Flutter MCP Server

0
0 Reviews
1 Stars
The Flutter MCP Server is an open-source implementation of the Model Context Protocol tailored for Dart & Flutter. It provides a secure, programmable API to invoke SDK tools such as analyze, format, create, run, and test, facilitating AI integration, automation, and remote development workflows. It supports resource querying like documentation and community examples, making it ideal for enhancing productivity and automation in Flutter projects.
Added on:
Created by:
Apr 24 2025
Flutter MCP Server

Flutter MCP Server

0 Reviews
1
0
Flutter MCP Server
The Flutter MCP Server is an open-source implementation of the Model Context Protocol tailored for Dart & Flutter. It provides a secure, programmable API to invoke SDK tools such as analyze, format, create, run, and test, facilitating AI integration, automation, and remote development workflows. It supports resource querying like documentation and community examples, making it ideal for enhancing productivity and automation in Flutter projects.
Added on:
Created by:
Apr 24 2025
Centinol
Featured

What is Flutter MCP Server?

The Flutter MCP Server acts as a bridge between AI assistants, developer tools, and automated workflows within the Dart and Flutter ecosystem. It exposes core SDK functionalities such as code analysis, formatting, project scaffolding, testing, and execution through programmable endpoints using the MCP protocol. Designed for secure and efficient remote integration, it manages environment variables securely and supports resource endpoints for documentation and community resources. Deployment options include local setup with Dart or Docker, and cloud deployment via Smithery. It aims to automate repetitive development tasks, standardize tool invocation, and enable AI-driven workflows across CI/CD pipelines, making Flutter and Dart development more automated, efficient, and integrated with AI tools.

Who will use Flutter MCP Server?

  • Flutter developers
  • Dart developers
  • AI automation engineers
  • CI/CD pipeline managers

How to use the Flutter MCP Server?

  • Step 1: Clone the repository and install dependencies with 'dart pub get'.
  • Step 2: Configure environment variables by copying '.env.example' to '.env' and setting secrets.
  • Step 3: Run the server locally with 'dart run bin/flutter_mcp_server.dart' or build with Docker.
  • Step 4: Integrate with clients like Windsurf or Cursor by adding server configuration.
  • Step 5: Use the exposed endpoints for automation tasks such as code analysis, formatting, or testing.

Flutter MCP Server's Core Features & Benefits

The Core Features
  • Invoke analyze, format, fix, create, run, test commands
  • Query documentation, news, community examples
  • Secure management of environment variables
  • Resource resource endpoints for docs and community
  • Docker build and deployment support
The Benefits
  • Automates repetitive Flutter/Dart development tasks
  • Enables remote and AI-driven workflows
  • Provides a standardized, secure API for DevOps processes
  • Supports integration with cloud and CI/CD pipelines
  • Flexibly extensible for adding new tools and resources

Flutter MCP Server's Main Use Cases & Applications

  • Automating code analysis and formatting in CI/CD pipelines
  • Remote invocation of Dart/Flutter SDK commands for AI-enabled development
  • Integration with AI assistants for automated project scaffolding and testing
  • Resource querying for documentation and community content

FAQs of Flutter MCP Server

Developer

You may also like:

Developer Tools

A desktop application for managing server and client interactions with comprehensive functionalities.
A Model Context Protocol server for Eagle that manages data exchange between Eagle app and data sources.
A chat-based client that integrates and uses various MCP tools directly within a chat environment for enhanced productivity.
A Docker image hosting multiple MCP servers accessible through a unified entry point with supergateway integration.
Provides access to YNAB account balances, transactions, and transaction creation through MCP protocol.
A fast, scalable MCP server for managing real-time multi-client Zerodha trading operations.
A remote SSH client facilitating secure, proxy-based access to MCP servers for remote tool utilization.
A Spring-based MCP server integrating AI capabilities for managing and processing Minecraft mod communication protocols.
A minimalistic MCP client with essential chat features, supporting multiple models and contextual interactions.
A secure MCP server enabling AI agents to interact with Authenticator App for 2FA codes and passwords.

Research And Data

A server implementation supporting Model Context Protocol, integrating CRIC's industrial AI capabilities.
Provides real-time traffic, air quality, weather, and bike-sharing data for Valencia city in a unified platform.
A React application demonstrating integration with Supabase via MCP tools and Tambo for UI component registration.
A MCP client integrating Brave Search API for web searches, utilizing MCP protocol for efficient communication.
A protocol server enabling seamless communication between Umbraco CMS and external applications.
NOL integrates LangChain and Open Router to create a multi-client MCP server using Next.js
Connects LLMs to Firebolt Data Warehouse for autonomous querying, data access, and insight generation.
A client framework for connecting AI agents to MCP servers, enabling tool discovery and integration.
Spring Link facilitates linking and managing multiple Spring Boot applications efficiently within a unified environment.
An open-source client to interact with multiple MCP servers, enabling seamless tool access for Claude.

AI Chatbot

Integrates APIs, AI, and automation to enhance server and client functionalities dynamically.
Provides long-term memory for LLMs by storing and retrieving contextual information via MCP standards.
An advanced clinical evidence analysis server supporting precision medicine and oncology research with flexible search options.
A platform collecting A2A agents, tools, servers, and clients for effective agent communication and collaboration.
A Spring-based chatbot for Cloud Foundry that integrates with AI services, MCP, and memGPT for advanced capabilities.
An AI agent controlling macOS using OS-level tools, compatible with MCP, facilitating system management via AI.
PHP client library enabling interaction with MCP servers via SSE, StdIO, or external processes.
A platform for managing and deploying autonomous agents, tools, servers, and clients for automation tasks.
Enables interaction with powerful Text to Speech and video generation APIs for multimedia content creation.
An MCP server providing API access to RedNote (XiaoHongShu, xhs) for seamless integration.