"How to view GitHub repository history" matching MCP servers:

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.

This MCP server enables users to sign in with GitHub and use AI agents to scan entire repositories for leaked secrets such as API keys, passwords, and tokens, delivering a report with the exact file and line plus remediation guidance.

Enables AI clients to audit GitHub repositories for Dependabot, code scanning, and secret scanning alerts, generate conservative remediation plans, and execute verified fixes through MCP tools with fail-closed mutation controls.

Wraps Kali Linux penetration testing tools for authorized security assessments, driven by a local LLM via LM Studio.

This server enables AI agents to delegate GitHub pull request diffs for automated security auditing, returning structured vulnerability and architecture feedback while routing requests through a resilient multi-provider fallback pipeline.

A local MCP server that scans repository dependencies for known vulnerabilities (CVEs) using OSV.dev, enriches findings with NVD and CISA KEV data, and supports triage, remediation, and accepted risk management directly from an AI coding assistant.

Enables policy-first defensive security operations for MCP, providing repository and web-security analysis with controlled authorization, scoped execution, and auditability.

A Model Context Protocol (MCP) server for the Ghost Security API, providing secure access to security findings and repository data through standardized tools.

Connects Claude Code to a Latent Defense deployment to map GitHub repositories into an infrastructure graph, discover attack paths using the JEPA energy model, and triage findings from the terminal.

Enables AI agents to perform comprehensive, zero-infrastructure codebase analysis through 24 MCP tools, covering security, quality, architecture, type safety, git history, and dead code detection with high precision and local privacy.

A self-hostable, vulnerable-by-design MCP server for learning how object-level authorization bugs (BOLA/IDOR) appear in multi-tenant tools.

Scan-as-a-Service for MCP servers. Wraps the compuute-scan static security scanner with HTTP and MCP endpoints to analyze public GitHub repos for MCP-specific vulnerabilities.

Connects AI assistants to HackerOne bug bounty history, program scopes, and public disclosed reports for searching, analyzing, and generating attack briefings.

Enables MCP clients to drive IDA Pro through a stability-hardened server that hosts multiple headless idalib instances, with per-session isolation, configurable HTTP/stdio transports, and API-key authentication.

Connects AI assistants to HackerOne to pull bug bounty history, program scopes, and report details into a local SQLite database, exposing tools for searching, analyzing, and generating attack briefings using both personal and public disclosed reports.

A proof-of-concept tool that integrates AI into security operations, allowing users to perform offensive security tasks like network scanning and reconnaissance through natural language commands to GitHub Copilot.

Connects MCP clients to a Kali Linux terminal for executing security tools and commands, enabling AI-assisted penetration testing and CTF solving.

Enables CTF players to list challenges, retrieve challenge details, view the scoreboard, and submit flags.

Enables security agents to interact with the Kuroko web security testing platform through MCP, providing access to traffic history, site graph entities, findings, and scan jobs with read-only defaults and scoped, approved tools for testing operations.

AI-powered security scanner for Python projects and GitHub repositories. Detects vulnerabilities, secrets, and provides AI risk assessment.