# Re:amaze — MCP server on 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.

By: mcp.ai · official
Page: https://mcp.ai/re_amaze

## Connect (MCP protocol)
Remote MCP endpoint (HTTP, streamable): https://api.mcp.ai/p_re_amaze?ms=1787293680000
Add it as a custom/remote MCP connector, then authenticate when prompted.

## REST API (no MCP client required)
Every tool is also a REST endpoint, authed with a workspace API key.
Discover: GET https://api.mcp.ai/api/re_amaze/_endpoints   # public; lists every endpoint
Call:     POST https://api.mcp.ai/api/re_amaze/<endpoint>
  Authorization: Bearer sk_live_…   # create one at https://mcp.ai/settings/api-keys
  Content-Type: application/json
  Body: { …args }   →   { "ok": true, "tool": "<id>", "result": { … } }

## Developer docs
How to use (MCP or REST), markdown: https://mcp.ai/re_amaze/skill.md
Postman collection (v2.1): https://mcp.ai/re_amaze/postman.json

## Tools
- re_amaze_get_reports_tags(end_date?: string, start_date?: string) — Tool to retrieve a list of tags used in reports. Use when analyzing tag usage metrics across conversations.
- re_amaze_get_response_templates(q?: string, page?: integer) — Tool to retrieve response templates for the brand. Use when you need canned responses to streamline replies.

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

## Links
Docs: https://mcp.ai/docs/mcps/re_amaze
Website: https://mcp.ai/mcps/re_amaze