내광성-mcp

lightfast-mcp - MCP Server Implementations for Creative Applications

Production-ready MCP server implementations for creative applications - Control Blender and other creative tools through the Model Context Protocol.

Lightfast MCP provides reliable, well-tested MCP server implementations for creative applications, with optional management and AI client tools.

🎯 Core MCP Servers

🎨 Blender MCP Server: Control Blender through MCP protocol for 3D modeling, animation, and rendering
🧪 Mock MCP Server: Testing and development server for MCP protocol validation

🔧 Optional Features

Multi-Server Orchestration: Run and coordinate multiple MCP servers simultaneously
AI Integration: Built-in AI tools for testing and interacting with servers
Configuration-Driven: YAML/JSON configuration for easy server management
Flexible Transport: Support for both stdio and HTTP-based transports

Protocol Compliance

Lightfast MCP strictly adheres to the official Model Context Protocol specification. This ensures compatibility with all MCP clients and provides a standardized way for AI models to interact with creative applications.

For more information about the Model Context Protocol, including core concepts, resources, prompts, tools, and sampling, please refer to the official MCP documentation.

Installation

Python 3.10 or newer
uv package manager

If you're on Mac, please install uv as

brew install uv

On Windows

powershell -c "irm https://astral.sh/uv/install.ps1 | iex" 

and then

set Path=C:\Users\nntra\.local\bin;%Path%

Otherwise installation instructions are on their website: Install uv

Development

For development setup, workflow information, and Cursor IDE integration, please see our Developer Guide.

Documentation

For comprehensive documentation, examples, and guides, please visit our documentation site.

Contributing

We welcome contributions from the community! Whether you want to add support for a new creative application, improve existing implementations, or enhance documentation, please feel free to submit a pull request.

See our Contributing Guide for more information on how to get started.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Disclaimer

This is a community-driven project. The integrations provided are third-party and not officially made or endorsed by the respective software vendors.

Quick Start

🎯 Core Usage (MCP Servers Only)

# Install core package
pip install lightfast-mcp

# Run individual servers
lightfast-blender-server    # Blender MCP server
lightfast-mock-server       # Mock MCP server for testing

🔧 Development Tools (Orchestration + AI)

# Install with development tools
pip install lightfast-mcp[tools]

# Multi-server orchestration
lightfast-mcp-orchestrator init
lightfast-mcp-orchestrator start

# AI integration for testing
lightfast-mcp-ai chat

🧪 Development

# Development setup
uv pip install -e ".[dev]"
nox  # Run tests

For comprehensive development documentation, testing guide, and architecture details, see DEV.md.

This server cannot be installed

security - not tested

license - permissive license

quality - not tested

How are these scores calculated?

local-only server

The server can only run on the client's local machine because it depends on local resources.

Blender 및 Adobe Creative Suite와 같은 크리에이티브 애플리케이션을 Model Context Protocol을 통해 AI 모델에 연결하여 이러한 도구 내에서 AI 기반 생성, 조작 및 자동화를 구현합니다.

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