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"Guide to Deploying a Large Language Model Framework" matching MCP servers:

  • F
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    A framework for building MCP servers with built-in enterprise capabilities such as authentication, authorization, telemetry, audit logging, and data classification, allowing domain developers to focus on business logic while maintaining governance and compliance.
  • F
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    quality
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    A minimal MCP server framework for single-owner production deployments using OAuth authorization code flow with PKCE, providing endpoints for MCP, authorization, token, and metadata.
  • A
    license
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    quality
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    Unified MCP server integrating NIST and OWASP security frameworks with live vulnerability data, enabling security searches, compliance mapping, threat modeling, and checklist generation.
    41
    12
    MIT
  • F
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    quality
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    This MCP server provides secure access to databases for AI agents, enforcing authentication, authorization, human approval, logging, and notifications to prevent dangerous actions.
  • F
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    An MCP server that sends plain-text Gmail messages only to a predefined allowlist, using generated recipient IDs instead of email addresses to enforce security.
    2
    1
  • A
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    Enables creation of secure-by-default MCP servers with 5-layer validation to protect against injection, path traversal, and other attack vectors.
    7
    916
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    MIT
  • F
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    quality
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    IMCP - Insecure Model Context Protocol The DVWA for AI Security! Welcome to IMCP – a deliberately vulnerable framework that exposes 16 critical security weaknesses in AI/ML systems. Whether you're a security researcher, developer, or educator, IMCP is your playground for hands-on learning about real
    15
    4
    JavaScript
  • A
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    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.
    1
    1
  • A
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    quality
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    Wraps any AI agent harness with kernel-level protection, cryptographic signing, and portable audit trails, ensuring your agents act within your sovereignty.
    7
    Apache 2.0
  • A
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    quality
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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
  • F
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    quality
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    Implements a secure message communication protocol for handling exchanges between the banking chatbot and Azure OpenAI, providing message queuing, reliability, and detailed logging.
    1
  • A
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    quality
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    maintenance
    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
  • F
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    quality
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    Exposes AI-augmented network reconnaissance and evasion capabilities as callable FastMCP tools, enabling natural language orchestration of host discovery, service fingerprinting, CVE mapping, and attack chain synthesis.
    1
  • A
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    quality
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    maintenance
    Enables AI assistants to interact with security data pipelines and map data to the Open Cybersecurity Schema Framework (OCSF) through Tenzir. Provides seamless integration for processing and analyzing cybersecurity data using natural language.
    15
    8
    Apache 2.0