Which integrations are available for this server?

Integrates with CrewAI to enable code auditing as part of multi-agent workflows. Can be used as a tool within LangGraph for orchestrating code review and analysis.

How do I use CodeAudit Agent?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@CodeAudit Agent audit this Python code for security issues" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

CodeAudit Agent

by nimra-pixel

Overview Schema Related Servers Score Discussions

Python

Hybrid

🔍 CodeAudit Agent

AI-Powered Code Security, Quality & Performance Review

Paste any code → Get security vulnerabilities, quality issues, performance bottlenecks, auto-fix, and a graded report.

Works as a Streamlit web app AND as an MCP server for VS Code.

What it detects

Category	Checks
🔒 Security	OWASP Top 10 · SQL injection · XSS · hardcoded secrets · eval() · weak crypto · debug mode
✨ Quality	SOLID violations · cyclomatic complexity · naming · DRY · magic numbers · error handling
⚡ Performance	O(n²) loops · N+1 queries · memory leaks · blocking I/O · string concat in loops

Related MCP server: code-graph-mcp

Languages supported

Python · JavaScript · TypeScript · Java · C++ · C · C# · Go · Rust · PHP · Ruby · Swift · Kotlin · SQL · Bash

Architecture

Code input (Streamlit UI or VS Code via MCP)
    ↓
LangGraph orchestrator
    ↓ (parallel)
┌──────────────┬──────────────┬──────────────┐
│ Security     │ Quality      │ Performance  │
│ Agent        │ Agent        │ Agent        │
│ OWASP Top 10 │ SOLID/Clean  │ Big-O/leaks  │
└──────────────┴──────────────┴──────────────┘
    ↓
Fix Agent (auto-generates fixed code)
    ↓
Scorer (computes grade A+ → F)
    ↓
Report (.md + .json export)

Quick Start

git clone https://github.com/nimra-pixel/codeaudit.git
cd codeaudit
pip install -r requirements.txt
cp .env.example .env    # add GROQ_API_KEY
streamlit run app.py

MCP Server (for VS Code)

python mcp/server.py

Then install the VS Code extension from vscode/ folder.

Right-click any code → CodeAudit: Audit This File

MCP Tools exposed

Tool	Description
`audit_code`	Full security + quality + performance audit
`quick_security_scan`	Security only (faster)
`detect_code_language`	Detect programming language

Works with LangGraph, CrewAI, Claude Desktop, and any MCP client.

Built by

Nimra Tariq — AI Engineer & Assistant Professor, Superior University Lahore, Pakistan

Also built: MedAgent · DeepResearch · VEMA

MIT License

This server cannot be installed

license - not found

quality - not tested

maintenance

How are these scores calculated?

Maintenance

–Maintainers

–Response time

–Release cycle

–Releases (12mo)

Commit activity

Resources

GitHub Repository

Need Help?

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