"PlatformView in Flutter" matching MCP servers:

GhostHunt is an MCP server that scans your development machine for API keys, tokens, and credentials hiding in places you forgot to check.

Connects an AI assistant to an already-running mitmweb session so it can read, search, diff, replay, and generate code from the same network flows shown in the UI.

Security scanning for MCP servers from the inside out. Provides runtime inspection, AST-based static analysis, config audit, dependency analysis, and OWASP MCP Top 10 compliance in a single MCP server.

Enables AI assistants to run Kali Linux security tools in an isolated Docker container for tasks like network scanning, port checking, and service enumeration.

Connects AI assistants to AttackForge's Self-Service API with full endpoint coverage, response size optimization, and local caching for efficient use in long conversations.

A deliberately vulnerable MCP server for practicing exploitation of tool poisoning, command injection, and path traversal. Includes fixed versions and an agent demo to reproduce the issues in a controlled environment.

Exposes every operation in the ConnectSecure OpenAPI specification as an MCP tool, enabling vulnerability management, assets, assessments, integrations, and reporting.

Enables running Kali Linux security tools and commands in a containerized environment for semi-automated penetration testing, with background job management and out-of-band interaction detection.

Enables authorized web/API security analysis as a stateful, multi-stage workflow with persistent session state, human-controlled validation, candidate versus confirmed finding tracking, and stop conditions.

Automatically generates pocsuite3-compliant POC (Proof of Concept) code from vulnerability information, with built-in safety features to prevent harmful payloads and ensure secure security testing.

MCP servers exposing security operations tools (VirusTotal, MITRE Caldera, LimaCharlie) to AI agents with defense-in-depth safety controls.

Audits MCP server configurations for security risks including capability inventory, SSRF, prompt injection, and drift detection. Works in read-only mode and can also be used as an MCP server to let AI agents audit their own attack surface.

A JavaScript reverse engineering MCP server that enables AI coding assistants to debug and analyze JavaScript code in web pages.

Enables querying CVE vulnerability data from the NIST National Vulnerability Database, including CVE lookup, product/version search via CPE filters, CVSS severity scores, and recent high-severity disclosures.

Exposes common CTF and cybersecurity tools (crypto, forensics, malware analysis, steganography, reverse engineering, pwn, OSINT) so LLMs can help solve capture-the-flag challenges in a controlled lab environment.

A stateful debugging and binary research system for LLM agents, integrating GDB + pwndbg with MCP for deterministic exploit workflows and multi-session support.

Enables security auditing of MCP servers by running them in a sandbox with fake secrets, capturing outbound traffic, and detecting tool poisoning or secret exfiltration before approval.

Enables coding agents to scan a public URL in passive or authorized mode and receive only bounded, sanitized structured findings (severity, confidence, standard, evidence, remediation) with quarantined evidence instead of raw page dumps. A second tool lets agents inspect the scanner's safety boundaries and coverage without making any network request.

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.

An intelligent layered port scanning service based on MCP protocol, designed for AI assistants and development tools to perform network security analysis with real-time feedback.