punkpeye/awesome-mcp-servers
Mar 2026 – Mar 2026
1 Month active
Languages Used
Markdown
Technical Skills
AI integrationdata aggregationdocumentationfull stack developmentreadme enhancement
OSOJDJD
PROFILE
Osojdjd
Shaopoo developed the DeepLook Research Agent for the punkpeye/awesome-mcp-servers repository, delivering a feature that aggregates data from ten sources to generate structured reports with bull or bear verdicts in approximately ten seconds. The solution, built with a focus on AI integration and data aggregation, supports research across stocks, crypto, and private companies, enabling scalable and rapid insights for users. Shaopoo also enhanced project documentation by updating the README in Markdown, adding a DeepLook badge to communicate performance metrics. This work demonstrated depth in full stack development and documentation, establishing a robust foundation for decision support and user transparency.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
3
Activity Months1
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Work History
March 2026
2 Commits • 1 Features
Mar 1, 20262026-03 Monthly Summary — Delivered the DeepLook Research Agent feature for the MCP server in punkpeye/awesome-mcp-servers. DeepLook aggregates data from 10 sources to produce structured reports with bull/bear verdicts in ~10 seconds across stocks, crypto, and private companies. Also updated project README to include a DeepLook badge, improving visibility and communicating performance metrics to users. This work establishes a scalable research capability and enhances decision support for users while keeping users informed about performance through the README badge.
2 Commits • 1 Features
Mar 1, 20262026-03 Monthly Summary — Delivered the DeepLook Research Agent feature for the MCP server in punkpeye/awesome-mcp-servers. DeepLook aggregates data from 10 sources to produce structured reports with bull/bear verdicts in ~10 seconds across stocks, crypto, and private companies. Also updated project README to include a DeepLook badge, improving visibility and communicating performance metrics to users. This work establishes a scalable research capability and enhances decision support for users while keeping users informed about performance through the README badge.
March 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage50.0%
Skills & Technologies
Programming Languages
Markdown
Technical Skills
AI integrationdata aggregationdocumentationfull stack developmentreadme enhancement
Repositories Contributed To
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