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MHS projects

Standards, drivers, integrations, and agent-to-hardware infrastructure.

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MHS
pollen-robotics GitHub avatar

pollen-robotics

microduck

A Tiny biped duck robot 🦆

RoboticsRobot Learning
Rust8K970
MHS
Hugging Face GitHub avatar

Hugging Face

LeRobot

An open-source library for end-to-end robot learning and real-world robotics.

Robot LearningRobotics
Python27.4K5.6K
MHS
Strands Labs GitHub avatar

Strands Labs

Strands Robots

Control robots and physical hardware with natural language through Strands Agents.

RoboticsRobot Learning
Python15635
MHS
Strands Labs GitHub avatar

Strands Labs

Strands Robots Sim

Simulated environments for robot agent evaluation and reinforcement learning.

SimulationRobot Learning
Python3410

Open hardware

Robots, arms, humanoids, and edge devices built for AI control.

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Hardware

KiCad to Blender 3D model workflow

PCB/电路板开源硬件(通用)
Python77525
Hardware
Redherring32 GitHub avatar

Redherring32

OpenTendo

An Open-Source HardWare (OSHW) recreation of the original 1985 front-loading NES Motherboard

开源硬件(通用)
KiCad Layout84581
Hardware
OSCC-Project GitHub avatar

OSCC-Project

iEDA

An open-source EDA infrastructure and tools from netlist to GDS

EDA工具
C++54471
Hardware
LibrePCB GitHub avatar

LibrePCB

LibrePCB

A powerful, innovative and intuitive EDA suite for everyone!

EDA工具PCB/电路板
C++3K338

MCP servers

Servers that give models and agents access to tools, data, and hardware APIs.

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Data807

A Model Context Protocol server for Excel file manipulation

mcpautomationtoolcallingexcel
2025-04-12
Reference Servers48.1K
modelcontextprotocol GitHub avatar

modelcontextprotocol

Fetch MCP Server

Model Context Protocol Servers

Reference Servers
2025-04-12
Database272

A Model Context Protocol server for document Q&A powered by Langflow . It demonstrates core MCP concepts by providing a simple interface to query documents through a Langflow backend.

Community Servers
2025-04-12
Development9.8K

Connect APIs, remarkably fast. Free for developers.

golangautomationintegration-flowtypescript
2025-05-19

STACK

How Model, Agent, MCP, and Hardware fit together

Three short views explain what MHS standardizes and how it complements MCP.

MODEL → AGENT → HARDWARE

From model reasoning to physical action

A model understands the goal. An agent plans and calls tools. Hardware senses and acts in the real world. MHS aims to make that last connection consistent and understandable.

  • Model interprets context and constraints
  • Agent chooses and checks actions
  • Hardware executes within physical limits
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FAQ

Model Hardware Standard questions

Straight answers about MHS, MCP, agents, and open AI hardware.

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Get noteworthy Model Hardware Standard, AI hardware, and MCP additions.