"How to Retrieve Console Logs" matching MCP servers:

Enables AI agents to register domains, prove ownership, queue security scans (headers, TLS, DNS, ports, tech-fingerprint), and retrieve findings with severity and CVE details via the Eleion Scanner API.

Enables AI models to search and retrieve offline security knowledge from over 20 curated sources including HackTricks, PayloadsAllTheThings, and OWASP guides, via the Model Context Protocol.

Enables interaction with the APVISO AI-powered penetration testing platform to manage targets, initiate scans, and retrieve vulnerability findings. It allows developers to integrate security testing workflows directly into MCP-compatible tools like Claude Code and Cursor.

Enables users to retrieve and display CVE vulnerability information from the National Vulnerability Database (NVD) with support for keyword search and detailed lookup.

An MCP server that provides AI assistants with real-time access to Windows internals including processes, kernel traces, event logs, services, drivers, and PE analysis.

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

Wraps the ScanMalware.com API to enable phishing triage, malware scanning, and certificate inspection through natural language, allowing users to submit scans, retrieve results, and analyze threats via MCP tools.

Passive external attack-surface mapping server that discovers subdomains, DNS records, TLS posture, HTTP headers, and registration data via public sources like CT logs, Shodan, and RDAP/WHOIS, enabling security reconnaissance without active scanning.

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.

Enables AI clients to submit files, hashes, and URLs for malware analysis, retrieve results, search across AssemblyLine indices, and triage alerts, all through the Model Context Protocol.

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

Enables autonomous AI agents and penetration testers to conduct authorized security audits with persistent cross-session memory, zero-trust secret scrubbing, dynamic OWASP/ASVS checklists, and hallucination-free exploit PoC generation from captured traffic.

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

Enables certificate transparency log search via crt.sh, allowing users to query SSL/TLS certificates, enumerate subdomains, and retrieve certificate details with no API key required.

A stateful debugging and binary research system for LLM agents, integrating GDB + pwndbg with MCP for deterministic exploit workflows and multi-session support.

MCP server for the Overlord C2 framework that gives AI agents 66+ tools for management, monitoring, debugging, and plugin development across clients, plugins, builds, users, audit logs, database, configurations, proxies, and notifications.

An MCP server that enables LLMs to query and reason over Active Directory attack graphs collected by BloodHound, providing attack paths, blast radius analysis, choke points, and defender remediation advice.

A Model Context Protocol server that enables AI assistants to search and retrieve information about security exploits and vulnerabilities from the Exploit Database, enhancing cybersecurity research capabilities.

Fully automated MCP server built to communicate with JADX-AI-MCP Plugin to analyze Android APKs using LLMs like Claude — uncover vulnerabilities, parse manifests, and reverse engineer effortlessly.

An MCP server that measures how effectively hashing tool definitions detects unauthorized changes, evaluating 20 policies across field sets and canonicalization methods. It demonstrates that approval-dialog-based pins miss most attacks, with structural/semantic normalization being free but text folding trading detection for fewer false alarms.