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  • A
    license
    C
    quality
    B
    maintenance
    An MCP server for HPE Juniper Security Director Cloud that exposes 368 tools to manage firewall policies, NAT policies, security resources, and more via the full OpenAPI surface. Enables LLMs to directly interact with and configure a live Security Director Cloud environment.
    100
    2
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    Enables LLMs to search Docker Hub repositories, discover container images, and manage Docker Hub repositories and tags through natural language queries. Supports both public content access and authenticated operations with Docker Personal Access Tokens.
    169
    Apache 2.0
  • F
    license
    Not graded
    quality
    D
    maintenance
    A thin, deterministic MCP hub for SAP BTP that routes connections to multiple SAP systems behind one login, preserving per-user identity.
    -
  • A
    license
    Not graded
    quality
    A
    maintenance
    A single MCP server that gives an AI assistant comprehensive access to manage a homelab, including SSH, Docker, Proxmox, Synology, Cloudflare, and more, with 85 tools and a centralized configuration.
    MIT
  • F
    license
    Not graded
    quality
    B
    maintenance
    Enables deployment of a remote MCP server on Cloudflare Workers without authentication, allowing connection to AI Playground or Claude Desktop.
    -
  • A
    license
    Not graded
    quality
    A
    maintenance
    Enables AI assistants to fetch live, dated prices for LLM models and cloud compute instances across providers, compare and recommend models, and estimate monthly costs based on workload-specific token shapes and constraints.
    MIT
  • F
    license
    Not graded
    quality
    D
    maintenance
    Exposes 90 production-grade tools for interacting with the complete HPE Aruba Networking Central REST API surface, including network inventory, configuration, and security management. It features enterprise-ready OAuth2 handling and semantic tool filtering for optimized performance with both hosted and local LLMs.
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