
FrontDesk Chat
io.github.5ak3tv1.0.0Updated Oct 10, 2026
AI front desk for your website: read chats, bookings and analytics, and draft desks you approve.
Overview
AI-generated overview
Lets an assistant read website chat conversations, bookings and analytics, and draft front-desk responses for approval.
- What it does
- FrontDesk Chat is a remote MCP server for an AI front-desk service on a website. According to its description, it lets an assistant read chats, bookings and analytics, and draft desks that the user approves. No individual tools are listed in the supplied information.
- When to use it
- Consider it when a website's visitor chats, bookings and front-desk analytics should be reviewed or drafted from an assistant, with a human approving outgoing replies. It is not useful without an existing FrontDesk Chat account or site.
- Requirements
- A remote streamable HTTP endpoint at api.frontdeskchat.com; no packages, environment variables or headers are declared. The manifest declares no authentication, but the service is account-based, so expect to need a FrontDesk Chat account and whatever credentials the provider issues.
Before you install
The description says drafts are approved by the user, so treat generated replies as proposals rather than sent messages. Chat and booking data is read from and processed by a third-party service, and the manifest declares no authentication, so confirm how access is actually secured before connecting.
Installation
In SourceWeft
- Open FrontDesk Chat in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.
Other MCP clients
Add this to your client's mcpServers config.
{
"mcpServers": {
"frontdeskchat": {
"type": "http",
"url": "https://api.frontdeskchat.com/mcp"
}
}
}Tools
0Tool metadata has not been indexed yet.
Version history
1- v1.0.0LatestOct 10, 2026


