punkpeye/awesome-mcp-servers
Mar 2026 – Mar 2026
1 Month active
Languages Used
Markdown
Technical Skills
API DevelopmentAPI integrationData ExtractionWeb Scrapingdocumentation
Jesse Eldridge
PROFILE
Jesse Eldridge
Jesse developed the Junipr-mcp Web Intelligence API for the punkpeye/awesome-mcp-servers repository, focusing on enabling AI agents to process online content from capture to structured data extraction. The work involved expanding the suite of data extractors from 46 to 75, supporting advanced features like screenshot capture, PDF generation, and metadata extraction. Jesse used skills in API development, data extraction, and web scraping, with documentation maintained in Markdown to ensure clarity and usability. The updates also included aligning the README with new integrations, reflecting a thorough approach to both backend functionality and developer-facing documentation within a one-month period.
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, 2026March 2026 monthly summary for punkpeye/awesome-mcp-servers: Delivered Junipr-mcp Web Intelligence API with screenshot capture, PDF generation, and metadata extraction; expanded data extractors from 46 to 75; and updated documentation to reflect Glama integration and actor count. These capabilities enable AI agents to process online content end-to-end, from capture to structured data extraction, driving improved content analytics and automation.
2 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for punkpeye/awesome-mcp-servers: Delivered Junipr-mcp Web Intelligence API with screenshot capture, PDF generation, and metadata extraction; expanded data extractors from 46 to 75; and updated documentation to reflect Glama integration and actor count. These capabilities enable AI agents to process online content end-to-end, from capture to structured data extraction, driving improved content analytics and automation.
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
API DevelopmentAPI integrationData ExtractionWeb Scrapingdocumentation
Repositories Contributed To
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