punkpeye/awesome-mcp-servers
Mar 2026 – Mar 2026
1 Month active
Languages Used
Markdown
Technical Skills
3D ModelingAI IntegrationNatural Language Processingdocumentationproject management
unknown
PROFILE
Unknown
Tomoki developed AI-assisted CAD workflow enhancements for the punkpeye/awesome-mcp-servers repository, focusing on integrating natural language processing and 3D modeling within Fusion 360. He built an AI-powered MCP server that translates natural language descriptions into 3D models, streamlining the prototyping process and enabling rapid design iteration. Using skills in AI integration, documentation, and project management, Tomoki also improved project transparency by adding a Glama score badge to the README, making performance metrics more accessible to stakeholders. The work demonstrated technical depth in combining AI and CAD technologies, though the scope was limited to two features over a one-month period.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
3
Activity Months1
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Work History
March 2026
2 Commits • 2 Features
Mar 1, 2026March 2026 focused on delivering AI-assisted CAD workflow enhancements and improving metrics visibility for the MCP servers project. Delivered an AI-powered MCP server that enables natural language descriptions to be converted into Fusion 360 3D models, accelerating design prototyping. Added a Glama score badge to the README to improve visibility of performance metrics. These efforts strengthen business value by speeding modeling tasks, enabling rapid iteration, and increasing stakeholder transparency for the project.
2 Commits • 2 Features
Mar 1, 2026March 2026 focused on delivering AI-assisted CAD workflow enhancements and improving metrics visibility for the MCP servers project. Delivered an AI-powered MCP server that enables natural language descriptions to be converted into Fusion 360 3D models, accelerating design prototyping. Added a Glama score badge to the README to improve visibility of performance metrics. These efforts strengthen business value by speeding modeling tasks, enabling rapid iteration, and increasing stakeholder transparency for the project.
March 2026
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage60.0%
Skills & Technologies
Programming Languages
Markdown
Technical Skills
3D ModelingAI IntegrationNatural Language Processingdocumentationproject management
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