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Quickchat AI MCP server

@quickchatai

リポジトリ

基本情報

カテゴリ

その他

ライセンス

MIT

トランスポート

stdio

作者

quickchatai

Quickchat AI MCP server について

The Quickchat AI MCP server

#quickchat#ai#mcp#server

Quickchat AI MCP server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "quickchat-ai-mcp": {
      "command": "uvx",
      "args": [
        "quickchat-ai-mcp"
      ],
      "env": {
        "SCENARIO_ID": "",
        "API_KEY": ""
      }
    }
  }
}

Quickchat AI MCP server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。

概要

What is Quickchat AI MCP server?

The Quickchat AI MCP server lets anyone plug your Quickchat AI Agent into AI apps like Claude Desktop, Cursor, VS Code, Windsurf, and more. It is built for developers and creators who want to expose their custom AI agent as a tool via the Model Context Protocol.

How to use Quickchat AI MCP server?

Create a Quickchat AI account, set up your agent’s Knowledge Base and settings, then go to the MCP page to activate it with a Name, Description, and optional Command. Add the provided JSON configuration to your AI app’s MCP settings, including the SCENARIO_ID and API_KEY environment variables. To let others use your MCP without exposing your API key, turn off “Require API key” in the Quickchat app and share the configuration snippet without the key.

Key features of Quickchat AI MCP server

  • Control all MCP aspects from the Quickchat AI dashboard with one-click deployment.
  • View all conversations in the Quickchat Inbox as AI-to-AI transcripts.
  • Open-ended messaging: not a static tool, agents can handle dynamic interactions.
  • Share your MCP publicly without requiring an API key from end users.
  • Compatible with Claude Desktop, Cursor, VS Code, Windsurf, and other MCP clients.
  • Name and description changes deploy instantly; users only need to refresh their connection.

Use cases of Quickchat AI MCP server

  • Integrate a custom Quickchat AI agent into Claude Desktop for conversational assistance.
  • Add a domain-specific AI to Cursor for code-related queries and tasks.
  • Provide a public AI assistant in VS Code or Windsurf without sharing your API key.
  • Allow users to interact with your agent from any supported MCP host application.

よくある質問

1

How do I configure this MCP for Claude Desktop?

Go to Settings > Developer > Edit Config, open `claude_desktop_config.json`, and add the MCP entry with `command: "uvx"`, `args: ["quickchat-ai-mcp"]`, and environment variables `SCENARIO_ID` and `API_KEY`. The exact snippet is available in the Quickchat AI app under MCP > Integration.

2

How do I make my MCP public without sharing my API key?

On the Quickchat AI app MCP page, turn the **Require API key** toggle **OFF**. Then share the configuration snippet that omits the `API_KEY` environment variable.

3

What prerequisites are needed to run the server?

You must install `uv` using `curl -LsSf https://astral.sh/uv/install.sh | sh` or follow the official installation guide.

4

What environment variables are required?

The configuration expects `SCENARIO_ID` and `API_KEY` (unless public mode is enabled). These values are found in the Quickchat AI app under MCP > Integration.

5

Is this MCP a static tool or can it handle open-ended conversations?

It is an open-ended way to send messages to Quickchat AI agents. Unlike most MCP implementations, it is not a static tool—agents can carry dynamic, multi-turn interactions.

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