Development · MODEL CONTEXT PROTOCOL

gofireflyio firefly mcp

Firefly MCP

WHAT IT CONNECTS

What gofireflyio firefly mcp gives an AI Agent

  • 🔍 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
  • Node.js (v14 or higher)
  • npm or yarn
  • Firefly account with generated access keys
  • Using environment variables:
  • Using arguments:
  • 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](https://docs.cursor.com/context/model-context-protocol)
  • Use natural language to query your resources
  • 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

SECURITY

An MCP listing is not a security review

An MCP server may receive model context, credentials, local files, or permission to call external systems. Review its code, requested environment variables, network behavior, package provenance, and maintenance status before connecting it to an agent.