punkpeye/awesome-mcp-servers
Mar 2025 – Mar 2025
1 Month active
Languages Used
Markdown
Technical Skills
API IntegrationData AnalysisDocumentationGame DevelopmentServer Developmentdatabase integration
pab1it0
PROFILE
Pab1it0
Pavel expanded data access and analytics capabilities across several repositories, including modelcontextprotocol/servers and docker/mcp-registry, by integrating Azure Data Explorer and Prometheus MCP servers. He implemented multi-source querying and standardized data-access layers, enabling AI-assisted analytics and more reliable insights from diverse data sources. In docker/mcp-registry, Pavel delivered Prometheus MCP Server integration, supporting PromQL queries, metrics discovery, authentication, and multi-tenancy for enhanced observability and security. His work involved API development, server integration, and technical writing, utilizing YAML and Markdown for documentation. The solutions provided a scalable foundation for tenant-aware analytics and improved data accessibility, demonstrating strong engineering depth.
Overall Statistics
Feature vs Bugs
80%Features
Repository Contributions
10Total
Bugs
1
Commits
10
Features
4
Lines of code
34
Activity Months2
Your Network
1762 peopleWork History
September 2025
1 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for docker/mcp-registry: Delivered Prometheus MCP Server integration enabling PromQL queries, metrics discovery, authentication, and multi-tenancy within the Docker MCP Registry. This work enhances observability, security, and AI-assisted analytics by allowing metric queries directly in the registry. No major bugs reported this month; the changes establish a scalable foundation for tenant-aware metrics access and future enhancements.
1 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for docker/mcp-registry: Delivered Prometheus MCP Server integration enabling PromQL queries, metrics discovery, authentication, and multi-tenancy within the Docker MCP Registry. This work enhances observability, security, and AI-assisted analytics by allowing metric queries directly in the registry. No major bugs reported this month; the changes establish a scalable foundation for tenant-aware metrics access and future enhancements.
September 2025
March 2025
9 Commits • 3 Features
Mar 1, 20252025-03 Monthly Summary: Expanded MCP-based data access and Azure Data Explorer (ADX) integration to broaden data-query capabilities and accelerate AI-assisted analytics. Delivered multi-source querying via new MCP servers, improved data accessibility, and reinforced a standardized data-access layer across repositories. The work enhances business value by enabling faster, more reliable insights from diverse data sources.
March 2025
9 Commits • 3 Features
Mar 1, 20252025-03 Monthly Summary: Expanded MCP-based data access and Azure Data Explorer (ADX) integration to broaden data-query capabilities and accelerate AI-assisted analytics. Delivered multi-source querying via new MCP servers, improved data accessibility, and reinforced a standardized data-access layer across repositories. The work enhances business value by enabling faster, more reliable insights from diverse data sources.
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage34.0%
Skills & Technologies
Programming Languages
MarkdownYAML
Technical Skills
AI IntegrationAPI DevelopmentAPI IntegrationAzureData AnalysisDevOpsDocumentationGame DevelopmentMonitoringObservabilityServer Developmentdata analysisdatabase integrationdocumentationserver development
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline
modelcontextprotocol/servers
Mar 2025 – Mar 2025
1 Month active
Languages Used
Markdown
Technical Skills
API DevelopmentAzureDocumentationdata analysisdocumentationserver development
docker/mcp-registry
Sep 2025 – Sep 2025
1 Month active
Languages Used
YAML
Technical Skills
AI IntegrationDevOpsMonitoringObservability