"A search query containing special characters and SQL injection-like encoding" matching MCP servers:

An MCP server for identifying SQL injection vulnerabilities in web applications using various techniques like error-based, time-based, and union-based scanning. It supports bulk URL processing, WAF bypass strategies, and authenticated testing across multiple database systems.

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

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.

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

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.

A tool that allows penetration testing through Kali Linux commands executed via a Multi-Conversation Protocol server, supporting security testing operations like SQL injection and command execution.

MCP server that securely reviews AI-generated code for vulnerabilities such as SQL injection, command injection, and hardcoded credentials.

Provides essential security and CTF tools including hash identification, encoding/decoding, XOR bruteforce, JWT decoding, reverse shell generation, SQL injection payloads, CVE lookup, and port service identification for learning security concepts and solving challenges.

Enables LLMs to query and retrieve data from Burp Suite proxy history using SQL-like syntax, aiding security researchers in efficient analysis.

Passive website security and trust auditor that checks for security, SEO, AI surface, email, and other exposures, producing a score and remediation plan.

Agent-native "safe to ship?" security gate for AI-generated code. Uses real parsers and inter-rocedural taint analysis (JS/TS, Python, Go) to flag the classes AI coding agents get wrong — secrets, SQL injection, SS, SSRF, path traversal, command injection, weak JWT/CORS — and ranks findings by confidence. Exposes a scan tool over MCP.

Open behavioral litmus for MCP servers — grades A–F across tool-output injection, egress, sensitive-data, and adversarial-input, with reproducible, content-addressed evidence. Tools: run_litmus, verify_attestation.

Enables AI agents to scan MCP servers and AI packages for vulnerabilities, prompt injection, and supply chain attacks.

Enables Android APK reverse engineering and Flutter runtime injection through a six-step pipeline of decompile, analyze, synthesize, inject, patch, and repackage. Provides MCP tools for authorized security research and penetration testing.

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

A minimal MCP server for Shodan, enabling infrastructure reconnaissance through tools like host lookup, search, CVE lookup, and DNS queries.

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.

Provides AI agents with 37 OSINT tools and 12 data sources to perform unified reconnaissance, domain analysis, and attack surface mapping. It enables agents to query, correlate, and reason across platforms like Shodan, VirusTotal, and Censys in parallel.

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.

A security research MCP server for testing tool call safety with deterministic policies like allowlists, path boundary enforcement, SSRF prevention, output redaction, and prompt injection detection, without requiring external LLMs or API keys.