
Developed a semantic search and embedding tooling suite for the sanity-io/sanity-mcp-server repository, establishing a scalable foundation for semantic queries and embedding management. Focused on backend development using TypeScript and Zod, the work included defining parameter schemas, implementing embedding index listing, and integrating semantic search capabilities. Tool registration workflows were introduced to streamline extensibility and future integration efforts. By removing unnecessary console usage, runtime efficiency was improved. This suite enables faster feature delivery and enhances search relevance, supporting scalable embedding operations across deployments. The approach emphasized maintainability and extensibility, laying groundwork for ongoing improvements in data retrieval and API integration.
March 2025: Delivered a cohesive semantic search and embedding tooling suite for the MCP server, establishing the foundation for scalable semantic queries, embedding management, and tool extensibility that supports faster feature delivery and improved search relevance.
March 2025: Delivered a cohesive semantic search and embedding tooling suite for the MCP server, establishing the foundation for scalable semantic queries, embedding management, and tool extensibility that supports faster feature delivery and improved search relevance.

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