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    MCP server that gives AI agents paid tools to de-risk costly actions: dependency vetting, x402 endpoint verification, JSON repair, and URL reading. Fronts the Guard HTTP API at guard.fabtally.com.
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    MIT
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    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.
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    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.
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    MIT
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    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.
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    MIT
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    RSigma is a Rust detection-engineering toolkit for the Sigma standard. Its MCP server (rsigma mcp serve) exposes the toolchain to AI agents over stdio or Streamable HTTP, with tools to author, lint, validate, and convert Sigma rules, evaluate and explain detections against log events, and inspect correlation state.
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    MIT
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    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.
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    MIT
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    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.
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    MIT
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    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.
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    Enables Pinterest Business account management through OAuth, including authorization URL generation, connection status checking, and secure token storage.
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    MIT
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    Enables security-focused LLM agents like GPT-4.1 and Claude 3 to interact with the urlDNA threat intelligence platform, providing tools for URL scanning, threat detection, and malicious content analysis.
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    Apache 2.0
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    A comprehensive suite of HTTP and API testing tools that enables AI agents to perform requests, check endpoint health, and decode JWTs. It also provides utilities for URL parsing and detailed security analysis of HTTP response headers.
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    MIT
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    qURL is the portal to the invisible internet -- expiring, scope-limited URLs that let AI agents reach services no one else can see.
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    MIT
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    Enables interaction with the AssemblyLine 4 malware analysis platform, allowing file submissions, URL analysis, and search capabilities via natural language.
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    MIT
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    Enables AI assistants to create, sanitize, and manage disposable Hypernode Brancher preview environments cloned from production, with automatic PII anonymization, credential reset, and sandbox-forcing before any access URL is revealed.
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    Apache 2.0
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    Enables LLM agents to access Google Threat Intelligence data, including IOC search, file/domain/IP/URL analysis, and threat hunting rulesets, for security investigations.
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    Apache 2.0
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    Enables LLMs to author Maltego .mtgx graph files and perform OSINT lookups, with an optional transform layer for pivoting into MISP, TheHive, Cortex, and MITRE ATT\&CK directly in Maltego Desktop.
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    MIT