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Create, list, and inspect Flutter projects from a template using natural language.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MTDevKit" yet — see the docs or source repo.
Create a new Flutter project named shop_app from the custom clean-architecture Bitbucket template.
Confirmation that the new project was created from the specified template.
List the currently available Flutter projects.
A list of available Flutter projects for quick review.
Inspect and describe the project details for shop_app.
Basic information about the project to help understand its contents or status.
When starting a new mobile app, developers can use natural language to generate a Flutter project from a custom clean-architecture template, reducing manual setup.
Teams can have AI agents list existing Flutter projects to quickly review available projects and naming conventions.
When taking over or reviewing a project, users can inspect a specific Flutter project's information in natural language before continuing development.
It is an MCP server that scaffolds Flutter projects from a custom clean-architecture Bitbucket template and lets users create, list, and inspect projects with natural language.
Based on the provided description, it supports creating Flutter projects, listing projects, and inspecting project information. For more details, see the source repository.
It is known to depend on a custom clean-architecture Bitbucket template. For exact installation steps, runtime requirements, or credentials, see the source repository.
Connect AI agents to browse, inspect, and modify FlutterFlow projects.
Use AI to inspect and understand FlutterFlow projects faster.
Securely develop and generate code for enterprise Kotlin Android projects.
Manage long-running dev processes, logs, and hot reload across frameworks.
Build, deploy, manage hosted apps, and collaborate with AI coding agents.
Run zero-config cross-platform end-to-end app testing using natural language.