Developed and documented a natural language query (NLQ) capability for MCP servers, focusing on both the punkpeye/awesome-mcp-servers and modelcontextprotocol/servers repositories. The work centered on integrating database access through NLQ interfaces and providing comprehensive Markdown documentation to clarify usage and product value. Emphasizing technical writing and cross-repository alignment, the developer established a consistent narrative for NLQ data retrieval, enabling faster customer onboarding and evaluation. By prioritizing documentation-driven product storytelling, the project laid the foundation for improved customer support and go-to-market readiness, leveraging skills in database integration, natural language processing, and technical writing to support future implementation efforts.