stitch-mcp (davideast/stitch-mcp) is an open-source AI project on GitHub. Repository summary: A CLI for moving AI-generated UI designs from Google’s Stitch platform into your development workflow. Its focus includes MCP and tool-calling integration, developer-centric engineering workflows, workflow automation. It is suitable for extension, integration, and iterative delivery in real workflows.
License
Apache-2.0
Stars
853
Features
- Core capability: A CLI for moving AI-generated UI designs from Google’s Stitch platform into your development workflow.
- Provides MCP or tool-calling integration
- Built for code generation, debugging, or engineering integration
- Supports orchestrated automation flows and scheduling
- Repository: davideast/stitch-mcp
- Primary language: TypeScript
Use Cases
- Connects external systems into agent workflows
- Supports AI engineering build-and-iterate workflows for dev teams
- Used for cross-system process automation and operations efficiency
- Build internal AI workflow prototypes with stitch-mcp
- Validate stitch-mcp in production-like engineering scenarios
- Building enterprise process automation
FAQ
Teams should first define integration boundaries and call patterns, then map repository capabilities into concrete interfaces, parameters, and access rules. GitHub repository: https://github.com/davideast/stitch-mcp. Community traction is around 850 stars. License: Apache-2.0.
It usually works as an execution component or capability layer, with common deployment fits such as: Connects external systems into agent workflows, Supports AI engineering build-and-iterate workflows for dev teams, Used for cross-system process automation and operations efficiency.
