"The search query 'test123'" matching MCP servers:

Query Microsoft Patch Tuesday security updates from the official MSRC API — monthly rollups, CVE/KB lookups, supersedence chains, and urgency-ranked triage enriched with EPSS scores and the CISA KEV catalog. No API keys required.

A drop-in Model Context Protocol (MCP) server that lets an AI agent query PostgreSQL — read-only, enforced at the database level, with real SQL validation, timeouts, cost limits, OAuth 2.1, and an audit trail.

MCP server for the Nextcloud Passwords app, enabling reading and managing password entries (list, search, create, update, delete) with strong security guarantees.

An MCP server that wraps the taegis-magic CLI to allow AI assistants to query Secureworks Taegis XDR for alerts, events, investigations, threat intelligence, and tenants via natural language.

MCP server for connecting to SQL Server in readonly mode. Allows any MCP client to explore the schema and run SELECT queries against a SQL Server database.

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.

A Model Context Protocol (MCP) server for accessing the CIRCL CVE SEARCH API, providing comprehensive vulnerability and security information.

An MCP server that exposes a legacy vulnerability database as tools for LLM clients, enabling security analysts to query vulnerabilities using natural language through six specialized tools for vendor lookup, vulnerability search, and risk analysis.

A local MCP server for secure database querying from Claude Code, with Apple Keychain credential storage, permission-based access control, and audit logging.

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

Provides MCP tools to query the Tenable Identity Exposure (TIE) API for security profiles, deviances, attacks, and activity timelines, with enforced read-only mode to protect credentials.

Enables AI agents to query bug-bounty programs, scopes, rules, payouts, reports, statistics, and researcher rankings through the platform's public API, with optional private-program access via a session cookie.

An MCP server for vulnerability management that provides tools for automated severity and CWE classification using NLP models. It enables AI agents to query the Vulnerability Lookup API for detailed CVE information and search for security vulnerabilities across various sources.

Enables MCP-compatible AI assistants to query encrypted personal finance data through a local-only connection, with decryption handled in the user's browser session so data never leaves their computer.

Gives AI assistants access to F6 XDR alerts, incidents, emails, files, hosts, and audit logs via query-language search, with tools for counting records, inspecting available fields and filters, and marking events.

Enables AI assistants to safely explore and query MySQL, MariaDB, PostgreSQL, SQLite and StarRocks databases through read-only tools for schema listing, table description, schema search, row sampling, query execution, and plan explanation. Enforces least-privilege accounts, engine-level read-only sessions with timeouts, parsed SQL guardrails, and column masking so runaway or unsafe queries are refused.

A Model Context Protocol (MCP) server for the YesWeHack bug bounty platform that lets Claude query private and public programs, reports, and the hacktivity feed directly from a conversation.

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.

Enables AI assistants to query CTF (Capture The Flag) cybersecurity competition data from CTFtime.org, including events, team rankings, results, and votes through the public CTFtime API.

Enables checking IP reputations and threat intelligence by querying Chaitin's global honeypot network and millions of defense nodes. Provides real-time IP profiling, malicious behavior detection, and threat alerts based on aggregated security data.

Enables AI agents to query trust scores for MCP servers and agent skills while scanning content for potential security issues. It provides direct access to the Vigile trust registry to help users evaluate the safety of third-party tools and integrations.

MCP server for AI agent identity — verify agents with Ed25519 signatures, check trust scores, sign and verify content, exchange encrypted messages. Built on the Agent Identity Protocol (AIP).

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.

Enables interaction with the AssemblyLine 4 malware analysis platform, allowing file submissions, URL analysis, and search capabilities via natural language.

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

Enables interaction with the Admina API to manage and query organizational SaaS resources including devices, user identities, service integrations, and account information across multiple services.

A Model Context Protocol (MCP) server for querying the CVE-Search API. This server provides comprehensive access to CVE-Search, browse vendor and product、get CVE per CVE-ID、get the last updated CVEs.

An MCP server for the OnSecurity API that allows Claude to query Rounds, Findings, Prerequisites, Blocks and Notifications.

Enables MCP-compatible clients to query and manage LenelS2 S2 NetBox physical access-control systems via the NBAPI, with read-only tools by default and opt-in write/destructive operations.

Enables AI assistants to safely run read-only SQL against SQLite databases through whitelist-validated queries, capped result sets, and confined file paths. It also exposes schema inspection so models can discover tables and columns before querying.