Openai Agents Sdk Mcp
What is Openai Agents Sdk Mcp
openai-agents-sdk-mcp is a minimal SDK that utilizes OpenAI’s Agents to create AI agents powered by the MCP server.
Use cases
Use cases include developing intelligent chatbots, automating information retrieval from the web, and creating interactive AI applications that leverage OpenAI’s capabilities.
How to use
To use openai-agents-sdk-mcp, clone the repository, set up a Python virtual environment, install the required packages, configure environment variables in a .env file, and run the main application using ‘python main.py’.
Key features
Key features include integration with OpenAI API and Brave Search API, easy setup through a virtual environment, and a simple command structure for executing AI agents.
Where to use
openai-agents-sdk-mcp can be used in various fields such as AI development, chatbot creation, and automated search applications.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Openai Agents Sdk Mcp
openai-agents-sdk-mcp is a minimal SDK that utilizes OpenAI’s Agents to create AI agents powered by the MCP server.
Use cases
Use cases include developing intelligent chatbots, automating information retrieval from the web, and creating interactive AI applications that leverage OpenAI’s capabilities.
How to use
To use openai-agents-sdk-mcp, clone the repository, set up a Python virtual environment, install the required packages, configure environment variables in a .env file, and run the main application using ‘python main.py’.
Key features
Key features include integration with OpenAI API and Brave Search API, easy setup through a virtual environment, and a simple command structure for executing AI agents.
Where to use
openai-agents-sdk-mcp can be used in various fields such as AI development, chatbot creation, and automated search applications.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
openai-agents-sdk-mcp minimal
OpenAIのAgents SDKを使用して、MCPサーバーを利用したAIエージェントを作成します。
目次
環境のセットアップ
-
このリポジトリをクローンします。
-
Python仮想環境を作成してアクティベートします。
# uvをインストール（初回のみ）
sudo snap install astral-uv --classic
# 仮想環境の作成
uv venv
# 仮想環境のアクティベート
source .venv/bin/activate
- 必要なパッケージをインストールします。
uv pip install -r requirements.txt
.envファイルを作成します。
cp .env.example .env
環境変数
以下の環境変数を.envファイルに設定する必要があります：
| 環境変数 | 説明 | 取得方法 |
|---|---|---|
OPENAI_API_KEY |
OpenAI APIのキー | OpenAIのダッシュボードから取得 |
BRAVE_API_KEY |
Brave Search APIのキー | Brave Search APIから取得 |
OPENAI_API_KEY=your_openai_api_key BRAVE_API_KEY=your_brave_api_key
環境に応じた設定
main.pyのnpxコマンドのパスは、使用する環境に応じて変更してください：
"command": "npx"
参考：
"command": "/Users/user/.volta/bin/npx", # MacOS環境用（volta利用時）
"command": "C:\\Program Files\\nodejs\\npx.cmd", # Windows環境用
実行方法
プログラムを実行します：
python main.py
プロジェクト構造
. ├── main.py # メインのアプリケーションファイル ├── README.md # プロジェクトのドキュメント ├── requirements.txt # Pythonの依存関係 ├── .env.example # 環境変数のテンプレート └── .gitignore # Gitの除外設定
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
