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Bizfly Cloud MCP Server

MCP Server

Manage Bizfly Cloud resources via natural language

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Updated Apr 21, 2025

About

An MCP server that connects to Bizfly Cloud, enabling users to list, start, reboot, resize, and delete servers, volumes, load balancers, Kubernetes clusters, and databases directly from Cursor or Claude Desktop.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Overview

Bizfly Cloud MCP Server is a lightweight, open‑source Model Context Protocol implementation that bridges AI assistants such as Claude or Cursor with the Bizfly Cloud platform. By exposing a rich set of cloud‑management tools through MCP, it allows developers to query, provision, and manipulate virtual infrastructure directly from natural‑language conversations. This eliminates the need for separate CLI sessions or manual API calls, streamlining day‑to‑day operations and accelerating prototyping workflows.

The server addresses a common pain point for teams that rely on cloud resources: the cognitive overhead of juggling multiple interfaces. When an AI assistant can translate a simple request—“Create a new database with 20 GB storage”—into an authenticated API call, developers can focus on higher‑level logic instead of memorizing command syntax. The MCP server handles authentication, request validation, and response formatting, delivering results in a consistent, human‑readable format that the assistant can display or summarize.

Key capabilities are grouped into logical domains:

  • Server Management – List, start, reboot, delete, resize servers and view available flavors.
  • Volume Management – Create, list, resize, delete volumes, and manage snapshots.
  • Load Balancer Management – Provision and remove load balancers with simple commands.
  • Kubernetes Management – Create, delete clusters and inspect node lists.
  • Database Management – List databases, discover supported engines, and spin up new instances.

Each tool is defined with clear parameters, enabling the AI to prompt for missing information and validate user input before making API calls. The server communicates over standard I/O, ensuring compatibility with any MCP‑compliant client without additional networking overhead.

In real‑world scenarios, this server shines for rapid infrastructure iteration during development sprints, automated deployment pipelines triggered by conversational requests, or support teams that need to troubleshoot resource issues on demand. For example, a product manager could ask the assistant to “Show me all my Bizfly Cloud servers” and instantly receive a formatted table, while an operations engineer could request “Resize the database cluster to 4 nodes” and have the change applied within seconds.

By integrating seamlessly into existing AI workflows, Bizfly Cloud MCP Server provides a unified interface for cloud operations. Its open‑source nature and reliance on the proven mark3labs/mcp-go SDK mean that developers can extend or customize tool sets to fit niche requirements, ensuring that the assistant remains a powerful ally in managing cloud infrastructure.