"Cloning, Installing, and Building the Claude Code MCP Repository" matching MCP servers:

Enterprise-grade code intelligence server for AI assistants that analyzes codebases for due diligence, tech debt, security vulnerabilities, and code quality.

Enables a sandboxed Claude Code session to see editor selections, review proposed edits as VS Code diffs, and read workspace diagnostics through an MCP-over-WebSocket IDE bridge.

A local MCP daemon that turns an agentic coding client into a bug bounty operator, with 103 tools for offensive security testing including MITM proxy, traffic analysis, and OOB callbacks.

Checks a code repository without running it: Safe, Works and Complete scores with an A-F grade, catching leaked keys, dangerous calls, invented or lookalike packages, broken imports and missing project files. Standard-library Python; MCP tools scan, orphans and explain.

Encrypted token store for Claude Code sessions, providing MCP tools for secure secret management with macOS Keychain integration, per-project allowlists, and native dialog input.

Strict AI code reviewer powered by Groq. Finds bugs, vulnerabilities and security issues in your code. Supports analyze, compare versions, explain code, generate tests, and HTML reports.

Enables AI assistants to perform password security auditing using John the Ripper on a remote Kali system via SSH, supporting cracking, hash management, and session control.

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

MCP server that provides AI coding assistants with access to call graphs, data flows, and security analysis for multi-file vulnerability detection.

Enables auditing public GitHub repositories over MCP Streamable HTTP, including classifying URLs, cloning repositories, scanning manifests, CI workflows, and credential signals, and producing findings, file trees, summaries, and PDF reports.

A local MCP server that provides controlled repository access with policy-based file filtering, secret redaction, and audit logging for AI coding agents.

Scans GitHub repositories for security vulnerabilities by cloning, performing static analysis, secret detection, build verification, and AI-powered OWASP-aligned code review, producing a scored SECURITY.md report.

Deterministic pre-execution safety certification for autonomous AI agents. Evaluates proposed actions across scope, reversibility, and sensitivity constraints — returns Certified, Warning, Escalate, or Blocked decisions with cryptographic audit trails. 3 tools: certify_action, check_budget, get_certification_history. Built on the QAE Safety Kernel (Rust + PyO3 bindings, pip install qae-safety).

Enables Claude to run safe, read-only diagnostics against servers and websites — certificate chains and expiry, HTTP status/redirects/security headers, DNS records, email authentication (SPF, DKIM, DMARC, MTA-STS, TLS-RPT) and sitemaps. Every check returns severity-tagged findings with concrete fixes, plus a 0-100 score and A-F grade, without any ability to modify the target.

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.

Living off the Land intelligence for AI agents. GTFOBins, LOLBAS, LOOBins, LOLDrivers, LOLRMM, WADComs, LOLC2 and more — unified into a single MCP server.

Enables automated pull request review, security vulnerability analysis, and code quality improvement suggestions through any MCP client.

Enables authorized web/API security analysis as a stateful, multi-stage workflow with persistent session state, human-controlled validation, candidate versus confirmed finding tracking, and stop conditions.

Provides an OAuth 2.1 authorization and login layer plus tool registration for MCP connectors, so a connector can be added to Claude clients with only a URL and password. It also shapes tool names, descriptions and input schemas for what Claude clients actually display, returning compact results and readable error messages.

Enables AI agents to interact with Fortinet FortiManager through a minimal MCP interface using sandboxed JavaScript for querying the API spec and executing JSON-RPC calls.