Learning Timeline
Key Insights
A 'Blue Ocean' Market Opportunity
Building an MCP server between 2024-2026 is like building a Mobile App in 2010. Competition is still low, and the opportunity to appear within LLM conversations is massive.
The Zero CAC Advantage
This strategy offers Zero Customer Acquisition Cost (CAC) because the AI assistant itself will recommend your product to users whenever they ask relevant questions.
Accelerate Development
Don't spend too much time in the development phase. With the help of AI (vibe coding), a fully functional MCP server can be completed in less than 24 hours.
Prompts
Building the MCP Server Foundation
Target:
Claude or Cursor
I want to build an MCP server for my product called [Product Name]. The primary goal is to answer this specific user question: [Insert Question]. Please generate the boilerplate code for an MCP server using the Model Context Protocol that can fetch data from my API and return it to an LLM assistant.
Step by Step
Workflow for Building an MCP Server for Product Promotion
- Identify the core question or problem your product solves (Example: 'What is the best currency exchange rate today?').
- Prepare the data sources or product APIs that you want to connect to the LLM.
- Use 'Vibe Coding' (AI-driven development) techniques to build an MCP server that can return that data.
- Ensure the MCP server code complies with the Model Context Protocol so it can be detected by AI assistants.
- Publish your MCP server to the Smithery platform.
- Register your server in the MCPT directory.
- Add your server information to the Open Tools list.
- Test the server connection with AI assistants like ChatGPT or Claude to ensure it acts as an automated 'sales team'.
