"MCP server for saving context and ensuring project consistency" matching MCP servers:

MCP server providing diagnostic tools to analyze software architecture, security, REST API compliance, and dependencies for multiple programming languages. Enables AI agents to run scans and audits on codebases.

Two-way Burp Suite MCP bridge enabling AI agents to capture traffic, analyze endpoints, queue scans, and send findings back to Burp.

Enables Claude Code to leverage OpenAI models for expert code review, deep architecture analysis, and security audits, with automatic markdown report generation.

GDB Enhanced Features MCP server for remote debugging and CTF exploitation with 41 specialized tools including ROP search, format-string detection, and memory patching.

Free deterministic security scan of a public git repository (GitHub, GitLab, Codeberg, Bitbucket): vulnerable dependencies via OSV.dev, secret patterns, and config lint, returned as structured JSON. Tools: scan_repository(url), audit_pricing(). Runs locally over stdio (python3 web/mcp_stdio.py or the Dockerfile) and is also hosted at https://project-feldspar.com/mcp. MIT licence, stdlib-only. Buil

Enables LLMs to perform automated penetration testing and Active Directory reconnaissance through Mythic, with tools for executing PowerShell, AD recon, domain user enumeration, and Kerberoasting.

Enables security analysts to carry structured investigation state across sessions by storing typed observations, hypotheses, tasks, evidence and versioned decisions in a local SQLite graph with full-text search. It also enforces authorized scope and request controls, redacted and content-hashed evidence, duplicate-test signatures and validation gates that leave findings in draft until reproducibly confirmed, then produces technical and executive reports for Antigravity, Codex and other stdio MCP clients.

Enables autonomous AI agents and penetration testers to conduct authorized security audits with persistent cross-session memory, zero-trust secret scrubbing, dynamic OWASP/ASVS checklists, and hallucination-free exploit PoC generation from captured traffic.

Enables users to run synthetic support-agent evaluations, preserve and inspect traces, score results deterministically, inject failures, and enforce release review gates through MCP tools, resources, and prompts.

Connects AI assistants to a Kali Linux terminal for executing security tools, managing interactive shell sessions, and performing penetration testing, CTF challenges, and security research tasks.

MCP server that guides LLM security reviews step-by-step, tracking progress and ensuring all assigned source code is read before completing each plan step.

A Model Context Protocol (MCP) server that detects cryptographic algorithms, identifies obfuscation, reconstructs standalone implementations, generates SDKs, and bypasses anti-debugging.

A Model Context Protocol (MCP) server for interacting with the Intigriti bug bounty platform's Researcher API. It enables AI assistants to manage bug bounty programs, submissions, and research workflow.

Enables AI models to search and retrieve offline security knowledge from over 20 curated sources including HackTricks, PayloadsAllTheThings, and OWASP guides, via the Model Context Protocol.

MCP server for DefectDojo vulnerability management, exposing 24 tools for managing products, engagements, tests, findings, scan imports, and finding lifecycle through the Model Context Protocol.

Enables MCP clients to work with DefAudit, supporting project and scan listing, starting scans, retrieving results, and marking or unmarking false positives.

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.

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 AI agents to interact with a local Metasploit Framework instance through the Model Context Protocol for AI-driven red teaming, exposing RPC calls, persistent consoles, native process execution, interactive terminals, and local file access through 23 tools.

Enables AI applications to invoke 58 popular Kali Linux security tools for network scanning, web exploitation, password attacks, reconnaissance, Metasploit, evasion, forensics, post-exploitation, and miscellaneous tasks through the Model Context Protocol.

A Model Context Protocol (MCP) server for interacting with the DNSDumpster API, enabling AI assistants to perform detailed DNS reconnaissance through natural language requests.

Enables AI assistants to perform deep security audits of Java/Spring projects by searching for dangerous sink methods across built-in vulnerability profiles, inventorying project structure and dependency versions, and assessing the real exploitability of vulnerable components by layer. Results are grouped and tagged by external exposure so audits stay focused without overloading context.

A Model Context Protocol server that wraps the Appknox CLI for mobile application security testing.

A Model Context Protocol (MCP) server for the Ghost Security API, providing secure access to security findings and repository data through standardized tools.

A Model Context Protocol (MCP) server that provides comprehensive network scanning capabilities using nmap.

A Model Context Protocol server that enables AI assistants to perform network packet analysis, capture, and security operations on a remote machine via Wireshark/tshark.

A Model Context Protocol (MCP) server for Kerberos abuse operations using Rubeus on Windows or Impacket on Linux/macOS.

A Model Context Protocol (MCP) server that provides AI assistants with access to the Rapid7 InsightAppSec API for application security scanning, vulnerability management, and reporting.

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 LLMs to query live decompiled Android app context through a JADX plugin, supporting class, method, and field inspection; source and smali retrieval; manifest parsing; vulnerability discovery; and reverse engineering.