Semgrep MCP Server

A Model Context Protocol (MCP) server that integrates Semgrep's powerful static analysis capabilities directly into your AI assistant workflow. This server enables you to perform code security scanning, detect vulnerabilities, and enforce coding standards through natural language interactions with your AI tools.

Overview

The Semgrep MCP Server bridges the gap between conversational AI and professional-grade code analysis. By exposing Semgrep's functionality through the MCP protocol, you can now analyze codebases, identify security issues, and review code quality without leaving your AI-assisted development environment.

What is Semgrep?

Semgrep is a fast, open-source static analysis tool that finds bugs and enforces code standards. It supports dozens of programming languages and comes with thousands of pre-built rules for detecting security vulnerabilities, code smells, and anti-patterns.

Features

Code Analysis

• Scan individual files or entire directories for potential issues
• Run custom Semgrep rules tailored to your project's needs
• Execute pre-configured rulesets for common security vulnerabilities
• Analyze code across multiple programming languages

Security Scanning

• Detect common security vulnerabilities like SQL injection, XSS, and authentication issues
• Identify hardcoded secrets and credentials in your codebase
• Find insecure cryptographic implementations
• Spot potential data leaks and privacy violations

Code Quality

• Enforce consistent coding patterns across your team
• Identify code duplication and maintainability issues
• Detect deprecated API usage
• Flag performance anti-patterns

Use Cases

Interactive Code Review: Ask your AI assistant to scan a file or directory and explain any findings in plain language. Get immediate feedback on security concerns or code quality issues as you develop.

Learning and Education: Use the server to understand why certain code patterns are problematic. Your AI assistant can run Semgrep analysis and provide detailed explanations of each finding.

Rapid Security Audits: Quickly assess the security posture of unfamiliar codebases by requesting targeted scans for specific vulnerability classes.

Standards Enforcement: Verify that code adheres to your organization's coding standards before committing changes.

How It Works

Through your MCP-compatible AI assistant, you can request code analysis using natural language. The server executes Semgrep commands based on your requests and returns structured results that your AI assistant can interpret and explain. This makes professional-grade static analysis accessible without memorizing command-line syntax or rule configurations.