Version 2.0 is here MCP Server

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关于 Version 2.0 is here MCP Server

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Version 2.0 is here MCP Server 配置

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Version 2.0 is here MCP Server 工具

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概览

What is Google Search MCP Server?

An MCP (Model Context Protocol) server that provides Google search capabilities and webpage content analysis tools. It enables AI models to perform Google searches, extract webpage content, and analyze results programmatically.

How to use Google Search MCP Server?

Install Node.js dependencies, build TypeScript, and configure your Google API credentials (GOOGLE_API_KEY, GOOGLE_SEARCH_ENGINE_ID) in the MCP settings file. Start the server with npm run start. Invoke tools like google_search, extract_webpage_content, or extract_multiple_webpages via any MCP client.

Key features of Google Search MCP Server

Google Custom Search integration with advanced filters and pagination
Webpage content extraction in Markdown, HTML, or plain text
Batch analysis of multiple webpages in a single request
Automatic result categorization and content summarization
Optimized, human-readable search result responses
MCP-compliant interface with caching for performance

Use cases of Google Search MCP Server

Searching the web for current information and returning structured results
Extracting and summarizing article content from a URL
Comparing information from multiple sources simultaneously
Filtering search results by site, language, date, or exact terms
Paginating through large result sets programmatically

常见问题

What prerequisites are needed?

Node.js v16 or higher, a Google Cloud Platform account, a Custom Search Engine ID, and a Google API Key.

How do I configure the server?

Set environment variables `GOOGLE_API_KEY` and `GOOGLE_SEARCH_ENGINE_ID`, then add the server configuration to your MCP settings file (e.g., `cline_mcp_settings.json`) with the `stdio` transport type.

What tools are available?

Three tools: `google_search` (with optional filters and pagination), `extract_webpage_content` (single URL), and `extract_multiple_webpages` (batch URLs). All support auto-approval in MCP settings.

What happens if my API credentials are invalid?

The server returns detailed error messages for missing or invalid API credentials, failed search requests, invalid URLs, and network connectivity issues.

Where does the data live?

Search results and webpage content are fetched live from Google and the target websites. The server caches responses locally to reduce API calls, but no data is stored permanently.

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