> ## Documentation Index
> Fetch the complete documentation index at: https://docs.memorycrystal.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Importing data

> The public import paths for loading stable reference material into a Knowledge Base.

Importing data is how you put books onto the shelf so the AI can read them later.

## What this means in practice

Knowledge can be imported through:

* MCP knowledge-base tools
* HTTP endpoints
* larger migration/import workflows in the repo

## How it actually works

Key repo surfaces:

* `convex/crystal/knowledgeHttp.ts`
* `convex/crystal/knowledgeBases.ts`
* `packages/mcp-server/README.md`

These files show how imports are accepted, stored, and enriched.

## Commands / examples

Examples:

* `crystal_import_knowledge`
* `POST /api/knowledge-bases/:knowledgeBaseId/import`

## Common mistakes

* assuming imports are only an MCP concern and forgetting the HTTP path
* documenting import as if it immediately means “fully enriched and searchable” without mentioning follow-up processing
* mixing conversational memory ingestion and KB import semantics

## Source of truth

Primary files behind this page:

* `convex/crystal/knowledgeHttp.ts`
* `convex/crystal/knowledgeBases.ts`
* `packages/mcp-server/README.md`