punkpeye/awesome-mcp-servers
Mar 2026 – Mar 2026
1 Month active
Languages Used
MarkdownRust
Technical Skills
AI integrationdata extractiondocumentationproject managementweb scraping
Valerio
PROFILE
Valerio
Massimiani Valerio developed WebClaw Core for the punkpeye/awesome-mcp-servers repository, focusing on scalable AI-driven web data extraction. He implemented a Rust-based MCP server that packaged ten distinct tools for scraping, crawling, and summarizing web content, enabling efficient data extraction workflows for AI agents. His work emphasized robust project documentation, including the addition of a Glama score badge to the README to improve performance metric visibility. Leveraging skills in Rust, Markdown, and project management, Massimiani laid the foundation for seamless AI integration by delivering well-documented, modular extraction capabilities, though the short timeframe limited the breadth of features and bug fixes.
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: Delivered WebClaw Core features for AI-driven web data extraction and enhanced project visibility. Implemented a Rust-based MCP server with 10 extraction tools and added a Glama score badge to the README. No major bugs fixed this month; focus was on delivering scalable data extraction capabilities and improving metrics visibility, enabling faster AI integration and more transparent performance signals.
2 Commits • 2 Features
Mar 1, 2026March 2026: Delivered WebClaw Core features for AI-driven web data extraction and enhanced project visibility. Implemented a Rust-based MCP server with 10 extraction tools and added a Glama score badge to the README. No major bugs fixed this month; focus was on delivering scalable data extraction capabilities and improving metrics visibility, enabling faster AI integration and more transparent performance signals.
March 2026
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage50.0%
Skills & Technologies
Programming Languages
MarkdownRust
Technical Skills
AI integrationdata extractiondocumentationproject managementweb scraping
Repositories Contributed To
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