"A guide to performing detailed research" matching MCP servers:

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

This MCP server provides secure access to databases for AI agents, enforcing authentication, authorization, human approval, logging, and notifications to prevent dangerous actions.

An MCP server that sends plain-text Gmail messages only to a predefined allowlist, using generated recipient IDs instead of email addresses to enforce security.

Provides agent certification and trust verification tools for AI agents, enabling certification checks, trust score calculations, audit ticket issuance, and emergency kill switch activation through the A-SOC trust network.

A local-first MCP attack kit for authorized security research and red teaming, demonstrating exfiltration, agent manipulation, and other abuse patterns via pluggable cases.

Enables AI agents to manage VPN infrastructure through provisioning, lifecycle control, traffic routing, and health monitoring.

Connects AI assistants to the Vectra AI security platform to enable intelligent analysis of threat detection data and automated incident response workflows. It allows users to investigate threats, take response actions, and generate security reports using natural language.

Connects AI assistants to the Vectra AI On-Premise security platform for natural language threat detection, investigation, and automated incident response workflows.

Aziel Runtime is a node-meshed MCP software orchestration suite for digital forensics, auditing, provenance, research, intelligence-support, and secure agent workflows, with a single gated execution path, compartmentalized engines, verifiable receipts, temporal integrity, and explicit capability refusal. It is not merely an API aggregator or generic tool router.

A robust Model Control Protocol server that enables AI agents to access real-time cyber threat intelligence and detailed information about vulnerabilities, threat actors, malware, and other cyber-security entities.

Enables AI assistants to search and analyze vulnerabilities and exploits from multiple intelligence sources, including NVD, CISA KEV, ExploitDB, Metasploit, and more, with tools for CVE research, exploit analysis, and report generation.

AI-powered threat verification across 6 channels: phone numbers, URLs, text messages, emails, documents, and QR codes. Analyzes threats against 10M+ intelligence records from FTC, FCC, URLhaus, ThreatFox, and community reports, returning risk scores, verdicts, and detailed signals.

A domain security and privacy checker MCP server that runs locally, performing DNS, TLS, HTTP, and RDAP lookups to generate a scored report covering certificates, email authentication, DNS, and web security headers.

An MCP server that enables AI models to query FOFA, 360 Quake, and Hunter cyberspace mapping platforms for asset discovery and security research. It supports natural language parameter configuration and provides comprehensive search tools for retrieving IP, port, and domain data.

Automatically scans project dependencies (npm, Composer) for security vulnerabilities using the OSV.dev database, providing real-time alerts and detailed remediation guidance directly in your IDE.

A Model Context Protocol (MCP) server for interacting with the Intigriti bug bounty platform's Researcher API. It enables AI assistants to manage bug bounty programs, submissions, and research workflow.

MCP server for accessing URLhaus malicious URL database from abuse.ch - provides threat intelligence for cybersecurity research

A research harness for measuring whether MCP clients preserve informed consent when tool definitions change after approval.

A security scanner that evaluates installed MCP servers for vulnerabilities by aggregating findings from 16 scanning engines into detailed trust scores. It enables users to scan their local AI agent configurations or specific repository URLs for potential security risks.

Enables comprehensive threat analysis for Indicators of Compromise (IoCs) including IP addresses, file hashes, domains, and URLs. It provides detailed reputation scores, security vendor evaluations, and network metadata to facilitate security assessments and risk detection.