Quickchat AI MCP server

What is Quickchat AI MCP server?

The Quickchat AI MCP server lets anyone plug a Quickchat AI Agent into AI apps such as Claude Desktop, Cursor, VS Code, and Windsurf via the Model Context Protocol (MCP). It is built for developers and creators who want to share their Quickchat AI agents with users of other AI tools.

How to use Quickchat AI MCP server?

Create a Quickchat AI account and start a 7‑day trial. Set up your AI agent’s knowledge base and capabilities, then activate its MCP in the Quickchat dashboard. Copy the configuration snippet (with SCENARIO_ID and API_KEY) from the dashboard into your AI app’s MCP settings. Use uvx quickchat-ai-mcp as the command. For debugging, run uv run mcp dev src/__main__.py with the MCP inspector.

Key features of Quickchat AI MCP server

• All MCP settings controlled from the Quickchat AI dashboard.
• One‑click deployment – users only need to refresh their connection.
• View all conversations in the Quickchat Inbox.
• Not a static tool; provides open‑ended communication with your AI agent.
• Supports multiple clients: Claude Desktop, Cursor, VS Code, Windsurf, and more.

Use cases of Quickchat AI MCP server

• Let Claude Desktop call your custom Quickchat AI agent for specialized knowledge.
• Equip Cursor with an AI assistant that has your unique training data.
• Add a company‑specific AI to any MCP‑compatible app (e.g., VS Code, Windsurf).
• Build a multi‑agent workflow where one AI delegates tasks to your Quickchat agent.