Make Money With AI acts as a curated MCP server that surfaces a comprehensive list of AI tools and projects you can leverage to build monetizable workflows, SaaS products, and services. The server effectively aggregates and exposes the AI tooling landscape, enabling you to discover, compare, and prototype monetization strategies around autonomous agents, AI-powered workflows, prompts, and integrations. Use the server to explore popular tooling categories, read concise summaries, and identify potential implementations for your own AI-driven offerings. Depending on how the instance is deployed, you may be able to query for tools by category, output format, or monetization potential, and then generate tailored workflow ideas or integration plans to accelerate go-to-market efforts.

Prerequisites:

• Node.js (recommended latest LTS) and npm/yarn installed.
• Internet connection for fetching the MCP server image or package.

Option A: Run via npx (recommended for quick start)

1. Ensure Node.js and npm are installed: node -v npm -v
2. Run the MCP server directly with npx (this pulls the package temporarily to run): npx -y garylab/makemoneywithai
3. The server should start and expose its endpoints according to its internal configuration. Follow on-screen guidance or default port instructions.

Option B: Install from a repository (if you clone the source)

1. Clone the repository (if available): git clone https://github.com/garylab/makemoneywithai.git cd makemoneywithai
2. Install dependencies: npm install
3. Start the server: npm run start

   or: node path/to/server.js

Option C: Run via npm package directly (if published as a package)

1. Install the package globally or locally: npm install -g garylab/makemoneywithai
2. Start the server as documented by the package (commonly): makemoneywithai

Note: If the MCP server exposes an API, you may need to configure host/port and authentication tokens. Refer to any provided README or docs in the repository for environment-specific steps.

Tips and considerations:

• If you use the npx approach, ensure you have a stable internet connection for initial fetch; subsequent runs may reuse cached content.
• Some MCP servers expose a public API; consider adding an API key or bearer token in env to restrict access.
• Check for environment variables related to data sources, monetization hooks, or marketplace integrations if you plan to automate workflows.
• If you encounter rate limits or slow responses, try pinning to a specific version or using a local cache layer.
• Ensure you comply with licensing terms of the curated projects listed in the server output; some tools may have commercial licensing implications.
• Update cadence: periodically refresh the server data to reflect new tools, integrations, and monetization opportunities.