MCP Fly Deployer
MCP Fly Deployer is a configuration generation tool designed specifically for the Fly.io platform, used to automate the deployment of stdio servers based on the Model Context Protocol. Through the integration of supergateway technology, it supports converting local stdio services into SSE or WebSocket services and provides the function of automatically generating Dockerfile, fly.toml configuration, and deployment scripts.
rating : 2.5 points
downloads : 27
What is MCP Fly Deployer?
MCP Fly Deployer is a tool specifically designed to automate the deployment of Model Context Protocol (MCP) servers to the Fly.io platform. By generating necessary configuration files (Dockerfile, fly.toml, etc.) and deployment scripts, it allows developers to easily deploy stdio-based MCP servers to the cloud.How to use MCP Fly Deployer?
The usage process is very simple: 1) Provide your server configuration information. 2) The tool generates deployment files. 3) One-click deployment to Fly.io. The whole process is automated, eliminating the need to manually write complex deployment configurations.Use cases
Suitable for developers who need to quickly deploy MCP servers on Fly.io, especially teams that want to focus on business logic and don't want to spend time on infrastructure configuration.Main features
Automated configuration generationAutomatically create Dockerfile and fly.toml configuration files to simplify the deployment process
Multi-runtime supportSupport multiple runtime environments such as Python, Node.js, Go, and custom binaries
Supergateway integrationBuilt-in supergateway support enables stdio servers to communicate via SSE or WebSocket
Environment variable managementEasily manage environment variables and sensitive information required by the server
Region selectionSupport selecting multiple global deployment regions on Fly.io
Advantages and limitations
Advantages
Significantly simplify the deployment process of MCP servers
Support multiple programming languages and runtimes
Automatically handle network communication protocol conversion
Flexible deployment configuration options
Deep integration with the Fly.io platform
Limitations
Currently only support the Fly.io deployment platform
Require basic command-line operation knowledge
Limited support for custom deployment scenarios
How to use
Installation preparation
Ensure that Python 3.13+ and the Fly.io CLI and Node.js environment are installed
Clone the repository
Get the source code of MCP Fly Deployer
Set up a virtual environment
Create and activate a Python virtual environment
Install dependencies
Install the dependency packages required for the tool to run
Start the server
Run the MCP server generator
Generate deployment configuration
Send a configuration request to the server to obtain deployment files
Usage examples
Deploy a Node.js MCP serverDeploy a Node.js-based MCP chat server to the Chicago region
Deploy a Python data analysis serviceDeploy a Python data analysis MCP service with specific dependency packages
Frequently Asked Questions
Is it necessary to pay to use MCP Fly Deployer?
Which Fly.io regions are supported?
How to debug deployment issues?
Does it support custom Docker images?
How to update a deployed application?
Related resources
Fly.io official documentation
Complete documentation for the Fly.io platform
Supergateway project
Implementation of the MCP protocol gateway
MCP protocol specification
Official specification of the Model Context Protocol
Deployment tutorial video
Video tutorial on using MCP Fly Deployer
Featured MCP Services

Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
1.7K
5 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
823
4.3 points

Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
79
4.3 points

Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
130
4.5 points

Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
554
5 points

Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
6.6K
4.5 points

Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
5.2K
4.7 points

Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
745
4.8 points