"The most widely used models" matching MCP servers:

Securedact MCP is a local-first privacy layer for MCP-compatible AI workflows. It detects, reviews, redacts, and audits sensitive information before approved sanitized content is used downstream.

Inspects documents for tampering, ineffective redactions, and text aimed at language models before they enter an agent's context, and compares documents to confirm whether they are unchanged.

Exposes user, membership, and role administration tools via MCP, acting as a thin passthrough to a coordinator API with RBAC enforced by the coordinator using caller bearer tokens.

An AI-driven Android dynamic analysis tool that enables AI models to perform automated reverse engineering by controlling Frida. It provides capabilities to inject scripts, manage application processes, and analyze real-time execution data through the Model Context Protocol.

A security-hardened Postgres MCP server that enables LLM agents to run safe, read-only SQL queries with enforcement via SQL-AST inspection and read-only transactions.

MCP server for AI agent identity — verify agents with Ed25519 signatures, check trust scores, sign and verify content, exchange encrypted messages. Built on the Agent Identity Protocol (AIP).

Enables AI assistants to perform password security auditing using John the Ripper on a remote Kali system via SSH, supporting cracking, hash management, and session control.

Lets AI coding agents generate and manage threat models, controls, assumptions, compliance mapping, and evidence programmatically via the Mipiti security posture platform.

Enables AI assistants to scan project dependencies and Infrastructure as Code files for security vulnerabilities and misconfigurations. It also provides automated fixing capabilities to remediate identified security issues.

Enables users to manage OpenFGA authorization models, stores, and relationship tuples through natural language. It supports permission checks, batch tuple operations, and the deployment of authorization models across different environments.

Living off the Land intelligence for AI agents. GTFOBins, LOLBAS, LOOBins, LOLDrivers, LOLRMM, WADComs, LOLC2 and more — unified into a single MCP server.

A Model Context Protocol server that retrieves CVE information from the National Vulnerability Database, allowing AI models to access up-to-date vulnerability data.

Enables detection of AI-generated content from ChatGPT, GPT-4, and Gemini models through the BACH AI Content Detector API.

An implementation of the Model Context Protocol server that enables AI models to communicate with Edge Security Acceleration (ESA) services, allowing models to manage routines, deployments, routes, records, and sites through standardized protocols.

MCP server for the Tenable Identity Exposure API, providing 131 tools for complete API coverage with multi-tenant support and granular security controls.

Enterprise-grade code intelligence server for AI assistants that analyzes codebases for due diligence, tech debt, security vulnerabilities, and code quality.

MCP server for SDC governance validation, exposing tools that agents call to validate governance content in XML instances against SDC data models and return XACML decisions (PERMIT, DENY, INDETERMINATE).

A Model Context Protocol server that enables AI agents to interact with Netwrix Access Analyzer through standardized interfaces, allowing visibility into data access risks, data classification, and user access patterns to help organizations better secure their most sensitive data.

Safety middleware for AI computer use agents that monitors, enforces policies, and provides guardrails to enable safe desktop interaction.

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.