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    Domain security reconnaissance for AI agents — 13 tools (DNS+DNSSEC, SSL/TLS, HTTP security headers, SPF/DKIM/DMARC email auth, port scan, ASN, RDAP/WHOIS) plus a one-shot security_scan returning a 0–100 Health Score (A–F). Free, no API key.
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    MIT
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    Tamper-evident audit logging for AI decisions. Three tools (record_decision, verify_decision, list_decisions) write to a regulator-grade ledger built on AWS S3 Object Lock with 7-year retention. Designed for EU AI Act Article 12 and FCA SS1/23 evidence requirements. Try zero-config: npx audit-ledger-mcp boots in sandbox mode against a public hosted tenant.
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    Apache 2.0
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    A Node.js MCP server that enables Claude Desktop to securely run read-only SQL queries against MariaDB/MySQL and Microsoft SQL Server databases using OAuth 2.0 PKCE authentication. It provides short-lived, per-user credentials that never touch disk, allowing secure database access through natural language interactions.
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    5
    MIT
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    An MCP server that exposes a 216-rule Kotlin/JVM security analyzer to AI coding agents, enabling real-time security scanning and secure pattern retrieval for frameworks like Spring and Ktor.
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    3
    MIT
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    Production-ready MCP server for Tailscale management with 48 tools across 9 domains: Devices, DNS/Split DNS, ACL policies, Auth Keys, Users, Webhooks, Posture Integrations, Tailnet Settings, and Diagnostics. Supports stdio and SSE transport with Bearer token authentication. Built with TypeScript strict mode, Zod validation, and zero shell execution. AGPL-3.0 + Commercial dual-licensed.
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    AGPL 3.0
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    CodeSafer is an MCP server that scans AI-generated code for 9 categories of hidden security threats — including invisible Unicode, Trojan Source, homoglyphs, and rules file backdoors — using static analysis plus CodeBERT deep learning. Runs locally, free tier available.
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    MIT
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    Secrets vault for Claude Code. Encrypt API keys, tokens and passwords with AES-256. Full audit logs, MCP access rules, and zero-knowledge mode. Secrets never appear in chat.
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    MIT
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    A security filter that blocks dangerous code patterns by comparing normalized structural syntax trees against a blacklist of known threats using vector embeddings. It acts as a gatekeeper to prevent malicious code execution by identifying dangerous structures regardless of specific identifiers or literals.
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    MIT
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    Enables AI assistants to interact with Rhombus physical security systems, providing access to smart cameras, access control, IoT sensors, and alarm monitoring through the Rhombus API.
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    MIT
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    Security gateway that wraps any MCP server with per-tool policies, approval gates, and optional Ed25519-signed decision receipts. Shadow mode logs every tool call without blocking; enforce mode applies block, rate-limit, and minimum-tier rules. Receipts are independently verifiable offline with no accounts needed.
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    MIT
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    Enables comprehensive security vulnerability scanning and code quality analysis for Python applications. Provides detailed reports with scoring, actionable suggestions, and comparison tracking specifically designed for backend developers working with frameworks like Django, Flask, and FastAPI.
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    IMCP - Insecure Model Context Protocol The DVWA for AI Security! Welcome to IMCP – a deliberately vulnerable framework that exposes 16 critical security weaknesses in AI/ML systems. Whether you're a security researcher, developer, or educator, IMCP is your playground for hands-on learning about real
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    JavaScript
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    An MCP server that connects AI assistants to the ThreatLocker Portal API with 44 tools for managing computers, approvals, action logs, tags, maintenance mode, and more across single-org and multi-tenant setups.
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    MIT