Code Security Scanner logo

Code Security Scanner

by Md. Abdul HalimGitHubWebsiteUpdated Jun 2, 2026

Scans source code for security vulnerabilities including SQL injection, XSS, insecure dependencies, and misconfigurations. Developers and security engineers integrate it via MCP to check files, directories, or repositories before commits or deployments. Supports automated analysis in CI/CD pipelines and code review processes.

security
code-scanning
vulnerabilities
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How to pay

Subscribe

Monthly billing

$10/month

Predictable monthly cost with included usage. Best for steady, high-volume traffic.

  • Unlimited tools within plan limits
  • One API key, billed once a month
  • Cancel any time

Overview

The code-security-scanner MCP server provides programmatic access to static code analysis focused on detecting security vulnerabilities. It processes code in various languages to flag risks like injection attacks, authentication flaws, and supply chain issues, returning detailed reports via the MCP protocol.

Key Capabilities

  • code-security-scanner: Analyzes uploaded code snippets, files, or repository paths for common vulnerabilities (e.g., OWASP Top 10 risks), generating JSON reports with severity levels, locations, and remediation suggestions.

No additional tools listed; core functionality centers on this scanning endpoint.

Use Cases

  1. CI/CD Integration: Trigger code-security-scanner in GitHub Actions or Jenkins to scan pull requests, blocking merges on high-severity issues.

  2. Local Development Checks: Run scans on individual files during IDE workflows to catch issues like hardcoded secrets before committing.

  3. Repository Audits: Scan entire repos for dependency vulnerabilities, outputting reports for compliance reviews.

  4. Pre-Deployment Gates: Automate scans in deployment pipelines to ensure production code meets security standards.

Who This Is For

Security engineers performing vulnerability assessments, developers incorporating security into daily coding, DevOps teams enforcing pipeline gates, and compliance officers auditing codebases. Ideal for teams using languages like JavaScript, Python, Java, or Go.