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This guide takes you from an empty workspace to a context repository that your AI agents can use.
1

Sign in

Create your workspace and sign in to the Qontext platform.
2

Add context to your repository

Your context repository becomes useful once it contains company context. There are three common ways to get started.
1

Migrate existing context

If you already have structured company knowledge (e.g. a repository in GitHub), import it into Qontext using the import-repo skill.
2

Add a data source

Connect a native connector and let Qontext continuously build and maintain your repository.Examples include:See all.
3

Create and maintain files

You can create and maintain files via the UI or MCP.Qontext exposes a hosted MCP server:
https://api.qontext.ai/mcp
3

Power your AI agents

Once your repository contains context, connect your AI agents via MCP or API.Examples include:See all.

Next steps

Chats

Connect to Claude or ChatGPT via MCP to chat with your context repository.

Qontext API

Explore ingestion and retrieval options via the API.

AI Workflows

Power your AI workflows in n8n, make.com, or zapier with context from Qontext.

Native Connectors

Continuously sync HubSpot, Google Drive, and Notion data using our connectors.

Need help?

If you encounter any problems or questions, contact us at support@qontext.ai.