"Prompt Enhancer MCP Search" matching MCP servers:

Unified vulnerability search MCP server for penetration testing agents, integrating 5 data sources (NVD, OSV, EPSS, CISA KEV, Exploit-DB+GitHub) and 10 MCP tools for CVE query, keyword search, batch query, EPSS scoring, KEV checking, exploit search, and comprehensive assessment with Chinese output.

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.

Security scanning, prompt injection detection, secret leak detection, and agent permission auditing for AI agent workflows.

Enables searching and analyzing CVEs and vulnerabilities from multiple sources, optimized for PR review scenarios to help developers identify the latest security issues.

Scans MCP servers for prompt-injection, tool-poisoning, and SSRF vulnerabilities using 30+ canonical rules across 5 severity tiers, with optional signed safety reports for procurement.

Security scanning for AI coding tools (Claude Code, Cursor, Windsurf) including secrets detection, MCP config vulnerabilities, agent instruction checks, threat modeling, prompt injection testing, pre-commit security checks, and dependency vulnerability scanning.

A security scanner for AI coding agents and autonomous assistants that scans code for vulnerabilities, detects hallucinated packages, blocks prompt injection, and provides LLM-powered semantic code review via MCP or CLI.

Provides local, dependency-free security scanning tools for LLM configurations, prompts, RAG sources, and more, enabling AI coding agents to detect prompt injections and other vulnerabilities without external network access.

Enables security researchers to evaluate AI system defenses against prompt injection attacks through a comprehensive set of test vectors and analysis tools.

An intentionally vulnerable case management system designed for security training that provides MCP tools for SOC analyst workflows like case handling and indicator search. It enables users to explore and demonstrate common security weaknesses such as prompt injection, SQL injection, and broken authorization in an MCP-integrated environment.

Scans MCP servers for security vulnerabilities, prompt injection, and tool poisoning, providing risk scores and protection.

Audit any MCP server for tool-poisoning, prompt-injection, and data-exfiltration risk before connecting an agent.

Protects AI agents from prompt injection attacks, jailbreak attempts, and common web vulnerabilities by screening untrusted input through semantic LLM analysis and static pattern matching.

npm audit for MCP servers. Point it at an MCP server and get a security grade (A–F) covering missing auth, SSRF surface, high-privilege tools, prompt-injection-prone tool descriptions, and leaked secrets.

Scans MCP tool descriptions for prompt injection attacks, including cross-tool instructions, privilege escalation, and data exfiltration patterns. It can be used as a CLI scanner or integrated as an MCP server itself.

MCP server that scans PyPI packages and GitHub repos for security vulnerabilities, dangerous patterns, and prompt injection vectors, providing trust scores (0-10) and side-by-side comparisons.

MCP server that detects and guards against tool poisoning and prompt injection attacks in tool descriptions and schemas. It provides risk scoring, pattern detection, safe rewriting, and audit reports with zero external API cost.

A security-focused MCP server that enables AI assistants to search PyPI packages, scan for vulnerabilities, audit dependencies, and ensure security across Python projects.

This MCP server enables security auditing for MCP configurations and AI agents, including prompt injection testing, data flow tracing, and security policy generation.

Security scanner for MCP servers — vet an MCP before you wire it into an agent. Detects prompt-injection, credential exfiltration (via taint analysis), RCE, and supply-chain risks, and catches cross-server exfil chains no single server reveals. Zero-dependency local CLI, SARIF output, CI-gateable, no account.