Quickchat AI

io.github.quickchataiv1.0.0Updated Oct 9, 2026

Build a customer support AI agent from your website, then analyze conversations and improve it.

VerifiedStreamable HTTPWeb executableBusiness & Commerce

Overview

AI-generated overview

Lets an assistant build a customer support AI agent from a website, then analyze conversations and improve it.

What it does
Quickchat AI is a remote MCP server for building a customer support AI agent from your website content. According to its description, it also lets an assistant analyze conversations and improve the agent. The manifest lists no tools, so the exact operations are not documented here.
When to use it
Consider it when you want an assistant to help set up a website-based customer support agent and to review and refine that agent over time. It is less relevant if you only need general chat or coding help.
Requirements
It runs as a remote endpoint at app.quickchat.ai over streamable HTTP, so no local runtime or package is needed. The manifest declares no authentication, environment variables, or headers, but a Quickchat account may still be required.
Before you install
The manifest declares no authentication, environment variables, or headers, so it is unclear what credentials or account access are involved. Building an agent from a website and analyzing conversations may send site content and customer conversation data to a third party. Confirm data handling and access before connecting.

Installation

In SourceWeft

  1. Open Quickchat AI in the dashboard and add it to a workspace.
  2. 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": {
    "quickchat": {
      "type": "http",
      "url": "https://app.quickchat.ai/v1/api/mcp/rpc"
    }
  }
}

Tools

0
Tool metadata has not been indexed yet.

Version history

1
  1. v1.0.0LatestOct 9, 2026