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Google Search for Local LLMs — No API Key Required. MCP server using headless Chromium via Playwright.

Project description

noapi-google-search-mcp

Google Search for Local LLMs — No API Key Required

An MCP (Model Context Protocol) server that gives your local LLM real Google search and browsing abilities using headless Chromium via Playwright. No Google API key, no Custom Search Engine setup, no usage limits — just real Google results.

Works with LM Studio, Claude Desktop, and any MCP-compatible client.

Why This Instead of API-Based Alternatives?

noapi-google-search-mcp API-based MCP servers
API key required No Yes (Google CSE API)
Cost Free Paid after 100 queries/day
Setup time pip install + go Create Google Cloud project, enable API, get key, configure CSE
Results quality Real Google results Custom Search Engine (different ranking)
JavaScript pages Renders them (Chromium) Cannot render JS
Google Maps Built-in Not available
Google Weather Built-in Not available
Google Finance Built-in Not available
Google News Built-in Usually not available
Google Scholar Built-in Not available
Google Images Built-in Separate API needed
Google Trends Built-in Separate API needed
Page fetching Built-in visit_page tool Usually separate

Tools

google_maps — Places Search

Search Google Maps for restaurants, businesses, and places with ratings, addresses, and reviews.

Parameters:

Parameter Description Example
query Place search query (required) "pizza near Central Park"
num_results Number of results (1-10, default 5) 5

google_weather — Weather Lookup

Get current weather conditions and forecast for any location worldwide.

Parameters:

Parameter Description Example
location City or location (required) "Dubai", "New York", "Tokyo"

Returns: temperature (°C/°F), condition, precipitation, humidity, wind, and multi-day forecast.


google_finance — Stock & Market Data

Look up stock prices, market data, and company information from Google Finance.

Parameters:

Parameter Description Example
query Stock ticker with exchange or company name (required) "AAPL:NASDAQ", "TSLA:NASDAQ"

Returns: current price, change, market info, key stats, and company description.


google_search — Web Search

Search Google and get structured results with titles, URLs, and snippets.

Parameters:

Parameter Description Example
query Search query (required) "best python frameworks 2025"
num_results Number of results (1-10, default 5) 5
time_range Filter by recency "past_hour", "past_day", "past_week", "past_month", "past_year"
site Limit to a domain "reddit.com", "stackoverflow.com", "github.com", "arxiv.org", "news.ycombinator.com"
page Results page (1-10, default 1) 2 for next page
language Language code "en", "de", "fr", "es", "ja", "zh"
region Country/region code "us", "gb", "de", "fr", "jp"

How your LLM uses it: The LLM automatically sees these parameters in the tool definition. When you ask "search Reddit for Python tips from the past week", it will call google_search(query="Python tips", site="reddit.com", time_range="past_week").


google_news — News Search

Search Google News for recent headlines with source and timestamp.

Parameters:

Parameter Description Example
query News search query (required) "AI regulation"
num_results Number of results (1-10, default 5) 5

google_scholar — Academic Search

Search Google Scholar for papers, citations, and research.

Parameters:

Parameter Description Example
query Academic search query (required) "transformer attention mechanism"
num_results Number of results (1-10, default 5) 5

Returns: title, URL, authors, citation count, and snippet for each paper.


google_images — Image Search

Search Google Images and get image URLs.

Parameters:

Parameter Description Example
query Image search query (required) "sunset over ocean"
num_results Number of results (1-10, default 5) 5

google_trends — Trends Lookup

Check Google Trends for topic interest, related topics, and related queries.

Parameters:

Parameter Description Example
query Topic to check trends for (required) "artificial intelligence"

visit_page — Page Fetcher

Fetch any URL and extract readable text content. Use after search to read full articles.

Parameters:

Parameter Description Example
url Full URL to fetch (required) "https://example.com/article"

How Does the LLM Know About These Tools?

You don't need to teach the LLM anything. MCP automatically exposes all tool names, descriptions, and parameters to the model. The LLM picks the right tool and parameters automatically based on your request.

