"Information or resources related to Windows" matching MCP servers:

Enables AI agents to interact natively with the Windows OS to perform file navigation, application and window control, UI automation, QA testing, and administration, security, and forensic workflows through 104 MCP tools.

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.

Enables AI-assisted Windows digital forensics analysis including parsing Windows Event Logs (EVTX), analyzing registry hives (SAM, SYSTEM, SOFTWARE), and remotely collecting artifacts via WinRM with built-in security queries and forensic reference data.

Connect AI agents like Claude, Cursor, and Gemini to historical Windows performance and privacy data gathered by the AppControl Windows app. This server enables natural language queries into CPU, GPU, and temperature history alongside system security events for deep local auditing.

Enables AI agents to inspect and manage Windows software, including listing installed and running apps, searching catalogs, installing, upgrading, uninstalling, managing startup apps, exporting backups, and checking exploited vulnerabilities. It also supports a read-only mode for safe discovery.

Enables an LLM agent to inventory Windows physical disks, partitions and logical volumes read-only, then plan and execute guarded forensic imaging to E01 format via ewftools, requiring validated plans, explicit execution flags, distinct source/destination disks and attested write blockers. Also verifies image integrity, extracts image metadata, and produces Markdown, JSON, HTML and audit-log reports.

Enables Claude to list Iceberg tables and run read-only DuckDB SQL queries, including time travel by snapshot, with per-caller token authentication and audit logging.

MCP server for Speakeasy — Windows API emulation for binary analysis. It runs a .exe in a Wine-like sandbox and returns a structured API trace.

Enables MCP clients to run Hayabusa detection scans over Windows event log (.evtx) files for forensic analysis and threat hunting.

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.

MCP server that exposes urlscan.io as tools for security investigations, with compact results optimized for context windows. Enables pivoting on indicators, searching scans, retrieving screenshots, DOM, and scan results, and submitting URLs.

MCP server for auditing infrastructure-as-code attack paths, finding multi-hop chains from public internet to sensitive resources.

Zero-knowledge password manager with MCP credential gateway. BIP-39 seed phrase recovery, deterministic passwords, policy-gated AI agent access with scope, rate limits, time windows, and step-up approval. Supports 70+ API key providers with hash-chain audit trail.

Enables LLM agents to extract, validate, and mask personally identifiable information using deterministic regular expressions, reducing token usage and hallucination risks.

Enables MCP clients to query a Twingate network in read-only fashion for users, groups, resources, remote networks, connectors, devices, and access relationships.

Enables an AI assistant to perform read-only defensive security lookups and analysis, including privacy-preserving breach checks, CVE and MITRE ATT&CK queries, log parsing, IOC defanging/refanging, hashing, and Windows event ID explanations.

A Model Context Protocol (MCP) server for Socket integration, allowing AI assistants to efficiently check dependency vulnerability scores and security information.

An MCP server that brokers discovery and interaction with AAuth resources, providing a fixed set of tools for managing and invoking operations on registered resources.

MCP server that exposes OSSEC HIDS security monitoring capabilities as tools, resources, and prompts for AI assistants.

Enables AI agents to read a user's Ring devices, doorbell presses, motion events and latest snapshots through the Ring Partner API, read-only over stdio or Streamable HTTP. It surfaces device kind, online state and end-to-end encryption status, handles pagination and pre-signed media URLs, and returns plain-language errors for missing media or unauthorized time windows.

Enables MCP clients to read system information and inspect areas, doors, inputs, outputs, and review/event logs through the Inner Range Inception REST API. It is read-only and cannot arm, disarm, unlock, toggle outputs, or change configuration.

Connects Claude Desktop to the Paylocity API to manage employee records, pay statements, and company headcount data through natural language. It includes automated data protection that redacts sensitive information like SSNs and bank account numbers before reaching the model.

MISP (Malware Information Sharing Platform) MCP server with built-in prompt injection defense via prompt-defense-audit

A Model Context Protocol server that wraps the Namecheap API, enabling AI assistants to manage domains, DNS records, SSL certificates, and account information.

Enables AI clients to manage self-hosted Pangolin Community Edition sites, resources, targets, roles, users, organizations, and other Integration API operations over stdio or local Streamable HTTP, with configurable toolsets, write confirmation previews, caching, and secret redaction.

Checks whether a product version (Windows, macOS/iOS, FortiOS, PAN-OS, RHEL, Ubuntu, Cisco, F5, Juniper and more) is FIPS 140-3 validated, in NIST's queue, or expiring, using NIST CMVP data with certificate links. Also lists certificates sunsetting soon and checks whole inventories, with optional x402 pay-per-call.

Enables forensic analysis of Windows event logs (.evtx) using Hayabusa, providing tools for timeline generation, threat hunting, and rule updates via MCP.

Enables AI assistants to validate individual or batch email addresses for deliverability, and to check account plan information, through MCP tools.

Enables local detection of protected health information in source code before it reaches LLM prompts, log statements, or analytics calls.

Detects and redacts sensitive personal information such as names, emails, phone numbers, ID numbers, and locations in text before it is processed by AI agents, using configurable mask, hash, or remove strategies.