A
adenot/mcp-google-search
Google results through the Custom Search API
View on GitHub ↗Link checked 2026-11-12 · HTTP 200 · opens the vendor's own site
Install & config
Client config (built from the install command this repo gives)
{
"mcpServers": {
"adenot-mcp-google-search": {
"command": "npx",
"args": ["-y", "@adenot/mcp-google-search"]
}
}
}Parsed from the README we fetched on 2026-11-05; we have not executed it.
command/args come from the install command the repository states. When it is ambiguous, the project README wins.
VS Code (.vscode/mcp.json - the key is servers)
{
"servers": {
"adenot-mcp-google-search": {
"command": "npx",
"args": ["-y", "@adenot/mcp-google-search"]
}
}
}Same server, but VS Code keeps it under <code>servers</code>.
Claude Code (command line)
claude mcp add --transport stdio adenot-mcp-google-search -- npx -y @adenot/mcp-google-search
Claude Code does not read a config file; add the server with this command.
Key names differ by client: Clients & CLI
- Source
- collected from the abordage/awesome-mcp list · type: MCP server
- Harvest history
- first seen 2026-11-05 · last seen 2026-11-14 · seen 10× · listed by 10 sources
- Score
- score 1,003 · 10 sources · mcp
- Install
npx -y @adenot/mcp-google-search
FAQ (answers come from our records)
How do I install it?
The repository provides this install command:
npx -y @adenot/mcp-google-search. It comes from the repository itself; we cannot guarantee it runs as-is in your client.Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
first catalogued 2026-11-05；last seen 2026-11-14。There is no official certification or quality rating here — we record sources and dates only.
# mcp-google-server A MCP Server for Google Custom Search and Webpage Reading
以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →
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
1. Create a Google Cloud Project:
Go to Google Cloud Console
Create a new project or select an existing one
Enable billing for your project
2. Enable Custom Search API:
Go to API Library
Search for "Custom Search API"
Click "Enable"
3. 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
4. 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:
bash
npm install
Build the server:
bash
npm run build
For development with auto-rebuild:
bash
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:
bash
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/claudedesktopconfig.json
On Windows: %APPDATA%/Claude/claudedesktopconfig.json
json
"mcpServers": {
"google-search": {
"command": "npx",
"args": [
"-y",
"@adenot/mcp-google-search"
],
"env": {
"GOOGLEAPIKEY": "your-api-key-here",
"GOOGLESEARCHENGINEID": "your-search-engine-id-here"
## Usage
### Search Tool
json
"name": "search",
"arguments": {
"query": "your search query",
"num": 5 // optional, default is 5, max is 10
### Webpage Reader Tool
json
"name": "readwebpage",
"arguments": {
"url": "https://example.com"
## Setup
### Getting Google API Key and Search Engine ID
1. Create a Google Cloud Project:
Go to Google Cloud Console
Create a new project or select an existing one
Enable billing for your project
2. Enable Custom Search API:
Go to API Library
Search for "Custom Search API"
Click "Enable"
3. 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
4. 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:
bash
npm install
Build the server:
bash
npm run build
For development with auto-rebuild:
bash
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:
bash
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/claudedesktopconfig.json
On Windows: %APPDATA%/Claude/claudedesktopconfig.json
json
"mcpServers": {
"google-search": {
"command": "npx",
"args": [
"-y",
"@adenot/mcp-google-search"
],
"env": {
"GOOGLEAPIKEY": "your-api-key-here",
"GOOGLESEARCHENGINEID": "your-search-engine-id-here"
## Usage
### Search Tool
json
"name": "search",
"arguments": {
"query": "your search query",
"num": 5 // optional, default is 5, max is 10
### Webpage Reader Tool
json
"name": "readwebpage",
"arguments": {
"url": "https://example.com"
Listed badge (optional)
Copy this line into the README if you want the listing mark. Optional, and it does not affect being listed.
[](https://anclum.com/en/s/adenot-mcp-google-search/)
- Source
- awesome · https://github.com/adenot/mcp-google-search
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