--- title: BLAZE Integrations | BLAZE MCP Data Visibility & Model Training Privacy description: Learn what BLAZE data AI models can see via MCP, how permissions apply, and how to opt out of AI model training on Claude and ChatGPT. --- [Skip to content](https://support.blaze.me/hc/en-us/articles/accounts-data-visibility-model-training-privacy#main-content) [![BLAZE-Logo-Blue (2)](https://support.blaze.me/hs-fs/hubfs/BLAZE-Logo-Blue%20(2).png?width=140&height=37&name=BLAZE-Logo-Blue%20(2).png)](https://support.blaze.me?hsLang=en) - [BLAZE US Knowledge Base](https://support.blaze.me/hc/en-us/articles) Open main navigation Close main navigation - [BLAZE US Knowledge Base](https://support.blaze.me/hc/en-us/articles) Welcome to the Blaze US Knowledge Base! Find helpful reference by searching here... - There are no suggestions because the search field is empty. 1. [BLAZE US Knowledge Center](https://support.blaze.me/hc/en-us/articles?hsLang=en) 2. [BLAZE Retail](https://support.blaze.me/hc/en-us/articles/blaze-retail?hsLang=en) 3. [Integrations](https://support.blaze.me/hc/en-us/articles/blaze-retail?hsLang=en#integrations) # BLAZE Integrations | BLAZE MCP Data Visibility & Model Training Privacy ## When connecting AI assistants to BLAZE through the Model Context Protocol (MCP), data visibility is strictly regulated by user-level permissions, and model training is governed by your AI provider's privacy settings. ### How BLAZE Data Visibility Works The AI assistant does not download your database or browse your account autonomously. Data is accessed dynamically on an as-needed basis: 1. You submit a prompt (e.g., *"How did Saturday's sales compare to last Saturday?"*). 2. The AI assistant requests specific information from BLAZE MCP to fulfill the prompt. 3. BLAZE returns only the requested data, provided your active BLAZE login has access. 4. The assistant processes the returned data to generate a response. **NOTE:** BLAZE user permissions apply strictly at all times. If your BLAZE login cannot view a specific store, report, or feature, the connected AI assistant cannot view it either. --- ### Types of Accessible Data Depending on your assigned BLAZE user permissions and the active connector, the AI assistant can request the following data categories: | **Connector** | **Accessible Data Categories** | | --- | --- | | **BLAZE Retail** | Products, inventory, batches, transfers, purchase orders, vendors, member/loyalty profiles, transactions, refunds, promotions, pricing, employee lists, and store settings. | | **BLAZE Ecom** | Product catalogs, online menus, orders, online customer profiles, and site settings (operating hours, banners, delivery zones, payment options, and kiosks). | **IMPORTANT:** Certain data requests (such as member or online customer records) may contain Personally Identifiable Information (PII). --- ### Managing AI Model Training Settings Whether your conversations and accessed data are used to train AI models depends on your AI platform provider and account plan. ##### **Claude (Anthropic)** - **Business Plans (Claude Team, Enterprise, API):** Anthropic does not use customer inputs or outputs for model training by default. - **Personal Plans (Free, Pro, Max):** Model training is controlled by the **Model Improvement** setting. - To disable: Navigate to **Settings \> Privacy** and toggle off **Help Improve our AI models**. - *Note:* Raw content retrieved dynamically from MCP connectors is excluded from training by Anthropic; however, content manually copied and pasted directly into the chat may be included if training is enabled. ##### **ChatGPT (OpenAI)** - **Business Plans (ChatGPT Business, Enterprise, Edu, API):** OpenAI does not use business account inputs or outputs for model training by default. - **Personal Plans (Free, Plus, Pro):** OpenAI may use conversation history and accessed app data to train models. - To disable: Navigate to **Settings \> Data controls** and turn off **Improve the model for everyone**. ##### **Other AI Providers** Check the specific privacy policy and data governance controls of any third-party AI app before linking your BLAZE MCP server URL. --- ### Recommended Best Practices 1. **Use Business Plans:** Utilize commercial or enterprise AI plans for workflows that process customer records or financial data. 2. **Opt Out on Personal Accounts:** If using a personal AI account, turn off model training in the app's privacy settings before connecting BLAZE. 3. **Limit Manual Sharing:** Avoid pasting unneeded sensitive customer PII directly into chat prompts. 4. **Ensure Compliance:** Confirm that AI usage adheres to your organization's internal data privacy and compliance guidelines. - 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