punkpeye/awesome-mcp-servers
May 2025 – May 2025
1 Month active
Languages Used
Markdown
Technical Skills
AI integrationAPI integrationGitdocumentationevent managementlocalization
Arley Daniel Peter
PROFILE
Arley Daniel Peter
During May 2025, Alex Peter expanded the Cal.com MCP server integration documentation for the punkpeye/awesome-mcp-servers repository, focusing on event types, appointment scheduling data, and support for LLM-based calendar data. Alex used Markdown and Git to iteratively update the core README and create localized documentation in English, Portuguese, Japanese, Korean, and Chinese variants, improving accessibility for a global developer audience. The work emphasized clear API integration details and robust onboarding guidance, addressing both technical depth and localization needs. By managing documentation and event management workflows, Alex ensured the repository’s integration instructions were comprehensive, up-to-date, and ready for multilingual adoption.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
7Total
Bugs
0
Commits
7
Features
1
Lines of code
0
Activity Months1
Your Network
814 peopleSame Organization
@fau.edu2
Work History
May 2025
7 Commits • 1 Features
May 1, 2025May 2025: Expanded Cal.com MCP server integration documentation for punkpeye/awesome-mcp-servers, covering event types, appointments, scheduling data, and LLM-based calendar data support, with multi-language coverage (English, Portuguese -pt-BR, Japanese, Korean) and Chinese variants. Updated core README and locale READMEs to improve developer onboarding and integration reliability.
7 Commits • 1 Features
May 1, 2025May 2025: Expanded Cal.com MCP server integration documentation for punkpeye/awesome-mcp-servers, covering event types, appointments, scheduling data, and LLM-based calendar data support, with multi-language coverage (English, Portuguese -pt-BR, Japanese, Korean) and Chinese variants. Updated core README and locale READMEs to improve developer onboarding and integration reliability.
May 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage54.2%
Skills & Technologies
Programming Languages
Markdown
Technical Skills
AI integrationAPI integrationGitdocumentationevent managementlocalizationreadme management
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