punkpeye/awesome-mcp-servers
Mar 2026 – Mar 2026
1 Month active
Languages Used
Markdown
Technical Skills
AI DevelopmentAPI IntegrationAPI integrationData AnalysisData PlatformsFinance
Daniel Alejandro Dominguez Diaz
PROFILE
Daniel Alejandro Dominguez Diaz
During March 2026, Daniel developed three core features for the punkpeye/awesome-mcp-servers repository, focusing on AI agent workflows and LATAM financial integrations. He engineered a CobroYa payments server to streamline payment link creation, payment searches, and refunds for regional merchants. Daniel also integrated MercadoLibre marketplace APIs, enabling AI agents to search products, retrieve item details, and access currency conversion. Additionally, he built a DolarAPI MCP server to provide real-time Argentine exchange rates for AI-driven operations. His work leveraged backend development, API integration, and data analysis, delivering robust, maintainable solutions that enhanced data accessibility and operational efficiency for AI-enabled platforms.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
6Total
Bugs
0
Commits
6
Features
3
Lines of code
9
Activity Months1
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Work History
March 2026
6 Commits • 3 Features
Mar 1, 2026March 2026 monthly summary for punkpeye/awesome-mcp-servers: Delivered three MCP servers targeting LATAM workflows and AI agent capabilities, with focused enhancements in payments, marketplace search, and financial data feeds. Implemented Glama links for streamlined onboarding across integrations and committed changes enabling robust data access and operations for AI-enabled agents.
6 Commits • 3 Features
Mar 1, 2026March 2026 monthly summary for punkpeye/awesome-mcp-servers: Delivered three MCP servers targeting LATAM workflows and AI agent capabilities, with focused enhancements in payments, marketplace search, and financial data feeds. Implemented Glama links for streamlined onboarding across integrations and committed changes enabling robust data access and operations for AI-enabled agents.
March 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage43.4%
Skills & Technologies
Programming Languages
Markdown
Technical Skills
AI DevelopmentAPI IntegrationAPI integrationData AnalysisData PlatformsFinancebackend developmentdocumentationlink managementproject management
Repositories Contributed To
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