Sample Prompts

Here are example prompts you can type into LM Studio or Claude Desktop, and which tool the LLM will use:

Maps & Places

What you type Tool called Parameters used
"Find Italian restaurants near Times Square" google_maps query
"Where are the best coffee shops in Berlin?" google_maps query
"Search for hotels in Tokyo" google_maps query
"Find EV charging stations in San Francisco" google_maps query
"What are the top-rated gyms in London?" google_maps query

Weather

What you type Tool called
"What's the weather in Dubai?" google_weather
"Is it going to rain in London today?" google_weather
"What's the temperature in New York?" google_weather
"Weather forecast for Tokyo this week" google_weather

Finance & Stocks

What you type Tool called
"What's Apple's stock price?" google_finance
"How is Tesla stock doing?" google_finance
"Look up NVIDIA market cap" google_finance
"How is the S&P 500 doing today?" google_finance

Web Search

What you type Tool called Parameters used
"Search for the best Python web frameworks" google_search query
"Find Reddit discussions about home lab setups" google_search query + site="reddit.com"
"Search Stack Overflow for async Python examples" google_search query + site="stackoverflow.com"
"What's new in AI this week?" google_search query + time_range="past_week"
"Search Hacker News for posts about Rust" google_search query + site="news.ycombinator.com"
"Find GitHub repos for MCP servers" google_search query + site="github.com"
"Get page 2 of results for machine learning tutorials" google_search query + page=2
"Search for restaurants in Tokyo in Japanese" google_search query + language="ja" + region="jp"
"Find German news about the EU from the past month" google_search query + language="de" + time_range="past_month"

News

What you type Tool called
"What are today's top headlines?" google_news
"Any recent news about the stock market?" google_news
"What happened in the Japan election?" google_news

Academic Research

What you type Tool called
"Find papers on transformer attention mechanisms" google_scholar
"Look up academic research about CRISPR" google_scholar
"What does the research say about intermittent fasting?" google_scholar

Images

What you type Tool called
"Show me images of the Northern Lights" google_images
"Find diagrams of neural network architecture" google_images

Trends

What you type Tool called
"What's trending in tech right now?" google_trends
"Is Python more popular than JavaScript?" google_trends

Page Reading

What you type Tool called
"Read this article for me: https://..." visit_page
"What does this page say? https://..." visit_page

Installation

Quick Install (pipx — recommended)

pipx install noapi-google-search-mcp
playwright install chromium

This puts noapi-google-search-mcp on your PATH so you can use it directly.

Install in a Virtual Environment

If you don't have pipx, install in a dedicated venv:

python3 -m venv ~/.local/share/noapi-google-search-mcp
~/.local/share/noapi-google-search-mcp/bin/pip install noapi-google-search-mcp
~/.local/share/noapi-google-search-mcp/bin/playwright install chromium

Configuration

LM Studio

Add to ~/.lmstudio/mcp.json:

If installed with pipx (command is on PATH):

{
  "mcpServers": {
    "google-search": {
      "command": "noapi-google-search-mcp",
      "env": {
        "PYTHONUNBUFFERED": "1"
      }
    }
  }
}

If installed in a venv (use the full path):

{
  "mcpServers": {
    "google-search": {
      "command": "~/.local/share/noapi-google-search-mcp/bin/noapi-google-search-mcp",
      "env": {
        "PYTHONUNBUFFERED": "1"
      }
    }
  }
}

Claude Desktop

Add to your Claude Desktop config (claude_desktop_config.json):

{
  "mcpServers": {
    "google-search": {
      "command": "noapi-google-search-mcp"
    }
  }
}

If installed in a venv, use the full path to the binary instead.

As a CLI

noapi-google-search-mcp

Or:

python -m google_search_mcp

Development

git clone https://github.com/VincentKaufmann/google-search-mcp.git
cd google-search-mcp
pip install -e .
playwright install chromium

License

MIT

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