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77,203 servers. Updated

"author:marc-shade" matching MCP servers:

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    Enables cluster-aware command execution and automatic task routing across distributed nodes based on system load, architecture, and OS requirements. It supports parallel execution, remote node management via SSH, and dynamic load balancing for agentic workflows.
    4
    MIT
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    Defense-grade cryptographic compliance and analysis tools for MCP, including FIPS 140-3 validation, CNSA 2.0 analysis, post-quantum readiness assessment, and classical cipher utilities.
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    MIT
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    Aggregates real-time threat intelligence from multiple sources including Feodo Tracker, URLhaus, CISA KEV, and ThreatFox, with IP/hash reputation checking via VirusTotal, AbuseIPDB, and Shodan for comprehensive security monitoring.
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    MIT
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    Enables comprehensive vulnerability scanning using Nuclei scanner with support for single targets, network ranges, and cluster-wide security assessments with customizable severity levels and automated scheduling.
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    Provides multi-provider image generation with automatic fallback across services like Pollinations.ai, Cloudflare, and Hugging Face. It features specialized pixel art generation, cost tracking, and automatic saving of generated visual assets to disk.
    MIT
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    An advanced MCP server that provides stateful voice-controlled AGI capabilities with local STT, TTS, and intent detection. It enables users to execute tools, manage memory, and conduct research through natural multi-turn dialogue with low-latency performance tracking.
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    Enables searching, downloading, and analyzing academic papers from arXiv and Semantic Scholar to extract key insights and citation metrics. It facilitates autonomous knowledge acquisition by processing research findings and integrating them into persistent AI memory systems.
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    Enables efficient AI agent operations through sandboxed Python code execution with progressive tool discovery, PII tokenization, and skills persistence, achieving up to 98.7% token reduction by processing data in a sandbox rather than in context.