The Model Context Protocol (MCP) is becoming the standard way to give AI agents tools. Expose your RAG pipeline as MCP tools and the agent can retrieve from your knowledge on its own, mid-task — no glue code in every app.
Why MCP changes RAG integration
Traditionally you wire retrieval into one app's prompt-assembly code. Over MCP, retrieval is a tool the model calls when it decides it needs context — the same server works in Claude, Cursor, and any MCP client, with zero per-app integration.
What the tools look like
A useful RAG MCP server exposes a search tool (query your documents, get cited passages back) plus ingest and memory tools, so an agent can add a source and recall it later without leaving the conversation. The model calls them like any other function.
Wiring it up
Kit for AI ships an MCP server that exposes your knowledge base for AI agents — search, convert, remember, recall — over one install, backed by hybrid search and reranking. Point an MCP client at it and your agent has retrieval built in. Start free to connect one.