Firefly MCP Server

Firefly MCP Server is a TypeScript‑based bridge that connects AI assistants such as Claude or Cursor to the Firefly platform. By exposing a Model Context Protocol (MCP) interface, it lets developers query and manipulate the full inventory of resources across their cloud and SaaS accounts—everything from virtual machines to database tables—using natural language. The server solves a common pain point for AI‑driven DevOps: the lack of a unified, programmatic view of heterogeneous infrastructure. With Firefly MCP, an assistant can answer questions like “Show me all production‑grade EC2 instances” or automatically translate a resource into Terraform code, eliminating the need for manual browsing or custom scripts.

At its core, Firefly MCP provides three tightly coupled capabilities. First, resource discovery scans connected accounts and returns a structured list of assets that match user queries. Second, resource codification converts any discovered resource into Infrastructure‑as‑Code (IaC) snippets, such as Terraform or CloudFormation, enabling instant provisioning or migration. Third, secure authentication is handled via Firefly’s access and secret keys, ensuring that all interactions remain encrypted and authorized. These features are wrapped in a simple HTTP/Server‑Sent Events (SSE) endpoint that AI clients can connect to, making integration straightforward.

Developers benefit from Firefly MCP in several real‑world scenarios. In continuous delivery pipelines, an assistant can automatically fetch the latest environment configuration and generate IaC for new stages. Security teams can audit infrastructure by querying for misconfigured resources or missing tags, while the assistant returns a corrective Terraform snippet. On the operational side, support agents can ask for resource health metrics or cost breakdowns and receive instant answers without leaving the chat interface. Because the server is written in TypeScript, it can be easily extended or integrated into existing Node.js workflows, and its compatibility with popular tools like Cursor means minimal setup for end users.

What sets Firefly MCP apart is its end‑to‑end automation. The server not only retrieves information but also codifies it, allowing a single natural‑language request to produce ready‑to‑deploy IaC. This reduces the cognitive load on developers, speeds up onboarding for new environments, and ensures that infrastructure changes are consistent and version‑controlled. By exposing these capabilities through the MCP, Firefly empowers AI assistants to become true infrastructure partners—capable of understanding intent, accessing data securely, and delivering actionable code in a conversational context.