IDE.

After the setup, restart and ask something like "Analyze the security of my project using mcp-osv".

To Debug in VSCode go to Help -> Toggle developer tools and at the console look for mcp.

To test the security analysis capabilities:

# Check for vulnerabilities in a package
"Check for vulnerabilities in the package 'express' version '4.17.1'"

# Analyze a specific file
"Analyze the security of the file 'main.go'"

The server will process your requests and provide security insights through the MCP protocol.

Connect to Claude

Edit the config file and add the following section (that's the whole file, consider the mcp_osv section if you already have other tools installed.)

{
    "mcpServers": {
        "mcp_osv": {
            "command": "/usr/local/bin/mcp-osv",
            "args": []
        }
    }
}

Development

To add new security analysis capabilities:

  1. Create a new tool using mcp.NewTool
  2. Implement the tool handler
  3. Add the tool to the server using s.AddTool
  4. check https://github.com/mark3labs/mcp-go for a comprehensive framework to build MCPs in Go.

License

MIT

推荐服务器

Crypto Price & Market Analysis MCP Server

Crypto Price & Market Analysis MCP Server

一个模型上下文协议 (MCP) 服务器,它使用 CoinCap API 提供全面的加密货币分析。该服务器通过一个易于使用的界面提供实时价格数据、市场分析和历史趋势。 (Alternative, slightly more formal and technical translation): 一个模型上下文协议 (MCP) 服务器,利用 CoinCap API 提供全面的加密货币分析服务。该服务器通过用户友好的界面,提供实时价格数据、市场分析以及历史趋势数据。

精选
TypeScript
MCP PubMed Search

MCP PubMed Search

用于搜索 PubMed 的服务器(PubMed 是一个免费的在线数据库,用户可以在其中搜索生物医学和生命科学文献)。 我是在 MCP 发布当天创建的,但当时正在度假。 我看到有人在您的数据库中发布了类似的服务器,但还是决定发布我的。

精选
Python
mixpanel

mixpanel

连接到您的 Mixpanel 数据。从 Mixpanel 分析查询事件、留存和漏斗数据。

精选
TypeScript
Sequential Thinking MCP Server

Sequential Thinking MCP Server

这个服务器通过将复杂问题分解为顺序步骤来促进结构化的问题解决,支持修订,并通过完整的 MCP 集成来实现多条解决方案路径。

精选
Python
Nefino MCP Server

Nefino MCP Server

为大型语言模型提供访问德国可再生能源项目新闻和信息的能力,允许按地点、主题(太阳能、风能、氢能)和日期范围进行筛选。

官方
Python
Vectorize

Vectorize

将 MCP 服务器向量化以实现高级检索、私有深度研究、Anything-to-Markdown 文件提取和文本分块。

官方
JavaScript
Mathematica Documentation MCP server

Mathematica Documentation MCP server

一个服务器,通过 FastMCP 提供对 Mathematica 文档的访问,使用户能够从 Wolfram Mathematica 检索函数文档和列出软件包符号。

本地
Python
kb-mcp-server

kb-mcp-server

一个 MCP 服务器,旨在实现便携性、本地化、简易性和便利性,以支持对 txtai “all in one” 嵌入数据库进行基于语义/图的检索。任何 tar.gz 格式的 txtai 嵌入数据库都可以被加载。

本地
Python
Research MCP Server

Research MCP Server

这个服务器用作 MCP 服务器,与 Notion 交互以检索和创建调查数据,并与 Claude Desktop Client 集成以进行和审查调查。

本地
Python
Cryo MCP Server

Cryo MCP Server

一个API服务器,实现了模型补全协议(MCP),用于Cryo区块链数据提取。它允许用户通过任何兼容MCP的客户端查询以太坊区块链数据。

本地
Python