"Automating guard duty alert validation and reporting process" matching MCP servers:

Lets an AI assistant statically scan HTML and JavaScript landing-page code that turns Meta's fbclid URL parameter into the _fbc cookie (and hand-written _fbp cookies), flagging known ways the click ID is changed, truncated, or kept from an older ad, without executing the code or contacting Meta.

Enables AI assistants to scan Terraform and Dockerfiles for security misconfigurations, returning structured Checkov findings that can be explained in plain language.

Enables AI coding agents to generate LGPD-compliant cookie banners by detecting trackers in local projects, and to scan published sites for privacy violations, returning actionable results.

A deterministic MCP server that checks project code alignment with SPEC documents through static analysis without AI involvement.

MCP server that enforces critical business invariants on AI-generated code changes, providing deterministic, evidence-backed ALLOW/BLOCK decisions before patches are accepted.

Verify-before-act safety tools for AI coding agents, providing MCP tools to check packages, lockfiles, manifests, and CI workflows for supply chain risks.

Scans GitHub Actions workflow files for dangerous triggers, template injection, unpinned actions, excessive permissions, and secrets in shell commands before they are committed, exposing the checks as MCP tools for agents.

Enables local detection of protected health information in source code before it reaches LLM prompts, log statements, or analytics calls.

Enforces AST-based architectural guardrails on AI-generated code, blocking writes that violate maintainability, security, or complexity rules and prompting immediate refactoring.

Exposes tools that let AI coding agents browse a repo's schema snapshot of tables and columns and validate their SQL against it before running or writing it, so queries referencing invented or stale table and column names get caught and corrected up front. Provides list_tables, describe_table, search_columns, and check_sql over the same snapshot used by the CLI, hook, and CI check.

This MCP server automatically analyzes project architecture and finds similar code patterns to maintain consistency across different programming languages.

Enables local-first, fail-closed security auditing of AI coding outputs by detecting Korean PII, secrets, configuration risks, and MCP-native threats, while mediating runtime events and gating releases with actionable verdicts and next steps.

Enables AI agents to perform security audits on pull request diffs by detecting secrets, dangerous code patterns, and new dependencies, outputting structured JSON for generating PR review comments.

Enables agents to review Terraform/Bicep infrastructure diffs against Checkov or builtin regex policies, returning structured findings for Azure security issues.

Enables MCP clients to run local, read-only audits that detect risky GitHub workflows, undocumented environment variables, possible credentials, and conflicting dependency configuration before merging.

Enables MCP clients to run deterministic, read-only local repository audits for risky GitHub workflows, undocumented environment variables, possible credentials, and conflicting dependency configuration, returning structured findings without sending source code to a service.

The only Multi-LLM Compliance Engine (GPT-4o + Claude + DeepSeek). Auto-fix GDPR/LGPD risks and more 15 frameworks. code.guard.eu

Scans Python, Node.js, Java/Spring, and PHP dependency manifests for known vulnerabilities using OSV and GitHub Advisory APIs.

Enables autonomous agents to automatically repair and guard tool-call schemas through deterministic AST analysis and parameter projection validation, ensuring reliable, schema-compliant interactions in MCP-compatible environments.

Integrates multiple Android APK security analysis tools into MCP standard APIs for automated static and dynamic analysis and vulnerability detection.