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Cherry Studio Setup Guide

Connect Gety to Cherry Studio so the AI can answer directly from your local files, fast and private.

Before you begin, make sure Gety is running in the background.

For the best search and answer quality, Let Gety finish indexing (including the semantic index) first.

I. Enable MCP in Gety​

  1. Open Gety -> Settings -> AI Integration, Select MCP.

  2. In the pop-up, enter a name you’ll remember (e.g., CherryStudio).

  1. Create the MCP integration and copy the JSON configuration for later use.

II. Add Gety in Cherry Studio​

  1. Go to Settings -> MCP Settings, click Add Server, choose Import from JSON, paste the config from Gety, and save.

  1. To confirm it’s connected, check the Gety MCP server card under Tools — you should see three tools listed.

III. Add an API Key (skip if already configured)​

  1. In Model Provider, select your AI service provider. Paste your API key and click Check. If valid and your connection is stable, you’ll see a green checkmark.

  1. Under Default Model, choose the provider and model you want — and you’re done.

IV. Start using it​

In Cherry Studio, click the MCP icon below the chat input, check Gety, and start chatting. The AI will answer using your local files.

AI Integration gives you the benefits of AI powered by your own files — always under your control. Every time content is shared, whether it’s a short snippet or a longer section, a confirmation pop-up lets you review it first.

With that trust in place, your AI becomes sharper, more relevant, and better at tackling real work.

This is the future we believe in: AI that truly understands you, powered by your own data.

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