What are the requirements to run the Bing Search MCP Server?
Python 3.10 or higher, a Microsoft Bing Search API key, and an MCP-compatible client such as Claude Desktop or Cursor.
@leehanchung
基本信息
MCP Server for Bing Search API
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"bing-search": {
"command": "uvx",
"args": [
"bing-search-mcp"
],
"env": {
"BING_API_KEY": ""
}
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
Bing Search MCP Server is a Model Context Protocol (MCP) server that integrates with the Microsoft Bing Search API, allowing AI assistants to perform web, news, and image searches directly.
Install dependencies with uv, set the BING_API_KEY environment variable, and run uvx bing-search-mcp. Configure the server in an MCP-compatible client (e.g., Claude Desktop) by adding the appropriate entry to the client's configuration JSON file.
Python 3.10 or higher, a Microsoft Bing Search API key, and an MCP-compatible client such as Claude Desktop or Cursor.
Visit the Microsoft Azure Portal, create a new Bing Search resource, then find your API key under the "Keys and Endpoint" section of that resource.
Add an entry to the Claude Desktop configuration file (e.g., `~/Library/Application Support/Claude/claude_desktop_config.json`) with the command `uvx`, the path to the server, and the `BING_API_KEY` environment variable.
Three tools are available: `bing_web_search`, `bing_news_search`, and `bing_image_search`. Each accepts parameters such as `query`, `count`, `market`, and (for news) `freshness`.
Yes, the server implements rate limiting to prevent API abuse and ensure fair usage.

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