Developed and documented new MCP server capabilities for the .faf format in the modelcontextprotocol/servers repository, focusing on context scoring and project context management to support scalable, context-aware processing. Leveraged AI integration and server management skills to implement a dedicated MCP server, enabling persistent project context handling and improved tooling for onboarding. Authored comprehensive Markdown documentation in punkpeye/awesome-mcp-servers, detailing the claude-faf-mcp project’s features and scoring tools. The work emphasized robust context management and project organization, facilitating cross-repository collaboration and persistent data workflows. No major bugs were reported, reflecting a stable and well-structured approach to feature delivery and documentation.