智谱 Web Search MCP 工具（STDIO）

Created By

zgccrui9 months ago

一个通过智谱 AI 开放平台（BigModel）的 Web Search API 提供网页搜索能力的命令行工具，并符合 Model-Code-Protocol (MCP) 规范。可以通过标准输入/输出（STDIO）与客户端通信

Overview

What is Zhipu Web Search?

Zhipu Web Search is a command-line tool that provides web search capabilities through the Zhipu AI Open Platform's Web Search API, adhering to the Model-Code-Protocol (MCP) specifications.

How to use Zhipu Web Search?

To use Zhipu Web Search, you need to obtain an API Key from the Zhipu AI Open Platform. You can run the tool directly using npx without global installation, integrating it with any MCP-compliant client.

Key features of Zhipu Web Search?

Calls the Zhipu Search API to perform web searches.
Formats the returned JSON results into human-readable text.
Operates as an MCP server, allowing communication via standard input/output (STDIO).

Use cases of Zhipu Web Search?

Performing web searches for specific queries.
Integrating with AI clients for enhanced search capabilities.
Filtering search results based on domain or recency.

FAQ from Zhipu Web Search?

How do I get an API Key?

You can obtain an API Key from the Zhipu AI Open Platform.

Can I use this tool without installation?

Yes! You can use it directly with npx without needing to install it globally.

What search engines are supported?

The tool supports multiple search engines including Zhipu Standard, Zhipu Pro, Sogou, Quark, Jina.ai, and Bing.

Server Config

{
  "mcpServers": {
    "zhipu-web-search": {
      "command": "npx",
      "args": [
        "cc-zhipu-web-search"
      ],
      "env": {
        "BIGMODEL_API_KEY": "<YOUR_BIGMODEL_API_KEY>"
      }
    }
  }
}

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Zhipu Web SearchZhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.