Building MCP Servers to Bridge AI's Swahili Language Gap

Swahili has 200 million speakers but AI models make 4x more errors in it than English due to sparse training data. Developer Gabriel Mahia builds MCP servers that encode domain knowledge structurally, bypassing linguistic flaws in the AI's Swahili layer. A separate project aims to create Swahili civic training datasets for better fine-tuned models.