punkpeye/awesome-mcp-servers
Feb 2026 – Mar 2026
2 Months active
Languages Used
Markdown
Technical Skills
GPU programminganomaly detectiondata analysisdata sciencedocumentationversion control
Greg Partin
PROFILE
Greg Partin
During a two-month period, Greg Partin developed and integrated advanced anomaly detection and documentation features for the punkpeye/awesome-mcp-servers repository. He built WaveGuard, a GPU-accelerated anomaly detector leveraging Klein-Gordon wave equations to identify anomalies in both vector and time-series data, expanding the repository’s data science capabilities. Greg enhanced documentation using Markdown, improving onboarding with a multilingual Persian README, a contribution guide, and updated integration links. His work emphasized high-precision analytics, robust version control, and community engagement, resulting in a more accessible and enterprise-ready open-source project. The engineering demonstrated depth in GPU programming, data analysis, and open-source collaboration.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
6Total
Bugs
0
Commits
6
Features
3
Lines of code
7,144
Activity Months2
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Work History
March 2026
2 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary focusing on delivering business value through improved discoverability, onboarding, and up-to-date integration docs for the punkpeye/awesome-mcp-servers repository. Key feature delivered: Glama Resource Listing and Documentation Enhancements, including a new listing link, a contribution guide, a license file, and a Persian README to broaden audience. Additionally, the CryptoGuardClient README was updated to reflect the correct Glama server listing URL, ensuring users access the latest integration information. No major bugs fixed this month. Impact and accomplishments: - Increased visibility and accessibility for contributors and users by adding comprehensive documentation and a multilingual README. - Reduced onboarding friction with a clear contribution guide and license information, enabling faster pull requests and community engagement. - Ensured alignment with maintainer requirements and up-to-date integration guidance by refreshing related README references. Technologies/skills demonstrated: - Documentation hygiene and open-source contribution processes - Internationalization considerations with Persian README - Version-controlled doc updates and URL accuracy for an enterprise-ready integration flow.
2 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary focusing on delivering business value through improved discoverability, onboarding, and up-to-date integration docs for the punkpeye/awesome-mcp-servers repository. Key feature delivered: Glama Resource Listing and Documentation Enhancements, including a new listing link, a contribution guide, a license file, and a Persian README to broaden audience. Additionally, the CryptoGuardClient README was updated to reflect the correct Glama server listing URL, ensuring users access the latest integration information. No major bugs fixed this month. Impact and accomplishments: - Increased visibility and accessibility for contributors and users by adding comprehensive documentation and a multilingual README. - Reduced onboarding friction with a clear contribution guide and license information, enabling faster pull requests and community engagement. - Ensured alignment with maintainer requirements and up-to-date integration guidance by refreshing related README references. Technologies/skills demonstrated: - Documentation hygiene and open-source contribution processes - Internationalization considerations with Persian README - Version-controlled doc updates and URL accuracy for an enterprise-ready integration flow.
March 2026
February 2026
4 Commits • 2 Features
Feb 1, 2026February 2026 monthly summary for punkpeye/awesome-mcp-servers. Key delivery: WaveGuard, a GPU-accelerated anomaly detector using Klein-Gordon wave equations to provide robust anomaly detection across data types (vectors and time-series). This work expands the Data Science Tools suite and strengthens cross-tool analytics within the MCP servers workflow. Documentation and integration updates for WaveGuard and Glama were completed to improve clarity, emphasize high precision, and ensure correct linking (including v3.0.0 and Glama integration). Overall, the month delivered GPU-accelerated analytics capability, improved developer experience, and clearer cross-tool integration.
February 2026
4 Commits • 2 Features
Feb 1, 2026February 2026 monthly summary for punkpeye/awesome-mcp-servers. Key delivery: WaveGuard, a GPU-accelerated anomaly detector using Klein-Gordon wave equations to provide robust anomaly detection across data types (vectors and time-series). This work expands the Data Science Tools suite and strengthens cross-tool analytics within the MCP servers workflow. Documentation and integration updates for WaveGuard and Glama were completed to improve clarity, emphasize high precision, and ensure correct linking (including v3.0.0 and Glama integration). Overall, the month delivered GPU-accelerated analytics capability, improved developer experience, and clearer cross-tool integration.
Activity
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Quality Metrics
Correctness100.0%
Maintainability96.6%
Architecture100.0%
Performance100.0%
AI Usage26.6%
Skills & Technologies
Programming Languages
Markdown
Technical Skills
GPU programminganomaly detectioncommunity engagementdata analysisdata sciencedocumentationlink managementopen source contributionversion control
Repositories Contributed To
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