
Developed and launched the MCP Bundles and Agent Interviews servers within the punkpeye/awesome-mcp-servers repository, focusing on expanding research capabilities and improving tool aggregation. The work involved integrating ThinkChainAI’s mcpbundles into the Aggregators section and introducing agentinterviews_mcp in a newly structured Research section, which now organizes research, survey, and interview tools for better discoverability. Implementation centered on API integration and comprehensive documentation, using Markdown to ensure clarity and maintainability. This feature established a scalable foundation for research tooling within the MCP ecosystem, enhancing workflow efficiency and supporting future growth in research-oriented development without addressing bug fixes during the period.
December 2025: Delivered MCP Bundles and Agent Interviews servers for the punkpeye/awesome-mcp-servers repo, expanding research capabilities and tool aggregation. The change adds ThinkChainAI/mcpbundles to the Aggregators section and ThinkChainAI/agentinterviews_mcp to a new Research section, with a dedicated Research subsection for research, surveys, and interview tools. Implemented via commit ab9e180a009fe83a9d3e5344aad92dbe837c0664. This work establishes a scalable foundation for research tooling, improves discoverability, and strengthens integration within the MCP ecosystem.
December 2025: Delivered MCP Bundles and Agent Interviews servers for the punkpeye/awesome-mcp-servers repo, expanding research capabilities and tool aggregation. The change adds ThinkChainAI/mcpbundles to the Aggregators section and ThinkChainAI/agentinterviews_mcp to a new Research section, with a dedicated Research subsection for research, surveys, and interview tools. Implemented via commit ab9e180a009fe83a9d3e5344aad92dbe837c0664. This work establishes a scalable foundation for research tooling, improves discoverability, and strengthens integration within the MCP ecosystem.

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