Scans code snippets and directories for security vulnerabilities using Semgrep within an LLM environment.
Semgrep offers a Model Context Protocol (MCP) server, enabling the integration of Semgrep's static analysis capabilities within Large Language Models (LLMs) and AI Agents. Through this server, users can scan code for vulnerabilities, create custom Semgrep rules, analyze scan results, and integrate with tools like Cursor for real-time feedback. It allows developers to leverage Semgrep's security scanning directly from their LLM-powered workflows.
Key Features
01Scan code snippets and directories for vulnerabilities.
02Filter results by severity, rule ID, or file path.
03Analyze scan results, including severity counts and affected files.
0412 GitHub stars
05Create custom Semgrep rules for tailored security checks.
06Export scan results in JSON, SARIF, and text formats.
Use Cases
01Automating vulnerability analysis within AI-powered coding assistants.
02Integrating security scanning into LLM-driven code generation workflows.
03Customizing security rules to fit specific project requirements.
