"Information about Proxmox virtualization and server management" matching MCP servers:

Provides read-only Proxmox cluster oversight and configuration compliance checks through MCP, covering health, inventory, storage, backups, snapshots, and updates.

Enables read-only interaction with Proxmox homelab VMs and containers, allowing LLM agents to list VMs, monitor status and performance metrics, view snapshots, and check cluster health through natural language queries.

An MCP server for Proxmox VE that enables read-only cluster inspection, VM/container lifecycle operations, snapshots, migration, and provisioning with safe confirmation gates.

Enables AI assistants and automation agents to inspect Proxmox clusters, nodes, storage, containers, VMs, and recent events through the Proxmox VE API, with optional backup actions.

Enables Claude to operate a Proxmox VE cluster through MCP with identity-aware access, per-user API tokens, policy enforcement, and audited tool execution.

Manages Proxmox VE clusters through the official PVE API with 22 tools for cluster status, VMs/containers, storage, snapshots, and provisioning. Supports stdio or HTTP/StreamableHTTP transports with optional OAuth for Gemini and multi-server configurations.

Enables read-only searching and retrieval of the official Proxmox VE administration guide via MCP tools and resources, returning cited fragments with source URLs and freshness metadata.

Manage Job using MCP: Manage Job, Candidates, Resumes, Salaries all within this one MCP tools It can solve problems like: You have 50 resumes to screen. Your AI assistant can reason about candidates, but it can't: Read PDFs/DOCX — The AI can't open binary files Extract structured data — Copy-pasting loses formatting, metrics, and context Compare at scale — No consistent scoring across candida

Enables users to connect to their email inbox via IMAP to search, filter, and summarize emails based on criteria like subject, date, and sender. Supports marking emails as read and provides customizable email summarization with various prompt options.

Enables MCP clients to connect to a privacy-first, self-hostable workout planning and training log, allowing coaching agents to preview and apply program changes while accessing training data through OAuth-protected endpoints.

Enables AI agents to search, filter, and monitor curated AI model API free credits and low-cost token promotions through eight tools, four resources, and three prompts — including finding deals expiring soon, checking eligibility and blocked conditions, and producing daily briefs.

Provides specialized tools for portfolio health analysis, rebalance simulations, and trade execution via a single interface powered by MongoDB. It enables AI agents to manage investment portfolios while adhering to organizational governing rules, clearance guards, and rate limits.

Enables querying aviation weather, FAA TFRs, NWS alerts, flight tracking, and Amtrak train status using public APIs. No API keys or private infrastructure required.

Provides real-time system metrics and information through a Model Context Protocol interface, enabling access to CPU usage, memory statistics, disk information, network status, and running processes.

Enables comprehensive Google Meet and Calendar management through Google Calendar API v3 and Google Meet API v2, supporting calendar event creation with Meet links, space management, transcription, recording, attendance tracking, and meeting moderation controls.

Enables natural language management of Proxmox VE VMs and containers, including lifecycle, snapshots, cloud-init, and secure multi-step automation workflows.

Enables Claude Desktop to manage office inventory through natural language, including adding items, issuing stock, checking availability, and low-stock alerts.

An MCP server that implements Retrieval-Augmented Generation to efficiently retrieve and process important information from various sources, providing accurate and contextually relevant responses.

An MCP server that enables management of Google Play games via the Google Games Management API, allowing automated interactions for game resets, hiding/unhiding data, and player management through natural language commands.

A local MCP server that integrates FastMCP with OpenAI to enable natural language queries for current weather, forecasts, and currency conversion using ExchangeRate-API and Open-Meteo.

Enables creating and managing user profiles with interactive elicitation capabilities that prompt users for missing required information. Demonstrates MCP's elicitation feature by validating profile data and requesting additional details when fields are incomplete.

MCP server for answering questions about official statistics from a single publication URL, with tools to check query scope, retrieve overview, text, data files, and search.

Enables AI assistants to manage tasks through YAML-based storage with subtask suggestions, status updates, and Mermaid Gantt chart generation. Supports hierarchical task structures with attributes like dependencies, milestones, and parallel execution.

Enables LLM clients such as Cursor and Claude to discover and use generated REST services through MCP tools for create, update, and delete actions and MCP resources for list and get-by-id context. Services generated in one command are exposed simultaneously as REST endpoints and MCP tools and resources.

Enables AI assistants to interact with generated REST APIs by discovering and using CRUD tools and read-only data resources.

Enables AI assistants to discover and invoke CRUD tools and read-only resources over the Model Context Protocol for generated API services.

A lightweight and modular framework for building MCP-based file management systems with standardized module structure, flexible configuration, and extensible functionality registration mechanisms.

Enables AI assistants to interact directly with generated REST APIs by exposing CRUD operations as MCP tools and read-only data as resources.

Exposes generated CRUD services to LLM clients over the Model Context Protocol, providing tools for create, update, and delete actions plus read-only resources for listing and fetching records by id. It lets assistants like Claude, ChatGPT, and Cursor discover and manipulate the same data served by the project's REST endpoints without any extra glue code.

Exposes every generated CRUD service to LLM clients such as Claude, ChatGPT, or Cursor through discoverable MCP tools for create, update, and list actions plus read-only resources, so models can query and manipulate data without raw HTTP calls. It runs alongside the same codebase's REST endpoints, letting clients and AI share one data layer.