MCP.so
ログイン

Earn With AI

@garymengcom

リポジトリ

Earn With AI について

A list of open-source AI projects you can use to generate income easily.

#nlp#open-source#ocr#ai#mcp#ai-agents#deepfake#ai-agent#llm#open-source-ai#mcp-server

基本情報

カテゴリ

その他

ランタイム

python

トランスポート

stdio

公開者

garymengcom

設定

標準の設定はありません

このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

リポジトリ

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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.

コメント

「その他」の他のコンテンツ

Mobile Mcp

mobile-next

Model Context Protocol Server for Mobile Automation and Scraping (iOS, Android, Emulators, Simulators and Real Devices)

5.4K

MCP Registry

modelcontextprotocol

A community driven registry service for Model Context Protocol (MCP) servers.

7.0K

Production-ready MCP integrations for AI applications

Klavis-AI

Klavis AI: MCP integration platforms that let AI agents use tools reliably at any scale

5.8K

Peekaboo MCP – lightning-fast macOS screenshots for AI agents

steipete

Peekaboo is a macOS CLI & optional MCP server that enables AI agents to capture screenshots of applications, or the entire system, with optional visual question answering through local or remote AI models.

4.8K

Mcp

browsermcp

Browser MCP is a Model Context Provider (MCP) server that allows AI applications to control your browser

6.8K