Moku MCP Server

Moku MCP Server

Enables LLM control of Moku devices through network discovery, connection management, configuration deployment, and signal routing. Supports graceful ownership handoff between different interfaces (CLI, iPad, LLM) for seamless workflow integration.

Category
Visit Server

README

moku-mcp

Model Context Protocol (MCP) server for Moku device control.

Overview

This MCP server provides LLM-friendly tools for controlling Moku devices:

  • Device Discovery: Find Moku devices on the network
  • Connection Management: Attach/detach with graceful ownership handoff
  • Configuration Deployment: Push MokuConfig models to hardware
  • Routing Control: Configure MCC signal routing
  • Metadata Queries: Get device info and slot status

Architecture

Session Model: Stateful connection management

  • attach(device_id) → Connect and maintain ownership
  • detach() → Release ownership (allows iPad/CLI handoff)

Graceful Handoff: Supports common workflow where ownership moves between:

  • Machine A (CLI) → iPad (GUI) → Machine B (LLM) → ...

MokuConfig-Driven: Uses moku-models package for type-safe configuration.

Installation

# Clone repository
git clone https://github.com/sealablab/moku-mcp.git
cd moku-mcp

# Install with uv (recommended)
uv pip install -e .

# Or with pip
pip install -e .

Usage

Running the MCP Server

# Run server via stdio (MCP standard)
python -m moku_mcp

# Or with uv
uv run python -m moku_mcp

Integration with Claude Desktop

Add to your Claude Desktop config file:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json Linux: ~/.config/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "moku": {
      "command": "uv",
      "args": ["run", "python", "-m", "moku_mcp"],
      "cwd": "/path/to/moku-mcp"
    }
  }
}

Using the Session Context Manager

For safe device management with automatic cleanup:

from moku_mcp.session import MokuSession

async def deploy_config_safely(device_id: str, config: dict):
    async with MokuSession(device_id) as moku:
        # Device is automatically connected
        result = await moku.push_config(config)
        # Device is automatically released even if error occurs
        return result

MCP Tools

1. discover_mokus()

Discover Moku devices on network via zeroconf.

Returns: List of devices with IP, name, serial number

2. attach_moku(device_id)

Connect to Moku device and assume ownership.

Args:

  • device_id (str): IP address, device name, or serial number

Returns: Connection status and device metadata

3. release_moku()

Disconnect and release ownership.

Returns: Disconnect status

4. push_config(config)

Deploy MokuConfig to connected device.

Args:

  • config (dict): MokuConfig serialized as dictionary

Returns: Deployment status

Example:

config = {
    "platform": {...},
    "slots": {
        1: {
            "instrument": "CloudCompile",
            "bitstream": "path/to/bitstream.tar"
        }
    },
    "routing": [
        {"source": "Slot1OutA", "destination": "Output1"}
    ]
}

5. get_config()

Retrieve current device configuration.

Returns: MokuConfig as dict

6. set_routing(connections)

Configure MCC signal routing.

Args:

  • connections (list): List of MokuConnection dicts

Example:

connections = [
    {"source": "Input1", "destination": "Slot1InA"},
    {"source": "Slot1OutA", "destination": "Output1"}
]

7. get_device_info()

Query device metadata.

Returns: Dict with name, serial, IP, platform type

8. list_slots()

List configured instrument slots.

Returns: Dict of slot numbers to instrument info

Implementation Status

Core Implementation Complete

All 8 MCP tools are fully implemented:

  • Device discovery via zeroconf
  • Connection management with singleton pattern
  • Configuration deployment (CloudCompile & Oscilloscope)
  • Signal routing configuration
  • Device metadata queries
  • Session context manager for safe cleanup

Development

# Install dev dependencies
uv pip install -e ".[dev]"

# Run tests (when implemented)
pytest

# Format code
black src/
ruff check src/

Dependencies

1st Party:

  • moku-models - Pydantic models for Moku configuration
  • moku - Official Moku hardware API

3rd Party:

  • mcp - Model Context Protocol SDK
  • pydantic - Data validation
  • loguru - Logging
  • zeroconf - Device discovery via mDNS/Bonjour

Next Steps

See IMPLEMENTATION_GUIDE.md for:

  • MCP SDK setup
  • Tool implementation patterns
  • Testing strategies
  • Deployment workflows

License

MIT License - see LICENSE file for details.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured