
Kiverh developed and integrated a full-resolution image tiling and web page capture server within the punkpeye/awesome-mcp-servers repository, enabling scalable image processing pipelines for LLM workflows. Leveraging AI integration and full stack web development skills, Kiverh implemented per-model token calculations and entropy-based tile classification to optimize resource usage across Claude, OpenAI, and Gemini model presets. The work included enhancing documentation using Markdown to improve onboarding and user discoverability, notably by adding direct links to related servers in the project README. Over two months, Kiverh delivered two features, demonstrating depth in both backend engineering and project documentation hygiene.
Month: 2026-03 Key features delivered: - Improve Discoverability of Glama Image Tiler MCP Server: Added a direct Glama server link to the punkpeye/awesome-mcp-servers README to enhance visibility and accessibility for users exploring the image tiler MCP server. Commit: 4d92871ab5f1ae6f9fe116778743f531d05ce131. Major bugs fixed: - None this month. Overall impact and accomplishments: - Increased discoverability for the Glama MCP server, reducing onboarding friction and improving user engagement by centralizing MCP server references. Technologies/skills demonstrated: - Git version control, Markdown README updates, documentation hygiene, and cross-linking to improve user onboarding and navigation.
Month: 2026-03 Key features delivered: - Improve Discoverability of Glama Image Tiler MCP Server: Added a direct Glama server link to the punkpeye/awesome-mcp-servers README to enhance visibility and accessibility for users exploring the image tiler MCP server. Commit: 4d92871ab5f1ae6f9fe116778743f531d05ce131. Major bugs fixed: - None this month. Overall impact and accomplishments: - Increased discoverability for the Glama MCP server, reducing onboarding friction and improving user engagement by centralizing MCP server references. Technologies/skills demonstrated: - Git version control, Markdown README updates, documentation hygiene, and cross-linking to improve user onboarding and navigation.
February 2026 monthly summary for punkpeye/awesome-mcp-servers. Focused on delivering a new MCP server for full-resolution image tiling and Chrome CDP-based web page capture to support LLM workflows. The feature enables processing with multiple AI model presets (Claude, OpenAI, Gemini) with per-model token calculations and entropy-based tile classification, improving scalability and resource usage for image-based inputs. Business value includes end-to-end image processing pipelines for AI-assisted analyses, reduced preprocessing overhead, and improved model selection.
February 2026 monthly summary for punkpeye/awesome-mcp-servers. Focused on delivering a new MCP server for full-resolution image tiling and Chrome CDP-based web page capture to support LLM workflows. The feature enables processing with multiple AI model presets (Claude, OpenAI, Gemini) with per-model token calculations and entropy-based tile classification, improving scalability and resource usage for image-based inputs. Business value includes end-to-end image processing pipelines for AI-assisted analyses, reduced preprocessing overhead, and improved model selection.

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