MCP Code Sanitizer

mcp-code-sanitizer

Strict AI-powered code reviewer for Claude Desktop, Cursor, VS Code, and Claude Code CLI.

Finds bugs, vulnerabilities, and security issues — powered by Groq (free API).

Claude / Cursor / VS Code  ──MCP──►  code-sanitizer  ──REST──►  Groq API

(server.py) (llama-3.3-70b)

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Features

Example output

{

"summary": "Critical SQL injection and secret exposed in logs", "score": 23, "issues": [ { "severity": "critical", "line": 2, "title": "SQL Injection", "description": "f-string directly interpolates user_id into query", "fix": "cursor.execute('SELECT * FROM users WHERE id = %s', (user_id,))" } ], "warnings": [{"title": "No exception handling", "description": "..."}], "suggestions": ["Consider using an ORM instead of raw SQL"] }

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Installation

Prerequisite: Get a free Groq API key at console.groq.com/keys — no credit card required.

Claude Code CLI

claude mcp add code-sanitizer -e GROQ_API_KEY=gsk_your_key -- uvx mcp-code-sanitizer

Claude Desktop

{

"mcpServers": { "code-sanitizer": { "command": "uvx", "args": ["mcp-code-sanitizer"], "env": { "GROQ_API_KEY": "gsk_your_key_here" } } } }

Cursor

Create .cursor/mcp.json in your project (or ~/.cursor/mcp.json globally):

{

"mcpServers": { "code-sanitizer": { "command": "uvx", "args": ["mcp-code-sanitizer"], "env": { "GROQ_API_KEY": "gsk_your_key_here" } } } }

VS Code

Requires VS Code 1.99+ with GitHub Copilot. Create .vscode/mcp.json in your project:

{

"servers": { "code-sanitizer": { "command": "uvx", "args": ["mcp-code-sanitizer"], "env": { "GROQ_API_KEY": "gsk_your_key_here" } } } }

Or add globally via Ctrl+Shift+P → "MCP: Add Server".

Don't have `uvx`? Install it with pip install uv, then use the commands above.

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Manual install (alternative)

If you prefer cloning the repo:

git clone https://github.com/notasandy/mcp-code-sanitizer

cd mcp-code-sanitizer pip install -r requirements.txt cp .env.example .env # add your GROQ_API_KEY python server.py

Then point the client config to:

{

"command": "python", "args": ["/full/path/to/server.py"], "env": { "GROQ_API_KEY": "gsk_your_key_here" } }

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GitHub Action — automatic PR review

Add AI code review to any repository in 5 lines. The action posts a structured comment on every PR with score, issues, and fix suggestions.

# .github/workflows/ai-review.yml

name: AI Code Review on: pull_request: types: [opened, synchronize]

permissions: contents: read pull-requests: write

jobs: review: runs-on: ubuntu-latest steps:

• uses: notasandy/mcp-code-sanitizer@v1 with: groq_api_key: ${{ secrets.GROQ_API_KEY }}

Add GROQ_API_KEY to your repository secrets → Settings → Secrets → Actions.

The action automatically:

• Reviews only changed files (up to 10 per PR)
• Posts a score and structured issue list as a PR comment
• Fails the check if critical issues are found

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Usage in chat

After connecting, just write naturally:

Review this code for vulnerabilities:

def get_user(user_id): query = f"SELECT * FROM users WHERE id = {user_id}" return db.execute(query)

Or call tools explicitly:

analyze_file /path/to/my_script.py

generate_tests for this function: ... compare_code — before vs after refactor, did it get better? generate_report and save to /tmp/report.html

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Architecture

mcp-code-sanitizer/

├── server.py # FastMCP entry point ├── config.py # Constants — keys, limits, extension map ├── groq_client.py # Async Groq client with auto-retry on 429 ├── cache.py # In-memory LRU cache with TTL ├── prompts.py # System prompts for all tools └── tools/ ├── analyze.py # analyze_code ├── compare.py # compare_code ├── explain.py # explain_code ├── tests.py # generate_tests ├── file_tool.py # analyze_file — chunking + parallel analysis ├── cache_tool.py # cache_info └── report.py # generate_report — HTML output

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Configuration

All settings via .env or environment variables:

Available Groq models

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Contributing

PRs and Issues are welcome. Most wanted:

• Support for other LLM providers (OpenAI, Anthropic)
• New tools: dependency audit, complexity score, docstring generator
• Prompt improvements and new language support

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License

MIT — do whatever you want. A star would be appreciated.

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Links

• PyPI
• Groq Console — free API key
• FastMCP docs
• MCP specification
• Smithery
• MCP Registry