"web sear" matching MCP servers:

An MCP server that lets an AI agent probe a live URL and confirm whether sensitive files (e.g., .git, .env, source maps) are genuinely served by fetching and validating the content, avoiding false positives.

Enables LLM agents to fetch web pages safely, blocking SSRF, downloads, hidden text, and prompt-injection attacks before returning cleaned content.

A Model Context Protocol server that exposes a hospital-oriented web application firewall engine for AI assistants. It enables request inspection against curated security rules and provides tools for rule management and security testing.

Enables live website health checks including TLS, HTTPS, and security headers, returning an A-F grade with specific fixes.

A Node.js-based frontend security audit tool that performs comprehensive dependency security audits for both local projects and remote repositories. Generates detailed Markdown reports with vulnerability detection, risk assessment, and fix recommendations.

Provides seamless integration with Fastly's Next-Gen Web Application Firewall API, enabling AI assistants to manage web application security through natural language interactions.

Connects AI coding assistants to Snyk API & Web for onboarding scan targets, configuring authentication, running DAST scans, and triaging findings through natural language.

Provides AI coding agents with direct access to secrets management (get, set, list, delete secrets, and list environments) through the Model Context Protocol, enabling secure secret operations during development.

Turns any web API into a governed, agent-ready MCP server with lockfile-based approval, fail-closed enforcement, and full audit trail.

23 pay-per-call web analysis APIs as MCP tools. Security audits, tech stack detection, email verification, SEO analysis, SSL checks, performance monitoring. Supports x402 and Stripe MPP payments.

Enables users to search the on-chain index of 378,000+ ERC-8004 agents and read Cybercentry verification results spanning token, code, media, web, and wallet dimensions.

Enables authorized web/API security analysis as a stateful, multi-stage workflow with persistent session state, human-controlled validation, candidate versus confirmed finding tracking, and stop conditions.

Enables autonomous AI agents to operate safely by intercepting risky tool calls, evaluating them against policy, and suspending them for human approval via Slack, Telegram, or a web dashboard.

Enables an AI agent to perform read-only inspection of Palo Alto Networks Panorama and PAN-OS firewalls for monitoring and troubleshooting, including inventory, health, network, logs, and policy queries. It communicates via the PAN-OS XML API over HTTPS and does not allow configuration changes.

Real-time audit and approval system for Claude Code tool calls, enabling monitoring and control of AI agent actions with a web dashboard.

Enables comprehensive security testing and penetration testing through natural language conversations with 92+ tools for reconnaissance, vulnerability assessment, web application testing, OSINT, and reporting. Designed for authorized bug bounty hunting and security assessments.

Enables multi-user, per-namespace storage of AES-256-GCM-encrypted credentials (SSH, web, API, DB) managed through a web console with TOTP 2FA, and lets AI clients save, list, retrieve, or server-side invoke those secrets over a remote Streamable-HTTP endpoint without ever exposing the values in chat.

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.

Enables compatible AI clients to read stored personal-finance data and, with explicit user authorization, perform supported mutations under the same ownership checks as the web app.

Enables AI agents to securely fill web forms with credentials from SecureVault, keeping raw secrets hidden from the agent.