Sanity Context MCP: AI Knowledge Agent

Описание и применение

Агент на базе Sanity Context MCP отвечает на вопросы, используя структурированные данные из Sanity, обеспечивая точные и источниковые ответы.

Задача

Users need to ask natural‑language questions and receive answers grounded in structured documentation rather than generic AI knowledge or keyword search.

Результат

The agent delivers grounded, source‑aware answers to user queries, enabling easy expansion of the knowledge base.

Рабочий процесс

• 1. User submits a natural‑language question via the web interface.
• 2. The AI agent processes the question and queries Sanity Context MCP for relevant structured content.
• 3. The agent composes an answer using the retrieved content and returns it to the user.
• 4. New knowledge entries can be added to Sanity without modifying the application.

Доказательства

I built an AI-powered knowledge agent connected to a structured Knowledge Base stored in Sanity.

Источник

The goal of the project is to allow users to ask questions in natural language and get answers based on structured content from Sanity rather than relying only on general AI knowledge or simple keyword search.

Источник

The application uses: Sanity as the structured Knowledge Base, Sanity Context MCP to provide context from the knowledge base, An AI agent to understand user questions and generate answers, A web interface where users can interact with the agent

Источник