punkpeye/awesome-mcp-servers
Feb 2026 – Feb 2026
1 Month active
Languages Used
Markdown
Technical Skills
AI integrationcode reviewdocumentationproject managementproject organization
anomie7
PROFILE
Anomie7
During February 2026, Anomie developed and delivered the Selvage LLM-based code review MCP server for the punkpeye/awesome-mcp-servers repository, enabling multi-model AI-assisted code reviews within the MCP framework. Their work focused on integrating AI models to streamline code-quality workflows and reduce review cycle times. Anomie also improved project organization by relocating Selvage documentation to the Developer Tools category and introducing cross-language READMEs in Markdown, enhancing onboarding for developers across different languages. The engineering effort demonstrated depth in AI integration, documentation, and project management, resulting in a more discoverable and accessible developer tooling ecosystem without addressing bug fixes during this period.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
10
Activity Months1
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Work History
February 2026
3 Commits • 2 Features
Feb 1, 2026February 2026: Delivered Selvage LLM-based code review MCP server for the punkpeye/awesome-mcp-servers repository, enabling multi-model AI-assisted code reviews within the MCP framework. Implemented documentation improvements by relocating Selvage to the Developer Tools category and adding cross-language READMEs, enhancing discoverability and onboarding for developers across languages. These changes streamline code-quality workflows, reduce review cycle times, and strengthen the tooling ecosystem around the MCP server.
3 Commits • 2 Features
Feb 1, 2026February 2026: Delivered Selvage LLM-based code review MCP server for the punkpeye/awesome-mcp-servers repository, enabling multi-model AI-assisted code reviews within the MCP framework. Implemented documentation improvements by relocating Selvage to the Developer Tools category and adding cross-language READMEs, enhancing discoverability and onboarding for developers across languages. These changes streamline code-quality workflows, reduce review cycle times, and strengthen the tooling ecosystem around the MCP server.
February 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage66.6%
Skills & Technologies
Programming Languages
Markdown
Technical Skills
AI integrationcode reviewdocumentationproject managementproject organization
Repositories Contributed To
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