"Understanding File Usage" matching MCP servers:

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

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.

Adds security capabilities like port scanning, TLS inspection, DNS enumeration, process monitoring, secrets scanning, HTTP header auditing, and CVE checking to Claude Code and Cursor.

Enables structured HTTP request creation and local file ingestion for LLM integration with Burp Suite, reducing malformed requests and token costs.

A Model Context Protocol server for the Sliver C2 framework that exposes operator tools like listeners, implant generation, sessions, command execution, and file operations for LLM-driven adversary emulation.

Enables AI agents to generate and manage specialized bug bounty hunting workflows including reconnaissance, vulnerability testing, OSINT gathering, and file upload testing. Provides REST API endpoints for comprehensive security assessments with intelligence-driven vulnerability prioritization.

An MCP server that wraps Trivy and Gitleaks to provide file system vulnerability and secret scanning as tools for AI agents, enabling local, free security analysis.

Provides Claude with access to Shodan for IP address lookups, service discovery, and vulnerability scanning, allowing users to query information about hosts, count results, and check API usage.

Provides deterministic, 100%-file-coverage security findings by running Semgrep, gitleaks, and osv-scanner on code repositories, enabling thorough security assessment of every file.

An MCP server that gives an LLM full control over a VMware-hosted Windows VM: lifecycle, snapshots, remote execution, file transfer, and kernel debugging.

MCP server for the pwncat post-exploitation platform. It exposes 40+ tools for session management, file operations, command execution, enumeration, privilege escalation, implants, and config to AI agents.

Enables AI agents to inspect local GGUF model files for structural, template-security, companion-file, and runtime-advisory risks before deployment, returning machine-readable verdicts via seven MCP tools.

Reverse engineering against a running Windows process instead of the file on disk: memory reads, pattern and value scanning, disassembly of the code that actually executed, resolved IAT thunks, caller-chain tracing, and structure recovery. Complements the Ghidra and IDA servers rather than replacing them — correlate_addr maps a runtime address back to a module and RVA.

Enables secure static analysis of Microsoft Office documents and related file types for malicious content, integrating with systems that support the MCP protocol.

An intentionally vulnerable MCP server for security education, demonstrating flaws like missing auth, SSRF, SQLi, and file system abuse.

Enables cybersecurity research through Claude by providing tools for CVE lookup, IP geolocation, and file hash checking against VirusTotal.

This MCP server enables users to sign in with GitHub and use AI agents to scan entire repositories for leaked secrets such as API keys, passwords, and tokens, delivering a report with the exact file and line plus remediation guidance.

Enables red-team and blue-team security workflows on BlackArch Linux by wrapping local tools like nmap, gobuster, nikto, and hydra as MCP tools, with scope-gating that prevents unauthorized scanning against any target not explicitly listed in a local scope.yaml file.