Sanity Context MCP: AI Knowledge Agent

说明与用途

基于 Sanity Context MCP 的 AI 代理使用 Sanity 的结构化数据回答自然语言问题，提供准确、来源可追溯的答案。

问题

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

结果

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

工作流

• 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.

证据

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

来源

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.

来源

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

来源