Provisioning Machines using MCPs

On Monday, I created my first fly volume using an MCP. For those who don’t know what MCPs are, they are how you attach tools to LLMs like Claude or Cursor. I added support for fly volume create to fly mcp server, and it worked the first time. A few h

Sam Ruby
5 min readintermediate
--
View Original

Overview

The article discusses the use of Model Context Protocols (MCPs) for provisioning machines, highlighting their integration with tools for managing resources in applications. It emphasizes the intuitive nature of using LLMs like Claude to interact with and manage these resources effectively.

What You'll Learn

1

How to create and manage fly volumes using MCPs

2

Why integrating LLMs with provisioning tools enhances resource management

3

How to configure LLMs for effective interaction with Fly.io resources

Prerequisites & Requirements

  • Basic understanding of cloud provisioning and LLMs
  • Familiarity with Fly.io and flyctl

Key Questions Answered

What are MCPs and how do they work with LLMs?
MCPs, or Model Context Protocols, are mechanisms that allow tools to be attached to large language models (LLMs) like Claude or Cursor. They facilitate the management of resources such as fly volumes, enabling users to interact with their applications through natural language commands.
How can I delete unattached volumes using LLMs?
You can ask the LLM to identify unattached volumes and instruct it to delete the oldest one. This interaction demonstrates how LLMs can assist in managing cloud resources without needing to navigate complex interfaces or documentation.
What is the future vision for MCPs and LLMs in application management?
The future vision includes a seamless interaction where users can command LLMs to launch applications, manage resources, and troubleshoot issues, all while leveraging the intelligence of LLMs to automate and simplify the process.

Technologies & Tools

Protocol
Mcp
Used for attaching tools to LLMs for resource management
Tool
Flyctl
Command-line interface for managing Fly.io resources

Key Actionable Insights

1
Utilize MCPs to streamline the management of cloud resources in your applications.
By integrating MCPs with LLMs, you can significantly reduce the complexity of managing resources, allowing for more intuitive interactions and quicker adjustments.
2
Regularly update your flyctl version to access the latest features and improvements.
Keeping your tools up to date ensures you benefit from the latest enhancements and bug fixes, which can improve your overall experience when managing cloud resources.
3
Experiment with LLM commands to discover new ways to manage your application resources.
Engaging with LLMs can reveal capabilities that might not be immediately apparent, enhancing your resource management strategy.

Common Pitfalls

1
Assuming that LLMs will always understand commands without context.
LLMs require clear instructions and may not interpret vague commands correctly. Providing specific requests can enhance their effectiveness.

Related Concepts

Cloud Provisioning
Llm Integration
Resource Management Strategies