"Finding MCP Servers with F Security Grades" matching MCP servers:

Enables LLM clients to safely perform file operations such as create, read, edit, delete, move, copy, and more, with every path checked against an explicit permission database managed through a desktop GUI.

Enables AI harnesses to maintain a persistent memory layer backed by a local SQLite file, providing MCP tools to add, search, deprecate, and synchronize facts without deleting history.

MCP server that provides a 216-rule, framework-aware Kotlin/JVM security analyzer, enabling AI coding agents to query real security findings while writing code.

Provides security audit primitives for MCP servers, agent tool schemas, and system prompts, along with pentest utilities like JWT inspection and HTTP diffing.

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.

Comprehensive DNS security toolkit for AI agents: 103 tools across 13 categories including DNSSEC validation, subdomain takeover detection, email security audit, and more, all running locally with no external API calls required.

A workspace of six MCP servers—grounded-cv (hybrid RAG with citations), repo-intel (GitHub repo intelligence), web-research (safe web search/extraction), ats-jobs (unified ATS job boards), outcome-ledger (durable task ledger), and coding-workflows (code review & planning)—purpose-built for agentic hiring evaluations.

An MCP server that generates security weekly reports and manages a terminology glossary for the Taiwanese cybersecurity community.

Fetches GitHub Code Scanning alerts and applies minimal local patches to fix vulnerabilities, without creating branches, commits, or PRs.

Enables file operations, npm package management, and configuration checking through MCP.

MCP servers for real-time development monitoring and interactive pair programming.

Provides 7 MCP servers with 95 tools for git, GitHub, .NET, Ollama, Rust, template sync, and Python, enabling natural-language commands to perform real development operations.

Provides AI agents with standardized security scanning capabilities for authorized assessments, including host detection, port scanning, service fingerprinting, web vulnerability scanning, CVE verification, and report generation, all with unified JSON output and strict compliance controls.

Enables file operations (PDF, Office, images, archives, media) through natural language, with tools for reading, writing, converting, and analyzing files locally.

A model context protocol server for Deepin Linux, providing system control, file management, web search, browser automation, and Git operations.

Enables hands-on exploration of common MCP security vulnerabilities through locally runnable vulnerable and fixed servers with accompanying exploits and a dashboard.

Enables geospatial operations such as geocoding, routing, map visualization, satellite imagery, and weather data through a unified MCP interface, making Earth data accessible to non-programmers.

Provides security tools (prompt injection detection, CVE lookup, version impact assessment) for MCP clients like Claude.

Integrates Checkov, Semgrep, Bandit, and ASH to provide comprehensive code security analysis for AI coding assistants.

An MCP server that enables AI assistants to analyze Android APK and iOS IPA files for security issues through natural language conversation, including permission auditing, secret detection, and SDK enumeration.