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

# How Does CoreStory Work?

> How CoreStory ingests repositories and produces queryable code intelligence.

## Input

The CoreStory platform accepts **public repositories**, **private repositories**, and **direct file uploads** as inputs. Connect a GitHub repo or upload source files to get started.

## Ingestion

Once you connect a repository, CoreStory ingests it to produce a custom **intelligence model** for that repository. This intelligence model is a dynamically queryable central store of system metadata — a rich source of truth for human and AI workers modernizing or maintaining your codebase.

## Output

Your intelligence model can be queried via chat to produce on-demand **code intelligence** about your repository's structure, behavior, and business requirements.

Each standard repository ingestion creates:

* A **chat interface** for natural language queries about your code
* A standard set of **specification outputs** (executive summary, user personas, user stories, data models, API specifications, and integration points) that can be further customized

## Integration

CoreStory provides an **MCP server** and **REST API** so that third-party tools — including AI coding agents like Claude, Cursor, and GitHub Copilot — can query your intelligence model directly. This means your AI tools make decisions grounded in actual system context rather than guessing.

<Card title="Get Started" icon="rocket" href="/getting-started/getting-started">
  Connect your first repository and start querying.
</Card>