Developed and documented a Model Context Protocol (MCP) integration enabling Large Language Models to interact with Raindrop.io bookmarks and collections. The work, delivered across the punkpeye/awesome-mcp-servers and modelcontextprotocol/servers repositories, included full stack development of the MCP feature and comprehensive documentation to support developer onboarding and integration discoverability. Leveraging skills in AI and API integration, the developer focused on Markdown-based documentation and code-level traceability, ensuring that new features were clearly communicated and accessible. The contributions addressed integration challenges by providing both implementation and knowledge sharing, facilitating faster adoption of Raindrop.io MCP capabilities within the LLM ecosystem.