Flutter CLI MCP Server

Flutter CLI – Model Context Protocol Server

The Flutter CLI MCP server turns the standard workflow into a first‑class AI‑accessible tool. By exposing the Flutter project creation commands through MCP, developers can let Claude or other AI assistants orchestrate new projects directly from the chat interface. This removes the need to remember CLI flags or manually type commands, allowing the assistant to scaffold projects that match the exact platform requirements of a given task.

What problem does it solve?

When building cross‑platform apps, developers often juggle multiple options—choosing the target platforms (Android, iOS, web, desktop) and naming conventions. A typical workflow involves opening a terminal, navigating to the workspace, and executing a command like . The MCP server automates this process by providing two ready‑to‑use tools: one that creates a project for all supported platforms, and another that lets the caller specify exactly which platforms to include. This eliminates repetitive typing, reduces human error, and speeds up the initial setup of a new Flutter project.

Core capabilities

• Platform‑aware project scaffolding – The server accepts a project name and an optional list of platforms, then runs the appropriate command under the hood.
• Two dedicated tools –
  • CreateFlutterProject creates a project for all default platforms.
  • CreateFlutterProjectForSpecifiedPlatforms allows fine‑grained control over the target platforms.
• Simple MCP integration – The server is a .NET 9 application that can be launched by any MCP client. No custom plugins are required; the tools are exposed through standard JSON payloads.

Why it matters for AI‑driven development

By packaging Flutter’s CLI into MCP, the server becomes a first‑class citizen in an AI workflow. An assistant can now:

1. Interpret natural language requests (“Create a new Flutter app for Android and iOS called ”)
2. Translate them into precise tool calls that invoke the server’s project‑creation logic
3. Return a confirmation or the project path for further actions (e.g., adding dependencies, initializing Git)

This tight coupling between conversational intent and executable tooling streamlines the early stages of app development, letting developers focus on design rather than boilerplate setup.

Real‑world use cases

• Rapid prototyping – Quickly spin up a new Flutter project while discussing feature ideas with an AI partner.
• Onboarding – New team members can ask the assistant to create a starter project without learning CLI syntax.
• CI/CD pipelines – An AI orchestrator can trigger the server to generate a fresh project template before running tests or building releases.
• Educational settings – Instructors can demonstrate Flutter project creation in real time, letting students see the outcome instantly.

Standout advantages

• Zero‑friction integration – Built on .NET 9, the server runs natively on Windows, macOS, and Linux, matching the cross‑platform nature of Flutter itself.
• Explicit platform control – The ability to specify platforms directly in the tool call gives developers fine‑grained command over what gets scaffolded.
• Extensibility – The same MCP framework can be expanded to include other Flutter CLI commands (e.g., , ) without re‑architecting the assistant.

In summary, the Flutter CLI MCP server removes manual boilerplate from the Flutter development cycle and empowers AI assistants to become active participants in project setup. By bridging natural language intent with the concrete actions of , it delivers a smoother, faster, and more error‑free start to any Flutter project.