Security audit tool reviews npm dependencies for real-time vulnerability scanning and fix recommendations
The MCP Security Audit Tool is a powerful Model Context Protocol (MCP) server specifically designed to enhance AI applications such as Claude Desktop, Continue, Cursor, and others by providing real-time security vulnerability scanning for npm package dependencies. Built with remote npm registry integration for seamless and accurate security checks, this tool ensures that your AI application's components remain up-to-date and secure against potential risks.
The Security Audit Tool continuously monitors the npm package dependencies used by AI applications to detect any existing or emerging vulnerabilities. By integrating with a remote npm registry, it ensures that you always have access to the latest security patches and advisories.
By leveraging a remote npm registry through MCP communication, this tool provides real-time data pull for comprehensive security checks. This capability allows AI applications to maintain an up-to-date and secure environment without manual intervention.
Upon detecting potential vulnerabilities, the Security Audit Tool generates detailed reports that include severity levels ranging from critical to low. The reports go beyond mere identification by providing recommendations for mitigation strategies based on CVSS scores and CVE references.
The server categorizes detected vulnerabilities into four distinct severity levels, enabling AI applications to prioritize their response measures effectively. This hierarchical structure helps in resource allocation and mitigation efforts according to the risk level of each vulnerability.
Designed to work across various package managers commonly used by developers, the Security Audit Tool supports a broad range of projects without requiring changes to existing dependencies or workflows.
For detected vulnerabilities, the tool provides automatic fix recommendations, streamlining the process for AI application maintainers and ensuring that they can quickly address potential security issues before they escalate.
Each vulnerability report includes the Common Vulnerability Scoring System (CVSS) score and corresponding Common Vulnerabilities & Exposures (CVE) references. This provides a standardized method of assessing and tracking vulnerabilities across different components of an AI application.
The Security Audit Tool's architecture is heavily influenced by the Model Context Protocol (MCP), which acts as a universal adapter for integrating diverse AI applications with specific data sources and tools. The server communicates via MCP, enabling seamless interaction between various clients and services, ensuring compatibility at multiple levels: from client software to network protocols.
graph TD
A[AI Application] -->|MCP Client| B[MCP Protocol]
B --> C[MCP Server]
C --> D[Data Source/Tool]
style A fill:#e1f5fe
style C fill:#f3e5f5
style D fill:#e8f5e8
The Security Audit Tool supports multiple MCP clients, ensuring broad compatibility within the AI development ecosystem. Currently, it is fully supported by Claude Desktop and Continue, but Cursor uses it strictly for data processing without full client functions.
MCP Client | Resources | Tools | Prompts |
---|---|---|---|
Claude Desktop | ✅ | ✅ | ✅ |
Continue | ✅ | ✅ | ✅ |
Cursor | ❌ | ✅ | ❌ |
To install the Security Audit Tool for integration with AI applications automatically via Smithery, execute the following command:
npx -y @smithery/cli install @qianniuspace/mcp-security-audit --client claude
This command integrates the tool directly into an AI application like Claude Desktop with minimal setup.
To configure the Security Audit Tool via MCP in a client such as Cline or Cursor, you add its configuration to your project's settings file:
{
"mcpServers": {
"mcp-security-audit": {
"command": "npx",
"args": ["-y", "mcp-security-audit"]
}
}
}
Alternatively, you can download the source code and install dependencies manually:
Clone the repository:
git clone https://github.com/qianniuspace/mcp-security-audit.git
cd mcp-security-audit
Install dependencies and build:
npm install
npm run build
Add MCP configuration to your project settings file:
{
"mcpServers": {
"mcp-security-audit": {
"command": "npx",
"args": ["-y", "/path/to/mcp-security-audit/build/index.js"]
}
}
}
In a complex AI project, the Security Audit Tool can be deployed to monitor dependencies continuously. When new vulnerabilities are detected, it sends detailed reports to maintainers who then apply patches accordingly.
By integrating with the Security Audit Tool through MCP, developers can automate the application of security patches across their entire project. This reduces human error and ensures that all updates are applied consistently and efficiently.
The Security Audit Tool seamlessly integrates with various MCP clients, ensuring robust security measures are maintained across different AI applications. Below is a detailed example configuration using an MCP client:
{
"mcpServers": {
"__mcp-security-audit__": {
"type": "npm",
"config": {
"command": "npx",
"args": ["-y", "mcp-security-audit"]
}
}
}
}
The Security Audit Tool is designed for compatibility across various package managers and environments. It ensures that AI applications running on different platforms can benefit from seamless security audits.
Package Manager | Support |
---|---|
npm | ✅ |
pnpm | ✅ |
yarn | ✅ |
Here’s a snippet of how you can configure the Security Audit Tool for advanced security checks:
{
"mcpServers": {
"[server-name]": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-[name]"],
"env": {
"API_KEY": "your-api-key"
}
}
}
}
This sample demonstrates setting the command and environment variables for advanced security management.
How do I integrate Security Audit Tool with an MCP client?
Can I use multiple severity levels in vulnerability reports?
What package managers are supported by Security Audit Tool?
How often does it check for new vulnerabilities?
Can Security Audit Tool be customized to meet specific compliance requirements?
Contributions to the Security Audit Tool are welcomed from both technical experts and community members. The code of conduct outlines expectations for all contributors, while the guide provides steps on how to set up the project and submit pull requests.
For more information about the Model Context Protocol and its tools, visit the official MCP documentation:
graph TD
A[AI Application] -->|MCP Client| B[MCP Protocol]
B --> C[MCP Server]
C --> D[Data Source/Tool]
style A fill:#e1f5fe
style C fill:#f3e5f5
style D fill:#e8f5e8
graph TB
S[Security Audit Tool] --> R[Remote npm Registry]
S --> D[Vulnerability Database]
R --> D
U[User Input] --> S
style S fill:#b3d1ff
style R fill:#d5eafb
style D fill:#f2f3f4
This comprehensive documentation positions the MCP Security Audit Tool as a critical component for maintaining secure and robust AI applications in an environment where continuous updates are necessary.
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