Your AI Copilot Already Knows Our APIs.
Every Launch Rail microservice ships with native MCP servers, Claude Code skills, Cursor rules, and Antigravity workflows. Describe what you want in plain English — your AI tools handle the rest.
The Old Way: Read Docs, Write Boilerplate, Pray It Works
Integrating a microservice used to mean weeks of reading API documentation, writing HTTP clients from scratch, debugging auth headers, and manually configuring SDKs. Every new service meant repeating the same slow, error-prone cycle. For startups racing to ship, this kills velocity.
The Vibe Coding Way: Describe It, Ship It
With Launch Rail, your AI tools already understand the entire API surface. Tell Claude Code to create a user, set up billing, or send a notification. The MCP server, skills files, and rules mean your AI assistant knows the schema, the endpoints, the patterns, and the best practices. Zero docs diving.
First-Class Support for the Tools You Already Use
Launch Rail ships with built-in configurations, skills, and rules for the leading AI-powered development tools.
Claude Code
Native MCP server integration means Claude Code can discover tools, read resources, and execute actions across every Launch Rail service. Ships with .claude/ skills files and CLAUDE.md project context so Claude understands your architecture from the first prompt.
Cursor
Pre-configured .cursor/rules files teach Cursor about your Launch Rail API surface, protobuf definitions, and Go service patterns. Cursor Composer understands your codebase conventions and generates integration code that follows your architecture from day one.
Codex
OpenAPI specs embedded in every service binary ensure Codex understands your API endpoints, request and response types, and validation rules. Combined with MCP server access for fully autonomous agentic workflows across your entire stack.
Google Antigravity
Antigravity agents connect directly to Launch Rail MCP servers, discovering tools and resources across your microservices. The artifact system pairs perfectly with our event-driven architecture — agents plan, execute, and verify complex multi-service workflows autonomously.
From Clone to Production in Minutes
Three steps. Zero friction. Launch Rail eliminates the gap between intent and implementation.
Clone the Service Repository
Pull the Launch Rail service you need. MCP server configs, AI tool rules, and skills files are already in the repo. Run one command and your environment is ready — every config, every proto definition, every test fixture.
Point Your AI Tool at the MCP Server
Add the MCP server URL to your Claude Code config, Cursor settings, or Antigravity workspace. Your AI tool auto-discovers all available tools, resources, and API schemas. No manual setup, no docs hunting.
Describe What You Want. Ship It.
Tell your AI assistant: "Create an endpoint that invites a user to a workspace and sends them an email notification." It understands the Identity service, the Notifications service, the event system, and your project patterns. Production-quality code, generated in seconds.
Why Startups Ship 10x Faster with Launch Rail
AI-native infrastructure eliminates the busywork that slows early-stage teams down.
Zero Documentation Overhead
Your AI tools already know the API surface, the proto definitions, and the best practices. Stop context-switching between docs tabs and your editor — just describe what you need.
New Devs Ship on Day One
A new engineer clones the repo, opens their AI tool, and starts building. Skills files and MCP context mean they understand the architecture without a two-week ramp-up period.
Replace Months of Backend Work
A two-person startup can ship enterprise-grade auth, billing, notifications, and audit logging — all vibe-coded against production-ready Go microservices. No platform team required.
From Idea to Feature in Hours
Describe a feature in plain English. Your AI generates the integration code, wires up service calls, and handles error cases using patterns from the skills files. Iterate at the speed of thought.
The Developer Experience, Compared
Traditional integration vs. vibe coding with Launch Rail.
Traditional Development
Vibe Coding with Launch Rail
Every Service, AI-Ready Out of the Box
Each Launch Rail microservice exposes REST, gRPC, and a native MCP server. Your AI tools work with all of them.
Identity
Users, workspaces, teams, RBAC, and device sessions
Entitlements
Plans, features, usage limits, and license gating
Notifications
Email, push, SMS, and in-app notification delivery
Scheduler
Cron jobs, delayed tasks, and recurring workflows
Audit Log
Immutable event trails, compliance, and forensics
Submissions
Form collection, file uploads, and review workflows
Ready to Vibe Code Your SaaS?
Stop building infrastructure from scratch. Launch Rail gives you production-ready Go microservices that your AI tools already understand. Every service. Every protocol. Ready for your first prompt.
7+ Services
All with native MCP servers, skills files, and AI tool configs.
4 AI Tools
Claude Code, Cursor, Codex, and Google Antigravity — first-class support.
Minutes, Not Months
From clone to feature-complete in a single session.