> For clean Markdown of any page, append .md to the page URL. > For a complete documentation index, see https://docs.ada.cx/docs/automation/greetings/blocks/fetch-chat-metadata-block/llms.txt. > For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.ada.cx/_mcp/server. # Fetch Chat Metadata block ## Overview The Fetch Chat Metadata block adds the chat transcript and/or customer information from a conversation, and saves that information as variables. This can be very useful when you're setting up handoffs, so you can pass along additional information to the human agent. ## Configuration Save conversation transcripts, summaries, and customer information as variables for use in other blocks. **To configure the Fetch Chat Metadata block:** 1. Under **Select Variables for Inputs**, beside **Chatter Token**, click inside the field and add the red **chatter\_token** metavariable. 2. Under **Save Response as Variables**, click the **Select Optional Variables** drop-down menu, then select any optional variables you'd like to capture: * **Transcript and Summary**: Select this option to save the conversation transcript and summary to a variable. * **Transcript Only**: Select this option to save just the conversation transcript to a variable. * **Summary Only**: Select this option to save just the conversation summary to a variable. * **Chatter Info**: Select this option to save the customer's metadata to a variable. This is the same information available about the customer's meta variables when you're viewing a chat transcript. 3. For each optional variable you selected, click the **Choose a Variable** drop-down menu, then select an existing variable, or create a new one, to capture the information. 4. Under **Fallback Answer**, you can click to edit the AI Agent's response if an error occurs. --- Have any questions? Contact your Ada team, or email us at [](mailto:help@ada.cx?subject=Help%20Docs%20inquiry).