punkpeye/awesome-mcp-servers
Feb 2026 – Mar 2026
2 Months active
Languages Used
Markdown
Technical Skills
AI integrationObsidiandocumentationknowledge managementlink managementopen source contribution
Howard Eridani
PROFILE
Howard Eridani
Howard contributed to the punkpeye/awesome-mcp-servers repository by developing AI-enabled knowledge management features and expanding server aggregation capabilities. Over two months, Howard integrated AI agents with Obsidian vaults, enabling automated knowledge discovery and cross-team collaboration through the EVC Team Relay MCP. The work included adding a Glama service link to improve project accessibility and updating the Aggregator Registry to incorporate Spark-based MCP modules, broadening server coverage for operators. Howard’s approach emphasized Markdown-based documentation, repository management, and open source contribution, resulting in maintainable, well-documented enhancements that streamlined onboarding, improved discoverability, and laid a foundation for scalable knowledge reuse across teams.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
7,134
Activity Months2
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Work History
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026: Delivered an essential enhancement to the MCP ecosystem by updating the Aggregator Registry in punkpeye/awesome-mcp-servers. Key delivery: MCP Servers Aggregator Registry Update — added entire-vc/evc-spark-mcp to the aggregators, expanding the MCP server catalog available to operators. This change accelerates onboarding and improves discoverability of MCP servers, delivering measurable business value for deployments. No major bugs fixed this month; ongoing validation and small maintenance tasks ensured compatibility with the new aggregator. Overall impact: broader server coverage, streamlined provisioning, and improved platform flexibility. Technologies/skills demonstrated: Git-based version control, cross-repo collaboration, dependency/registry integration, and validation of Spark-based MCP modules.
1 Commits • 1 Features
Mar 1, 2026March 2026: Delivered an essential enhancement to the MCP ecosystem by updating the Aggregator Registry in punkpeye/awesome-mcp-servers. Key delivery: MCP Servers Aggregator Registry Update — added entire-vc/evc-spark-mcp to the aggregators, expanding the MCP server catalog available to operators. This change accelerates onboarding and improves discoverability of MCP servers, delivering measurable business value for deployments. No major bugs fixed this month; ongoing validation and small maintenance tasks ensured compatibility with the new aggregator. Overall impact: broader server coverage, streamlined provisioning, and improved platform flexibility. Technologies/skills demonstrated: Git-based version control, cross-repo collaboration, dependency/registry integration, and validation of Spark-based MCP modules.
March 2026
February 2026
2 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for punkpeye/awesome-mcp-servers focused on delivering AI-enabled knowledge management capabilities via the EVC Team Relay MCP. The work enables AI agents to interact with Obsidian vaults to improve knowledge discovery and collaboration, and introduces a Glama service link to boost project visibility and accessibility. Major commits integrated Knowledge & Memory linkage with the new MCP feature, laying groundwork for cross-team knowledge reuse.
February 2026
2 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for punkpeye/awesome-mcp-servers focused on delivering AI-enabled knowledge management capabilities via the EVC Team Relay MCP. The work enables AI agents to interact with Obsidian vaults to improve knowledge discovery and collaboration, and introduces a Glama service link to boost project visibility and accessibility. Major commits integrated Knowledge & Memory linkage with the new MCP feature, laying groundwork for cross-team knowledge reuse.
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage46.6%
Skills & Technologies
Programming Languages
Markdown
Technical Skills
AI integrationObsidiandocumentationknowledge managementlink managementopen source contributionrepository management
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