Firefly

Firefly MCP Server

The Firefly MCP (Model Context Protocol) server is a TypeScript-based server that enables seamless integration with the Firefly platform. It allows you to discover, manage, and codify resources across your Cloud and SaaS accounts connected to Firefly.

Features

🔍 Resource Discovery: Find any resource in your Cloud and SaaS accounts
📝 Resource Codification: Convert discovered resources into Infrastructure as Code
🔐 Secure Authentication: Uses FIREFLY_ACCESS_KEY and FIREFLY_SECRET_KEY for secure communication
🚀 Easy Integration: Works seamlessly with Claude and Cursor

Prerequisites

Node.js (v14 or higher)
npm or yarn
Firefly account with generated access keys

Installation

You can run the Firefly MCP server directly using NPX:

npx @fireflyai/firefly-mcp

Environment Variables

You can provide your Firefly credentials in two ways:

Using environment variables:

FIREFLY_ACCESS_KEY=your_access_key FIREFLY_SECRET_KEY=your_secret_key npx @fireflyai/firefly-mcp

Using arguments:

npx @fireflyai/firefly-mcp --access-key your_access_key --secret-key your_secret_key

Usage

Stdio

Update the mcp.json file with the following:

{
  "mcpServers": {
    "firefly": {
      "command": "npx",
      "args": ["-y", "@fireflyai/firefly-mcp"],
      "env": {
        "FIREFLY_ACCESS_KEY": "your_access_key",
        "FIREFLY_SECRET_KEY": "your_secret_key"
      }
    }
  }
}

Run the MCP server using one of the methods above with the following command:

npx @fireflyai/firefly-mcp --sse --port 6001

Update the mcp.json file with the following:

{
  "mcpServers": {
    "firefly": {
      "url": "http://localhost:6001/sse"
    }
  }
}

Using with Cursor

Start the MCP server using one of the methods above
Use the Cursor extension to connect to the MCP server - see Cursor Model Context Protocol documentation
Use natural language to query your resources

Example:

Prompt

Find all "ubuntu-prod" EC2 instance in 123456789012 AWS account and codify it into Terraform

Response

resource "aws_instance" "ubuntu-prod" {
  ami           = "ami-0c55b159cbfafe1f0"
  instance_type = "t3.micro"
}

Demo

https://github.com/user-attachments/assets/0986dff5-d433-4d82-9564-876b8215b61e

Contributing

Fork the repository
Create your feature branch (git checkout -b feature/amazing-feature)
Commit your changes (git commit -m 'feat: Add amazing feature')
Push to the branch (git push origin feature/amazing-feature)
Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Support

For support, please visit Firefly's documentation or create an issue in this repository.

This server cannot be installed

security - not tested

license - permissive license

quality - not tested

How are these scores calculated?

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

The Firefly.ai MCP server is a TypeScript-based server that enables seamless integration with the Firefly platform. It allows you to discover, manage, and codify resources across your Cloud and SaaS accounts connected to Firefly.

Related MCP Servers

Apifox MCP Server
Tzott
-
security
F
license
-
quality
This server acts as a Message Communication Protocol (MCP) service for integrating Apifox and Cursor, enabling OpenAPI interface implementation through AI-driven interaction.
Last updated -
7
TypeScript
Apifox MCP
sujianqingfeng
-
security
-
license
-
quality
An MCP server that integrates Apifox API documentation with AI assistants, allowing AI to extract and understand API information from Apifox projects.
Last updated -
91
TypeScript
Flutterwave MCP Server
bajoski34
-
security
F
license
-
quality
An MCP server that enables AI assistants to interact with Flutterwave payment services, providing tools for transaction management, payment link generation, and automated customer support.
Last updated -
TypeScript
Plane MCP Server
gh-Constant
-
security
F
license
-
quality
An MCP server that enables AI assistants to interact with the Plane project management platform, allowing them to manage workspaces, projects, issues, and comments through a structured API.
Last updated -
JavaScript

View all related MCP servers