Overview
The Quickchat AI MCP server lets you expose your Quickchat AI Agent as a Model Context Protocol (MCP) endpoint that third‑party AI apps can plug into. It enables you to activate MCPs from the Quickchat UI by providing a Name, Description, and an optional Command so external apps know when to contact your AI and what it can do. The MCP server gives real‑time access to your AI’s Knowledge Base and capabilities from popular clients such as Claude Desktop, Cursor, VS Code, Windsurf, and others. A key advantage is dashboard‑driven management: you can adjust MCP settings and deploy changes with a single click; users refresh their MCP connection to pick up updates. The README also covers practical testing paths for Claude Desktop and Cursor, plus debugging with the MCP inspector. Unlike many static MCPs, this implementation supports open‑ended messaging to your Quickchat AI Agents, enabling dynamic, AI‑to‑AI style interactions across apps.
Features
Dashboard-driven MCP management
Control all aspects of your MCP from the Quickchat AI dashboard with one-click deployment; updates to MCP name and description are applied when users refresh their connection.
Conversation visibility in inbox
View conversations in the Quickchat Inbox, showing transcripts of AI<>AI interactions between the app and your Quickchat AI.
Open-ended agent communication
Provides an open-ended way to send messages to Quickchat AI Agents you create, rather than a static tool.
Who Is This For?
- AI app developers:Integrate the Quickchat AI MCP into apps like Claude Desktop, Cursor, or VS Code to access Quickchat AI's knowledge and capabilities in real-time.
- Quickchat AI account holders (developers):Set up, test, and manage MCPs for their Quickchat AI agent, including configuring knowledge base, capabilities, and deployment.
