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"How to query data from a Snowflake database" matching MCP servers:

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    Enables AI models to securely query and manage virtual machines and virtualized resources via the libvirt API through the Model Context Protocol.
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    MIT
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    A Model Context Protocol server that lets AI assistants query multiple Kubernetes clusters simultaneously using natural language.
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    MIT
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    GenieACS-MCP is a Go-based MCP server that bridges any GenieACS (TR-069 ACS) instance, exposing device data, firmware management, and CPE actions (reboot, parameter refresh, firmware download) over JSON-RPC
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    GPL 3.0
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    A self-hosted MCP server providing a governed interface for AI agents to interact with local Docker infrastructure, featuring a two-phase confirm protocol for state-changing operations and append-only audit logging.
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    A read-only MCP server that provides visibility into Parallels Remote Application Server infrastructure, policies, and sessions through the RAS REST API. It enables AI assistants to query site settings, published applications, and license status without performing any modifications.
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    MIT
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    Read-only MCP server that allows AI assistants to query and monitor KVM Fleet devices, audit logs, and console sessions through the official REST API.
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    MIT
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    Manage Docker infrastructure across multiple homelab hosts including Unraid, Proxmox, and bare metal servers. Enables container lifecycle management, log retrieval, resource monitoring, and Docker operations across your entire homelab from a single interface.
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    MIT
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    Enables AI assistants to automate DDEV development environments, including project management, database operations, and executing commands for various CMS frameworks.
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    GPL 2.0
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    Enables Claude to monitor and manage homelab infrastructure including Docker containers, OPNsense firewall, and TrueNAS storage with configurable capability levels from read-only monitoring to full management control.
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    Enables conversational management of Naver Cloud Platform infrastructure through Claude Desktop, allowing users to create, query, and manage cloud resources like servers, VPCs, load balancers, and databases using natural language.
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    A gateway for Generative AI systems to interact with multiple Kubernetes clusters through Model Context Protocol, enabling comprehensive Kubernetes resource operations and multi-cluster management.
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