# Re:amaze — how to use (mcp.ai)

Connect your Re:amaze account and use 2 tools for customer support straight from your AI agent. Connect with your own API key. Re:amaze is a multi-channel customer support platform offering live chat, email, social messaging, and automated workflows.

## Option A — via MCP (recommended)
Remote MCP endpoint (HTTP, streamable): `https://api.mcp.ai/p_re_amaze?ms=1787291340000`
Add it as a custom/remote MCP connector in your client (Claude, Cursor, VS Code…), then authenticate when prompted. Once connected, ask the agent to use the server's tools (e.g. `re_amaze_get_reports_tags`).

## Option B — via direct REST API
Base URL: `https://api.mcp.ai/api/re_amaze`
Auth: `Authorization: Bearer sk_live_…` — create a workspace API key at https://mcp.ai/settings/api-keys
Discover endpoints: `GET https://api.mcp.ai/api/re_amaze/_endpoints`

### Endpoints
- `POST https://api.mcp.ai/api/re_amaze/get/reports/tags` — Tool to retrieve a list of tags used in reports. Use when analyzing tag usage metrics across conversations.
  - body: { end_date?: string, start_date?: string }
- `POST https://api.mcp.ai/api/re_amaze/get/response/templates` — Tool to retrieve response templates for the brand. Use when you need canned responses to streamline replies.
  - body: { q?: string, page?: integer }

## Example prompts
- "What can I do in Re:amaze?"
- "Show me a summary of my Re:amaze account"

## More
- Page: https://mcp.ai/re_amaze
- Agent spec (llms.txt): https://mcp.ai/re_amaze/llms.txt
- Postman collection: https://mcp.ai/re_amaze/postman.json