Bridges Claude to your Fascia deployment, letting the AI agent discover and invoke the tools and entity schemas you've already defined there. You'd use this when you want Claude to interact with your Fascia-managed workflows without redefining everything in a separate MCP configuration. The server exposes whatever tools and entities are live in your Fascia instance, so Claude can query schemas and execute operations directly. Saves you from maintaining parallel definitions when you're already using Fascia to orchestrate your backend tooling and want to extend that same interface to your AI agent.
claude mcp add --transport stdio io.github.orcar-studio-fascia-mcp-server -- npx -y @fascia-run/mcp-server