Earn With AI
@garymengcom
About Earn With AI
A list of open-source AI projects you can use to generate income easily.
Basic information
Config
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTools
No tools detected
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is Earn With AI?
Earn With AI is a curated list of AI tools and projects that help you turn open-source into income. It covers tools for autonomous agents, task automation, image generation, LLM deployment, and more, each with a description of monetization opportunities. It is aimed at developers and entrepreneurs seeking to build revenue-generating products from open-source AI.
How to use Earn With AI?
Browse the list of 41 entries, each linked to its GitHub repository with a star count and a monetization-focused description. No installation, configuration, or command-line usage is provided in the README.
Key features of Earn With AI
- Curated list of monetizable open-source AI projects
- Each entry includes GitHub stars and monetization description
- Covers agents, automation, fine-tuning, inference, and more
- Links directly to project repositories for further exploration
Use cases of Earn With AI
- Find tools to build and sell AI-powered SaaS products
- Discover automation projects for recurring revenue streams
- Identify LLM serving and fine-tuning solutions for paid APIs
- Explore image generation and content creation tools for creative monetization
FAQ from Earn With AI
What is Earn With AI?
Earn With AI is a curated list of AI tools and projects that help you turn open-source into income.
How is this list different from other AI resource lists?
Each entry explicitly describes monetization angles (e.g., SaaS, APIs, subscriptions, consulting) rather than just listing project capabilities.
What kind of tools are included?
The list includes autonomous agents (AutoGPT, MetaGPT), LLM deployment (ollama, vllm), image generation (stable-diffusion-webui, ComfyUI), workflow automation (n8n, Flowise), and many others across 41 projects.
Is there a runtime or dependency requirement?
No. The README does not specify any runtime or dependency requirements; each listed project has its own requirements on its GitHub page.
How is the list maintained?
The README does not mention maintenance frequency or update policy; it presents the list as-is at the time of reading.
More Other MCP servers
Inbox Zero AI MCP
elie222The world's best AI personal assistant for email. Open source app to help you reach inbox zero fast.
FastMCP v2 π
jlowinπ The fast, Pythonic way to build MCP servers and clients.

Sequential Thinking
modelcontextprotocolModel Context Protocol Servers
Maestro
mobile-dev-incPainless E2E Automation for Mobile and Web
π Model Context Protocol (MCP) Curriculum for Beginners
microsoftThis open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,
Comments