"Retrieve Page Information from a Specific URL" matching MCP servers:

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

Enables AI agents to check URL safety before fetching content, using Google Web Risk, URLhaus, PhishTank, and AI analysis to return SAFE/SUSPICIOUS/DANGEROUS verdicts.

This MCP server provides secure access to databases for AI agents, enforcing authentication, authorization, human approval, logging, and notifications to prevent dangerous actions.

Validates URLs and checks their reputation to help identify AI hallucinations and verify web page authenticity.

Enables AES-256-CBC encryption and decryption of messages with passphrase-derived keys, exposing tools, resources, and prompts for MCP clients like VS Code Copilot Chat.

Provides agent certification and trust verification tools for AI agents, enabling certification checks, trust score calculations, audit ticket issuance, and emergency kill switch activation through the A-SOC trust network.

Enables AI agents to interact with a user management REST API, providing list, get, and create operations while preventing destructive actions like update/delete through an explicit access registry.

Enables AI agents to manage VPN infrastructure through provisioning, lifecycle control, traffic routing, and health monitoring.

Routes web requests from AI tools through Tor for anonymized fetching, with selective per-URL routing to bypass Tor-blocking sites.

An MCP server that checks SPF, DKIM, DMARC, and MX records for a domain, returning a health verdict and specific DNS fixes to improve email deliverability.

URL intelligence for AI agents. One URL in, structured security and data quality signals out across 7 dimensions. 13 tools, risk score 0-100 with 23 configurable weights.

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.

A Model Context Protocol (MCP) server for Socket integration, allowing AI assistants to efficiently check dependency vulnerability scores and security information.

A modular MCP server for analyzing PCAP files using protocol-specific analysis tools, enabling LLMs to read and analyze network packet captures from local paths or remote URLs.

A Model Context Protocol server for the PicDefense.io API — let AI agents run reverse-image risk analysis, EXIF extraction, image backlink discovery, and image content detection (face / landmark / logo / label / SafeSearch) on any image URL.

Check whether a URL is allowed under a network-egress policy before any fetch, with tools for single URL, batch checks, and policy validation.

Enables reading and verifying C2PA Content Credentials from images and videos through both embedded manifests and invisible watermarks. Supports direct filesystem access, URL checking, and provides structured provenance data including creator identity, AI generation info, and content authenticity.

A redaction engine and MCP server that scrubs sensitive identifiers (AWS keys, IPs, emails, etc.) from AI agent traces, enabling safe storage and sharing of war stories via submit, search, and retrieve tools.

security tools for AI agents: URL safety scanning, prompt injection detection (200+ patterns), email/password breach checks via HIBP, domain & IP reputation analysis, and AI skill supply chain scanning. Free tier (3 calls/day) or pay-per-request with USDC micropayments via x402.

Enables Pinterest Business account management through OAuth, including authorization URL generation, connection status checking, and secure token storage.