laramarcodes/dizzy-rose-vicuna-enhanced

Dizzy Rose Vicuna Enhanced MCP Server

An enhanced MCP server that acts as a data exchange bridge between Claude and Poke.

Features

• Data Storage: Key-value store for sharing data between Claude and Poke
• Message Queue: Asynchronous messaging system with channels and priorities
• Command Queue: Queue commands for Poke to execute with status tracking
• Statistics: Real-time server statistics and monitoring
• Backward Compatible: Maintains original echo functionality

Available Tools

• echo_tool - Echo back text (original functionality)
• store_data - Store data with a key
• get_data - Retrieve data by key
• list_keys - List all stored keys with optional prefix filter
• push_message - Send a message to a channel
• pull_messages - Retrieve messages from a channel
• queue_command - Queue a command for execution
• get_pending_commands - Get pending commands
• update_command_status - Update command execution status
• clear_data - Clear stored data with optional pattern matching
• get_server_stats - Get server statistics

Resources

• data://store - View entire data store
• data://messages - View message queue
• data://commands - View command queue
• echo://static - Static echo resource

Deployment

This server is designed to be deployed on FastMCP Cloud.

Entrypoint

server.py:server

Authentication

Configure based on your needs:

• Public: Anyone can connect
• Private: Only organization members can connect

Usage Example

From Claude

# Store data for Poke
await store_data("task_data", {"action": "process", "data": [1,2,3]})

# Send message to Poke
await push_message("poke_channel", "New task available", priority="high")

# Queue command
await queue_command("screenshot", {"region": "full"})

From Poke

# Get messages
messages = await pull_messages("poke_channel")

# Get shared data
data = await get_data("task_data")

# Get and execute commands
commands = await get_pending_commands()
for cmd in commands:
    # Execute command
    result = execute(cmd)
    # Update status
    await update_command_status(cmd["id"], "completed", result)

Architecture

Claude <--> Dizzy MCP Server <--> Poke

The server acts as a persistent data bridge, allowing asynchronous communication and task delegation between Claude and Poke.