
MCP Google Server
Provides web search capabilities using Google Custom Search API, enabling users to perform searches through a Model Context Protocol server.
Tools
search
Perform a web search query
read_webpage
Fetch and extract text content from a webpage
README
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.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.