Big news. It’s now easier than ever to manage and codify your cloud and SaaS resources, thanks to the launch of Firefly’s MCP (Model Context Protocol) Server.
Here’s what you need to know.
Our new MCP Server enables seamless integration with Firefly and tools like Cursor and Claude, allowing you to discover, manage, and codify any resource using natural language. In short, it’s the new bridge between your cloud and the AI-native tools you already use.
With secure API key access and a plug-and-play NPX setup, you can now:
- Discover all resources across your connected accounts
- Instantly codify them into Infrastructure as Code
- Use tools like Cursor to query and codify with simple prompts
Firefly’s MCP Server: Bringing Context-Aware CloudOps to DevOps and Platform Engineering
Traditional workflows force engineers to jump between consoles, APIs, and docs. Of course, AI code assistants help, but they’ve lacked context — until now. Firefly’s MCP Server exposes your real-time cloud state to any MCP-compliant agent. That means you can:
- Eliminate custom integrations, since AI assistants interact directly with Firefly’s Cloud Infrastructure Automation platform.
- Accelerate workflows, shorten feedback loops and reduce friction. Think: move from troubleshooting to designing and shipping features.
- Stop the guesswork. Now, you can codify resources based on what’s actually deployed, not what you think is there.
MCP: The Evolution from Buzzword to Real Value
MCP is everywhere in AI conversations, but at Firefly, we’re focused on real-world impact. We’ve worked with teams at ZoomInfo and HPE to bring CloudOps into the future with AI agents. Now, with Firefly’s MCP Server, that future is here.
Here’s what sets Firefly’s MCP Server apart.
Our MCP server enables AI agents to:
- Use Cursor with your cloud context: Seamlessly integrate with Cursor to generate code that is aware and corresponds with your cloud infra (not just static templates)
- Answer any questions about your cloud: Leverage Firefly's comprehensive cloud inventory and retrieve any data about your cloud, easily and instantly.
- Vibe code cloud environments: Turn existing cloud into IaC, or create new environments directly into IaC, using simple language.
That means DevOps and Platform teams can now leverage AI assistants to interact directly with Firefly's powerful Cloud Infrastructure Automation platform, eliminating complex custom integrations and accelerating workflows.
Firefly’s MCP Server: How It Works
Firefly’s MCP Server turns your cloud into a live, queryable interface for AI-native tools. That means any agent or copilot that speaks MCP can pull live data from your cloud stack, generate and validate code against production, detect drift and trigger automated remediation, and optimize cost and performance using real usage data.
Read: this is more than code generation. It’s about enabling systems that can reason over complex environments, prioritize intelligently, and take meaningful action.
With Firefly, you also get the ease and convenience of:
- Plug-and-play setup: Get started in minutes with NPX and API keys.
- Comprehensive inventory: Firefly maintains a real-time, deeply indexed view of your cloud—Kubernetes, IAM, SaaS, and more.
- Agentic workflows: Any LLM agent with an MCP client can now interact with your infrastructure—by asking, not by guessing.
Firefly’s MCP Server is the gateway to agent-driven, cloud-aware development. It unlocks infrastructure-aware copilots, automated drift detection, self-healing systems, and proactive optimization.
With it, every AI agent can now be grounded in reality, not just templates. It’s the new interface to your cloud: faster, more contextual, and more intuitive than has ever been possible.
To dive deeper into how our MCP server works, explore the documentation: https://docs.firefly.ai/firefly-documentation-portal/firefly-mcp
