appiq-memory-mcp

Viktor-Hermann/appiq-memory-mcp

3.1

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The AppIQ Memory MCP Server is a comprehensive memory and coordination system designed for Flutter agent workflows, providing full transparency and persistent context across sessions.

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AppIQ Memory MCP Server

🧠 Complete memory and coordination system for Flutter agent workflows with full transparency

The AppIQ Memory MCP Server provides complete visibility and coordination for Flutter development agents, enabling transparent task delegation, progress tracking, and persistent context across sessions.

🚀 Quick Start

Install via Smithery.ai (Recommended)

npm create smithery @appiq/memory-mcp-server

Configure Claude Code

Add to your ~/.claude.json file:

{
  "mcpServers": {
    "appiq-memory": {
      "command": "npx",
      "args": ["@appiq/memory-mcp-server"]
    }
  }
}

Restart Claude Code

After configuration, restart Claude Code to load the MCP server.

🎯 Features

📊 Complete Agent Transparency

  • See exactly which agents are active
  • Track task delegations between agents
  • Monitor real-time progress of all work
  • View complete activity history

🔄 Task Delegation Tracking

  • Log when feature-manager delegates to other agents
  • Track task types, descriptions, and priorities
  • Monitor expected completion times
  • View delegation chains and dependencies

📈 Progress Management

  • Track individual task progress (0-100%)
  • Monitor feature development phases
  • Identify blockers and active agents
  • Calculate completion rates

🧠 Persistent Context

  • Agents remember previous work across sessions
  • Complete project context available to all agents
  • No lost context between Claude Code restarts
  • Seamless coordination between multiple agents

🛠️ Available MCP Tools

Core Activity Logging

  • log_agent_activity - Log all agent actions and tasks
  • log_task_delegation - Track task handoffs between agents
  • track_task_progress - Monitor task completion status

Status & Context

  • get_memory_status - View current memory and activity status
  • get_full_context - Get complete project context for agents
  • update_feature_progress - Update overall feature development

🎯 Use Cases

Flutter Development Coordination

Perfect for coordinating multiple specialized agents:

  • feature-manager - Orchestrates complete workflows
  • po-agent - Handles requirements analysis
  • ui-agent - Manages UI/UX development
  • cubit-agent - Implements state management
  • data-agent - Develops data layers

Bug Fix Coordination

Track and coordinate bug fixes across multiple agents:

  • Parse bug lists into distributed tasks
  • Monitor parallel agent execution
  • Track completion status in real-time

Feature Development Transparency

Complete visibility into feature development:

  • See which agents are working on what
  • Track progress across all development phases
  • Maintain context between development sessions

📊 How It Works

  1. Automatic Integration: Agents automatically use MCP tools when available
  2. Cloud-Based: No local daemon or installation required
  3. Transparent: Every action is logged and visible
  4. Persistent: Context survives between sessions and restarts

🔧 Technical Details

Architecture

  • Built on Model Context Protocol (MCP) standard
  • Cloud-based memory storage (no local files)
  • Multi-project support with automatic project detection
  • Optimized for performance with activity history limits

Requirements

  • Node.js 16+
  • Claude Code with MCP support
  • Compatible with all AppIQ Flutter agents

Data Management

  • Activities: Last 100 entries stored
  • Delegations: Last 50 entries stored
  • Tasks: All active tasks maintained
  • Features: Current state of all features

🚀 Integration with AppIQ Flutter Workflow

This MCP server is designed to work seamlessly with the AppIQ Flutter Workflow system:

  1. Install AppIQ agents in your Flutter project
  2. Add this MCP server to Claude Code
  3. Agents automatically gain full transparency and memory
  4. Complete coordination and progress tracking enabled

Install AppIQ Agents

# Clone or download AppIQ Flutter Workflow
./install-to-project.sh /path/to/your/flutter/project

📚 Examples

Basic Status Check

// Agent automatically calls:
get_memory_status({
  includeHistory: true,
  includeAgentDetails: true
})

Task Delegation Logging

// Feature-manager automatically logs:
log_task_delegation({
  fromAgent: "feature-manager",
  toAgent: "ui-agent", 
  taskType: "ui-design",
  taskDescription: "Create responsive login screen",
  priority: "high"
})

Progress Tracking

// Agents automatically track progress:
track_task_progress({
  taskId: "login-ui",
  status: "completed",
  progress: 100,
  agent: "ui-agent"
})

🤝 Contributing

We welcome contributions! Please see our main repository for guidelines:

📄 License

MIT License - see LICENSE file for details

🆘 Support

Built with ❤️ by the AppIQ Workflow Team

Making Flutter development transparent, coordinated, and efficient.