During February 2026, Greengate Brasil contributed to the punkpeye/awesome-mcp-servers repository by developing and documenting a new MCP server entry focused on Brazilian agricultural data. This work involved integrating diverse agricultural datasets to support large language model data provisioning, with careful attention to API management and data integration best practices. Greengate Brasil updated the project’s Markdown-based documentation to guide users in accessing and utilizing the new server entry. The addition expanded the repository’s data asset catalog, improving discoverability and laying the groundwork for future dataset onboarding. The work demonstrated a focused, well-scoped approach to enhancing data coverage for LLM applications.