Baidu Search MCP
What is Baidu Search MCP
Baidu Search MCP is an implementation of the Model Context Protocol (MCP) that allows AI assistants to perform intelligent searches using the Baidu Wenxin API.
Use cases
Use cases include integrating intelligent search in customer service chatbots, enhancing search functionalities in applications, and providing users with timely and relevant information through AI-driven searches.
How to use
To use Baidu Search MCP, you need to install the required packages, obtain an API key from Baidu, set the environment variable for the API key, and then run the server either as a standalone application or within your MCP configuration.
Key features
Key features include support for intelligent searches via the Baidu Wenxin API, multiple model options (ernie-3.5-8k, ernie-4.0-8k, deepseek-r1, deepseek-v3), provision of search results with references, and capabilities for deep search and recency filtering.
Where to use
Baidu Search MCP can be used in various domains where intelligent search capabilities are required, such as chatbots, virtual assistants, and applications needing enhanced search functionalities.
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 Baidu Search MCP
Baidu Search MCP is an implementation of the Model Context Protocol (MCP) that allows AI assistants to perform intelligent searches using the Baidu Wenxin API.
Use cases
Use cases include integrating intelligent search in customer service chatbots, enhancing search functionalities in applications, and providing users with timely and relevant information through AI-driven searches.
How to use
To use Baidu Search MCP, you need to install the required packages, obtain an API key from Baidu, set the environment variable for the API key, and then run the server either as a standalone application or within your MCP configuration.
Key features
Key features include support for intelligent searches via the Baidu Wenxin API, multiple model options (ernie-3.5-8k, ernie-4.0-8k, deepseek-r1, deepseek-v3), provision of search results with references, and capabilities for deep search and recency filtering.
Where to use
Baidu Search MCP can be used in various domains where intelligent search capabilities are required, such as chatbots, virtual assistants, and applications needing enhanced search functionalities.
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
Baidu Search MCP Server
这是一个用于 Model Context Protocol (MCP) 的百度搜索服务器实现，它允许AI助手使用百度文心API进行智能搜索。
功能特性
- 支持使用百度文心API进行智能搜索
- 支持多种模型选择（ernie-3.5-8k, ernie-4.0-8k, deepseek-r1, deepseek-v3）
- 提供搜索结果和参考来源
- 支持深度搜索和时效性过滤
安装
npm install @modelcontextprotocol/sdk axios
配置
-
首先需要获取百度文心API密钥：
- 访问 百度智能云
- 创建应用并获取API密钥
-
设置环境变量：
export BAIDU_API_KEY=your_api_key_here
使用方法
作为独立服务器运行
node build/index.js
在MCP配置中使用
在你的MCP设置文件中添加以下配置：
{
"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": []
}
}
}API
baidu_search
搜索工具支持以下参数：
query(必需): 搜索查询文本model: 使用的模型名称- 可选值: “ernie-3.5-8k”, “ernie-4.0-8k”, “deepseek-r1”, “deepseek-v3”
- 默认值: “ernie-3.5-8k”
search_mode: 搜索模式- 可选值: “auto”, “required”, “disabled”
- 默认值: “auto”
enable_deep_search: 是否开启深度搜索（默认：false）search_recency_filter: 搜索结果的时效性范围- 可选值: “week”, “month”, “semiyear”, “year”
开发
- 克隆仓库
- 安装依赖：
npm install
- 编译TypeScript：
npm run build
许可证
MIT License
贡献
欢迎提交 Issues 和 Pull Requests！
免责声明
本项目不对API密钥的使用承担责任，请确保遵守百度文心API的使用条款和政策。
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.
