Baidu Search

🚀 Baidu Search MCP Server

This is a Baidu search server implementation for the Model Context Protocol (MCP), which allows AI assistants to conduct intelligent searches using Baidu Wenxin API.

🚀 Quick Start

This Baidu Search MCP Server enables AI assistants to perform intelligent searches with Baidu Wenxin API. Here's how you can get started.

✨ Features

• Intelligent Search: Supports intelligent searches using Baidu Wenxin API.
• Multiple Model Support: Allows selection from multiple models, including "ernie-3.5-8k", "ernie-4.0-8k", "deepseek-r1", and "deepseek-v3".
• Search Results and References: Provides search results along with reference sources.
• Advanced Search Options: Supports deep search and recency filtering.

📦 Installation

To install the necessary dependencies, run the following command:

npm install @modelcontextprotocol/sdk axios

🛠️ Configuration

Step 1: Obtain Baidu Wenxin API Key

• Visit Baidu Smart Cloud.
• Create an application and obtain the API key.

Step 2: Set Environment Variables

export BAIDU_API_KEY=your_api_key_here

💻 Usage Examples

Run as an Independent Server

To start the server, run the following command:

node build/index.js

Use in MCP Configuration

Add the following configuration to your MCP settings file:

{
  "mcpServers": {
    "baidu-search": {
      "command": "node",
      "args": ["/path/to/baidu-search-mcp/build/index.js"],
      "env": {
        "BAIDU_API_KEY": "your_api_key_here"
      },
      "disabled": false,
      "autoApprove": []
    }
  }
}

📚 Documentation

baidu_search

The search tool supports the following parameters:

👨‍💻 Development

Step 1: Clone the Repository

Step 2: Install Dependencies

npm install

Step 3: Compile TypeScript

npm run build

📄 License

This project is licensed under the MIT License.

🤝 Contribution

Issues and Pull Requests are welcome!

⚠️ Disclaimer

This project is not responsible for the use of API keys. Please ensure compliance with the terms and policies of Baidu Wenxin API.