punkpeye/awesome-mcp-servers
Mar 2026 – Mar 2026
1 Month active
Languages Used
Markdown
Technical Skills
AI GovernanceCompliance ReportingPolicy Enforcementdocumentationopen source contributionrepository management
João André Gomes Marques
PROFILE
João André Gomes Marques
João developed governance capabilities for AI agents in the punkpeye/awesome-mcp-servers repository, delivering the Asqav MCP server with features such as policy enforcement, quantum-safe audit trails, multi-party authorization, and compliance reporting. His technical approach emphasized secure, auditable operations for enterprise AI deployments, leveraging policy-based governance and cryptographically secure audit mechanisms. João also improved project documentation using Markdown, updating repository links and adding a Glama score badge to clarify compliance scoring for stakeholders. While no major bugs were addressed, his work demonstrated depth in AI governance, compliance reporting, and documentation, enhancing both the security posture and onboarding experience for developers.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
5
Activity Months1
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Work History
March 2026
3 Commits • 2 Features
Mar 1, 2026March 2026 focused on delivering governance capabilities for AI agents and strengthening project documentation. Delivered the Asqav MCP server for AI agent governance with policy enforcement, quantum-safe audit trails, multi-party authorization, and compliance reporting in punkpeye/awesome-mcp-servers. Documentation updates corrected the asqav-mcp repository link and added a Glama score badge to improve visibility and clarity around compliance scoring. No major bugs fixed this month; minor doc-related fixes were deployed to ensure accurate references and visibility. Overall, this work enhances security, auditability, and governance readiness for enterprise AI deployments, while improving developer onboarding and stakeholder communication. Technologies demonstrated include policy-based governance, cryptographically secure audit trails, multi-party authorization, compliance reporting, and effective documentation practices.
3 Commits • 2 Features
Mar 1, 2026March 2026 focused on delivering governance capabilities for AI agents and strengthening project documentation. Delivered the Asqav MCP server for AI agent governance with policy enforcement, quantum-safe audit trails, multi-party authorization, and compliance reporting in punkpeye/awesome-mcp-servers. Documentation updates corrected the asqav-mcp repository link and added a Glama score badge to improve visibility and clarity around compliance scoring. No major bugs fixed this month; minor doc-related fixes were deployed to ensure accurate references and visibility. Overall, this work enhances security, auditability, and governance readiness for enterprise AI deployments, while improving developer onboarding and stakeholder communication. Technologies demonstrated include policy-based governance, cryptographically secure audit trails, multi-party authorization, compliance reporting, and effective documentation practices.
March 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage40.0%
Skills & Technologies
Programming Languages
Markdown
Technical Skills
AI GovernanceCompliance ReportingPolicy Enforcementdocumentationopen source contributionrepository management
Repositories Contributed To
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