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

Query food inspection grades and violations for Charlotte/Mecklenburg County, NC, with tools for searching establishments, getting details, finding nearby, and score distributions.

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 models to store lived queries, source text, embeddings, fractal paths, capsules, and chained digests, then recall them through REST and MCP with a signed append-only continuity record.

Zero-key security toolkit for your AI assistant: grade any website's security A+ to F, check if CVEs are actively exploited via CISA KEV and EPSS, and get MITRE ATT&CK defenses explained in plain English. No API keys, no signup.

Security auditor for MCP servers that enumerates tools, resources, and prompts, scans for injection patterns, classifies risk levels, and produces a scored report (0-100, grades A-F).

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.

Enables deterministic calculation of ENMG F-wave chronodispersion, persistence, and proximal motor nerve root conduction integrity, with native JSON-RPC tool integration for LLMs and autonomous agents.

Read-only CVE intelligence, remediation playbooks, and agent setup guides. Not a scanner.

Enables automated review and analysis of network security controls (AWS Security Groups, Network ACLs) using natural language queries. Supports NSC configuration reviews, network segmentation testing, and identifying security gaps through conversational LLM interaction.

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

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.

AI-powered VMware NSX DFW microsegmentation and security. Manage distributed firewall policies, security groups, Traceflow, and IDPS with 20 MCP tools.

14 atomic MCP tools for AppSec and AI Security engineers: source/schema/prompt audit primitives, JWT inspect, HTTP diff, pentest atoms (default creds, GraphQL introspect, phpggc, interactsh OOB), and a defensive helpers library that fixes the bugs the detectors flag. SARIF output, PyPI Trusted Publishing with Sigstore provenance.

Enables searching and bidirectional mapping of 1,451 security controls across 262 SCF-mapped frameworks, including ISO 27001, NIST CSF, DORA, and many others, through natural language queries.

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

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

Enables interaction with Picus Security's Breach & Attack Simulation API, allowing natural language queries for simulations, threat library searches, and agent management through MCP-compatible clients.

An MCP server that enables LLMs to automate browser interactions using Playwright to fetch real-time Israeli weather data.

Enables comprehensive vulnerability scanning using Nuclei scanner with support for single targets, network ranges, and cluster-wide security assessments with customizable severity levels and automated scheduling.

Lets an MCP client triage a local project for leaked secrets, missing Supabase row-level security, unauthenticated data-changing API routes, insecure browser-exposed environment variables, and other common web-app security mistakes without network access. It returns severity-ordered findings or a plain-English go/no-go summary with what to fix first.

Unified MCP server integrating NIST and OWASP security frameworks with live vulnerability data, enabling security searches, compliance mapping, threat modeling, and checklist generation.

Enables AI agents and developers to audit any URL or domain for seven critical OWASP HTTP security headers, returning an A+ to F grade plus actionable Nginx, Apache, Caddy, and Cloudflare remediation snippets. It also probes /.well-known/security.txt and /security.txt to surface responsible vulnerability disclosure contacts, bug bounty scopes, and PGP keys.

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.

Zero-trust safety & settlement rail for autonomous AI agents. Sub-10ms deterministic guardrails, secret leak defense, bounded wallet controls, and on-chain Proof-of-Safety attestations via x402.

Enables AI agents to intercept, inspect, modify, and replay HTTP, WebSocket, TCP, and UDP traffic through mitmproxy, with controlled security constraints and process isolation.

Standalone MCP server exposing only the security-classified tools from Shade Browser, enabling Brave CDP browser automation across 20 isolated profile slots. Built on FastMCP and Playwright Python.

Implements a secure MCP server with API Key and JWT authentication, providing tools like echo, login, secure_action, and admin_action. Includes MCP Inspector integration for testing and debugging.

Enables AI-assisted vulnerability management by connecting Claude Desktop to local Nessus and Tenable Vulnerability Management, allowing natural-language queries for scan management, threat intelligence enrichment, and prioritized remediation planning.

A Model Context Protocol server that connects AI assistants like Claude to AWS security services, allowing them to autonomously query, inspect, and analyze AWS infrastructure for security issues and misconfigurations.

Security Scanner AI - MCP server providing AI-powered tools and automation by MEOK AI Labs