"Western Digital" matching MCP servers:

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.

Enables AI agents to protect media from AI training and detect AI-generated content using the Sidearm REST API. It provides tools for running protection algorithms, identifying copyright infringement, and managing digital media assets.

MCP server for Spazio Genesi's attestation service that enables AI agents to attest, verify, and check digital works with full privacy, as file bytes never leave the device.

Enables AI assistants to interact with the Velociraptor digital forensics and incident response platform for endpoint management and threat hunting. It supports artifact collection, VQL query execution, and automated forensic investigation workflows.

MCP server for macOS Digital Forensics and Incident Response, providing structured forensic analysis tools for triage collections including log parsing, timestamp normalization, and cross-artifact correlation.

Enables AI agents to perform digital forensics and incident response tasks by dynamically discovering and utilizing host tools for memory analysis, metadata extraction, threat detection, and file dissection.

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.

A Node.js server implementing Model Context Protocol (MCP) that enables natural language interaction with Binalyze AIR's digital forensics and incident response capabilities.

MCP server for verifying and attesting SHA-256 fingerprints of digital works via Streamable HTTP, with zero-install and privacy-preserving design.

Enables AI agents to interface with Velociraptor for digital forensics and incident response tasks, including file/memory scans, remediation actions, and artifact collection across multiple operating systems.

LLM red-team harness that scans for OWASP LLM Top 10 and MITRE ATLAS vulnerabilities, providing prioritized findings in table, JSON, SARIF, or via an MCP server for AI agents.

Provides AI-powered child safety tools to detect bullying, grooming, and unsafe content within digital conversations. It enables AI assistants to perform emotional analysis and generate age-appropriate safety action plans or incident reports.

Enables autonomous digital forensics and incident response by wrapping SIFT Workstation tools as MCP tools and orchestrating a multi-agent AI pipeline for evidence analysis and remediation planning.

Enables fast, scriptable access to Windows .evtx event logs for incident response and digital forensics. Supports filtering events by time windows, Event IDs, and keywords with field projection to reduce output size.

EU Digital Identity Wallet (eIDAS 2.0) for AI agents, compliant with MCP protocol and EU AI Act.

Enables AI assistants to perform quantum-resistant cryptographic operations using NIST-standardized algorithms including ML-KEM, ML-DSA, and SPHINCS+. Supports key generation, encryption, digital signatures, and security analysis for post-quantum cryptography research and development.

Enables autonomous digital forensics and incident response through 21 typed forensic tools covering disk, memory, registry, network, timeline, carving, and patterns, integrated with AI-driven reasoning and self-correction.

Wraps the DFIR-FENRIR v2 REST API to let Claude Code perform digital forensic and incident response tasks via natural language, including triage, evidence upload, IOC promotion, analysis, chain-of-custody management, and incident closure over stdio.

A governed MCP server for digital-forensics and incident-response (DFIR) work, exposing curated forensic tools (Volatility 3, Plaso, RegRipper, etc.) through a single FastMCP HTTP endpoint with bearer-token authentication and tamper-evident audit logging.

Enables AI agents to sign and verify actions with ML-DSA-65 digital signatures, providing tamper-proof receipts that can be verified offline without any secrets.