Google Search
Web search and webpage content extraction using the Google Custom Search API.
mcp-google-server A MCP Server for Google Custom Search and Webpage Reading
A Model Context Protocol server that provides web search capabilities using Google Custom Search API and webpage content extraction functionality.
Setup
Getting Google API Key and Search Engine ID
-
Create a Google Cloud Project:
- Go to Google Cloud Console
- Create a new project or select an existing one
- Enable billing for your project
-
Enable Custom Search API:
- Go to API Library
- Search for "Custom Search API"
- Click "Enable"
-
Get API Key:
- Go to Credentials
- Click "Create Credentials" > "API Key"
- Copy your API key
- (Optional) Restrict the API key to only Custom Search API
-
Create Custom Search Engine:
- Go to Programmable Search Engine
- Enter the sites you want to search (use www.google.com for general web search)
- Click "Create"
- On the next page, click "Customize"
- In the settings, enable "Search the entire web"
- Copy your Search Engine ID (cx)
Development
Install dependencies:
npm install
Build the server:
npm run build
For development with auto-rebuild:
npm run watch
Features
Search Tool
Perform web searches using Google Custom Search API:
- Search the entire web or specific sites
- Control number of results (1-10)
- Get structured results with title, link, and snippet
Webpage Reader Tool
Extract content from any webpage:
- Fetch and parse webpage content
- Extract page title and main text
- Clean content by removing scripts and styles
- Return structured data with title, text, and URL
Installation
Installing via Smithery
To install Google Custom Search Server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @adenot/mcp-google-search --client claude
To use with Claude Desktop, add the server config with your Google API credentials:
On MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json
{
"mcpServers": {
"google-search": {
"command": "npx",
"args": [
"-y",
"@adenot/mcp-google-search"
],
"env": {
"GOOGLE_API_KEY": "your-api-key-here",
"GOOGLE_SEARCH_ENGINE_ID": "your-search-engine-id-here"
}
}
}
}
Usage
Search Tool
{
"name": "search",
"arguments": {
"query": "your search query",
"num": 5 // optional, default is 5, max is 10
}
}
Webpage Reader Tool
{
"name": "read_webpage",
"arguments": {
"url": "https://example.com"
}
}
Example response from webpage reader:
{
"title": "Example Domain",
"text": "Extracted and cleaned webpage content...",
"url": "https://example.com"
}
Debugging
Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector, which is available as a package script:
npm run inspector
The Inspector will provide a URL to access debugging tools in your browser.
관련 서버
Crypto News MCP Server
Provides real-time cryptocurrency news for AI agents using the NewsData.io API.
Simple Files Vectorstore
Provides semantic search across local files by creating vector embeddings from watched directories.
Esports Events
Get the latest information about esports matches. 50+ supported games: Counter-Strike, Valorant, League of Legends, Rocket League, ...
Docs MCP Server
Creates a personal, always-current knowledge base for AI by indexing documentation from websites, GitHub, npm, PyPI, and local files.
Ubersuggest
Perform AI-assisted SEO analysis using Neil Patel's Ubersuggest platform.
Brave Search
An MCP server for the Brave Search API, providing both web and local search capabilities.
Rememberizer MCP Server for Common Knowledge
Access and search personal or team knowledge repositories, including documents and Slack discussions, using semantic search and retrieval tools.
Manalink MCP Server
An MCP server implementation for Manalink that allows AI assistants to use functions like teacher search.
IP2Location.io
IP2Location.io API integration to retrieve the geolocation information for an IP address.
Haloscan MCP Server
An MCP server for interacting with the Haloscan SEO API.