punkpeye/awesome-mcp-servers
Jun 2025 – Jul 2025
2 Months active
Languages Used
Markdown
Technical Skills
API integrationdocumentationproject managementAI integrationdesign systems
graslt
PROFILE
Graslt
During a two-month period, Tomáš Grasl focused on enhancing documentation and integration workflows within the punkpeye/awesome-mcp-servers repository. He delivered multilingual README updates to surface the Freema MCP-GSheets integration, clarifying its Google Sheets API capabilities and streamlining onboarding for new contributors. In the following month, Tomáš documented the freema/mcp-design-system-extractor, enabling AI-driven extraction of component data from Storybook design systems and supporting cross-language collaboration. His work emphasized Markdown-based documentation, API integration, and project management, resulting in improved maintainability and discoverability. The updates demonstrated careful change management and effective knowledge transfer, though the scope remained limited to documentation and onboarding improvements.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
13
Activity Months2
Your Network
826 people
Work History
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for punkpeye/awesome-mcp-servers: Delivered targeted documentation updates to enable AI-driven extraction of component data from Storybook design systems via freema/mcp-design-system-extractor. The feature focuses on cross-language READMEs to improve onboarding, consistency, and tooling support. No major bugs fixed this month. Impact: higher maintainability, better cross-language collaboration, and stronger support for AI-assisted design-system analysis. Technologies/skills demonstrated: documentation, multi-language repo maintenance, design-system tooling awareness, and cross-team collaboration.
1 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for punkpeye/awesome-mcp-servers: Delivered targeted documentation updates to enable AI-driven extraction of component data from Storybook design systems via freema/mcp-design-system-extractor. The feature focuses on cross-language READMEs to improve onboarding, consistency, and tooling support. No major bugs fixed this month. Impact: higher maintainability, better cross-language collaboration, and stronger support for AI-assisted design-system analysis. Technologies/skills demonstrated: documentation, multi-language repo maintenance, design-system tooling awareness, and cross-team collaboration.
July 2025
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary: Focused on documenting integration capabilities and improving developer onboarding for Freema MCP-GSheets within the punkpeye/awesome-mcp-servers repository. Key feature delivered: multilingual README updates highlighting the Freema MCP-GSheets integration and its Google Sheets API capabilities across language-specific READMEs. No major bugs fixed this month. Overall impact: enhanced discoverability and usability of the integration, reducing onboarding time for new contributors and partners while preserving system stability. Technologies/skills demonstrated: documentation localization, cross-language README curation, careful change management with a single committed update, and collaboration across language teams.
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary: Focused on documenting integration capabilities and improving developer onboarding for Freema MCP-GSheets within the punkpeye/awesome-mcp-servers repository. Key feature delivered: multilingual README updates highlighting the Freema MCP-GSheets integration and its Google Sheets API capabilities across language-specific READMEs. No major bugs fixed this month. Overall impact: enhanced discoverability and usability of the integration, reducing onboarding time for new contributors and partners while preserving system stability. Technologies/skills demonstrated: documentation localization, cross-language README curation, careful change management with a single committed update, and collaboration across language teams.
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage60.0%
Skills & Technologies
Programming Languages
Markdown
Technical Skills
AI integrationAPI integrationdesign systemsdocumentationproject management
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