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Keiver

PROFILE

Keiver

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.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

2Total
Bugs
0
Commits
2
Features
2
Lines of code
3
Activity Months2

Your Network

1213 people

Work History

March 2026

1 Commits • 1 Features

Mar 1, 2026

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

1 Commits • 1 Features

Feb 1, 2026

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.

Activity

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Quality Metrics

Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage50.0%

Skills & Technologies

Programming Languages

Markdown

Technical Skills

AI integrationdocumentationfull stack developmentproject managementweb development

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

punkpeye/awesome-mcp-servers

Feb 2026 Mar 2026
2 Months active

Languages Used

Markdown

Technical Skills

AI integrationfull stack developmentweb developmentdocumentationproject management