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"Understanding Inference Models" matching MCP servers:

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    An MCP server that provides cross-validated npm dependency fitness verdicts, including deprecation, malicious detection, and safe migration target inference.
    2
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    MIT
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    Enables users to manage OpenFGA authorization models, stores, and relationship tuples through natural language. It supports permission checks, batch tuple operations, and the deployment of authorization models across different environments.
    10
    MIT
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    A Model Context Protocol server that retrieves CVE information from the National Vulnerability Database, allowing AI models to access up-to-date vulnerability data.
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    Apache 2.0
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    Enables detection of AI-generated content from ChatGPT, GPT-4, and Gemini models through the BACH AI Content Detector API.
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    MIT
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    An implementation of the Model Context Protocol server that enables AI models to communicate with Edge Security Acceleration (ESA) services, allowing models to manage routines, deployments, routes, records, and sites through standardized protocols.
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    MIT
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    Cryptographic AI governance and audit. 18 tools, 28 frameworks. EU AI Act, NIST AI RMF, OWASP Agentic Top 10, CMMC, SR 11-7, ISO 42001. Tool policy gates, trust mesh, inference attestation, audit sessions. Zero-config demo mode.
    256
    Apache 2.0
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    Enables AI models to analyze log files from the Chuangyu Shield cloud defense platform, including retrieving file info, reading log lines, searching logs, and analyzing attack types and IP statistics.
    8
    MIT
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    An MCP server that audits installed MCP servers, revealing their credentials, tool capabilities, and security risks. It enables users to assess and monitor the access granted to AI models.
    MIT
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    Provides real-time content safety protection for large language models by detecting and preventing risks in both input and output content across multiple dimensions including compliance, ethics, and security.
    MIT
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    Bridges large language models with the Metasploit Framework to enable natural language control over penetration testing workflows. It provides tools for searching modules, executing exploits, generating payloads, and managing active sessions.
    1
    Apache 2.0
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    Provides MCP clients a single decision-only tool to classify prompts as safe for local or cloud models, or as containing PII or jailbreak content, without executing actions or calling AI models.
    210
    Cryptographic Autonomy 1.0 (Combined Work Exception)
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    A collection of MCP servers for Kali Linux that empower AI Agents in reverse engineering and security testing, providing network analysis, target sniffing, traffic analysis, binary understanding, and automation capabilities.
    28
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    An MCP server that integrates ThreatBook's threat intelligence API, offering 15 specialized tools for security analysis. It enables AI models to perform IP reputation checks, domain investigations, file sandbox analysis, and vulnerability intelligence lookups.
    49
    MIT
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    Pre-attestation gate for AI inference that checks compliance conditions and issues Ed25519-signed clearances before execution, refusing any inference without a valid clearance.
    MIT
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    Enables AI-powered threat modeling with tools for creating threat models, analyzing security threats, generating security controls, and validating architecture against best practices.
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    MCP server that enforces governance on agentic decisions with auditable evidence records, providing tools for understanding, calibrating confidence, and navigating handoffs based on policy.
    1