"Collecting and Analyzing Server-Side Errors Based on MySQL, Redis, and Elasticsearch" matching MCP servers:

Enables users to run synthetic support-agent evaluations, preserve and inspect traces, score results deterministically, inject failures, and enforce release review gates through MCP tools, resources, and prompts.

An MCP Server that enables users to interact with Google's On-Demand Scanning API (v1beta1) through natural language, likely providing capabilities for vulnerability scanning and security analysis of containers and artifacts.

Exposes AI-augmented network reconnaissance and evasion capabilities as callable FastMCP tools, enabling natural language orchestration of host discovery, service fingerprinting, CVE mapping, and attack chain synthesis.

Enables AI agents to perform passive security scans on domains, checking email spoofing (DMARC/SPF/DKIM), TLS weaknesses, security headers, exposed files, and subdomain-takeover risk without needing an API key.

Enables bug bounty hunters to browse programs, inspect scope details, track scope changes over time, and receive personalized, recency-boosted program recommendations based on their skill profile.

Lets MCP clients browse bug bounty programmes, manage reports, and triage issues on BugSecure with user-approved OAuth permissions, including read-only mode.

Enables AI assistants and CLI users to run automated bytecode security audits of EVM smart contracts on Base Mainnet, detecting risky opcodes and interface signatures, scoring risk, and unlocking verified results via x402 USDC micropayments.

A scope-aware bug-bounty & reconnaissance MCP server that works out of the box on the Python standard library and augments itself with your favourite CLI tools when they're present.

Enables searching and analyzing CVEs and vulnerabilities from multiple sources, optimized for PR review scenarios to help developers identify the latest security issues.

Enables AI assistants to run Offensive360 SAST scans on local codebases, returning security findings with file/line, severity, and fixes, plus scan status tracking.

Security scanning for MCP servers from the inside out. Provides runtime inspection, AST-based static analysis, config audit, dependency analysis, and OWASP MCP Top 10 compliance in a single MCP server.

Enables AI assistants to perform reverse engineering and debugging of Windows executables through x64dbg, with tools for loading executables, controlling execution, analyzing memory and security, and generating reports.

A Model Context Protocol (MCP) server for Gobuster that enables AI assistants to perform directory/file, DNS, virtual host, S3 bucket, and TFTP enumeration on a remote Kali Linux host via SSH.

Enables dynamic management and execution of proxy chains on a remote Linux host via SSH, allowing AI assistants to route network traffic through proxies for privacy and security testing.

A universal digital fingerprinting MCP server that combines 103 techniques across TCP, TLS, SSH, HTTP, DNS, and more into a single interface for AI agents, enabling full-spectrum fingerprinting on demand.

Enables AI assistants to perform Active Directory reconnaissance by enumerating users, groups, computers, trusts, and password policies using ldapdomaindump on a remote Kali host via SSH.

Enables AI assistants to perform authorized WiFi security assessments, including network scanning, handshake capture, and password cracking, by executing aircrack-ng commands on a remote Kali Linux system via SSH.

Enables AI assistants to perform domain reconnaissance using theHarvester OSINT tool, including email harvesting, subdomain discovery, DNS brute force, and Shodan integration, via SSH on a Kali Linux host.

Enables AI assistants to perform web content discovery scans using feroxbuster on a remote system via SSH, with support for recursive scanning, filtering, and background execution.

Enables AI agents to interact with the FlagForge REST API, allowing them to search solved CTF challenges, work on live event challenges, record evidence, submit flag candidates, and write markdown writeups.

An MCP server for identifying SQL injection vulnerabilities in web applications using various techniques like error-based, time-based, and union-based scanning. It supports bulk URL processing, WAF bypass strategies, and authenticated testing across multiple database systems.

Enables security inspection of MCP tool metadata by analyzing tool names, descriptions, and input schemas, and returning SAFE, REVIEW, or HIGH RISK verdicts through the analyze_tools tool.

Enables AI assistants to execute security testing tools on a Kali Linux machine over SSH, including reconnaissance, web app scanning, and static/dynamic analysis.

Enables LLMs to conduct passive attack-surface research by collecting public information, referencing saved reports, and verifying evidence through MCP tools.

MCP server providing diagnostic tools to analyze software architecture, security, REST API compliance, and dependencies for multiple programming languages. Enables AI agents to run scans and audits on codebases.

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.

A Model Context Protocol server that enables AI assistants to perform network packet analysis, capture, and security operations on a remote machine via Wireshark/tshark.

A Model Context Protocol (MCP) server for Kerberos abuse operations using Rubeus on Windows or Impacket on Linux/macOS.

Enables agents to probe URLs and classify bot-wall responses with vendor and signal evidence, perform offline classification, scan for exposed key-like material, and run owner-side access audits through stdio tools.

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