The Google Search MCP Server enables AI models to perform Google searches and analyze webpage content programmatically.
Google Search: Conduct searches with advanced filters (country, language, date range, safe search) and control result count (up to 10).
Webpage Content Extraction: Extract readable content from public webpages in various formats (markdown, HTML, plain text), removing clutter like ads and navigation.
Content Analysis: Get detailed insights including titles, descriptions, summaries, and statistics (word count, character count).
Batch Processing: Extract and analyze content from up to 5 webpages simultaneously in a single request.
Integration: Seamlessly integrate with AI models using MCP-compliant interfaces.
Error Handling: Provides detailed error messages for troubleshooting.
Provides Google search capabilities to AI models through an MCP server interface, allowing for advanced search queries with filtering options for date, language, country, and safe search
Integrates with Google Cloud Platform for API credentials and Custom Search capabilities needed to power the Google search functionality
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Google Search MCP Serverresearch the latest AI safety guidelines for large language models"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Check out the 'Serp API' Branch
https://github.com/mixelpixx/Google-Search-MCP-Server/tree/serpapi-only
Google Research MCP Server
Version 3.0.0 - Enhanced research synthesis with intelligent source quality assessment and deduplication.
An advanced Model Context Protocol (MCP) server that provides comprehensive Google search capabilities, webpage content extraction, and AI-powered research synthesis. Built for Claude Code, Claude Desktop, and other MCP-compatible clients.
Related MCP server: Google Research MCP
Multi-Provider Search Support (v3.0+)
NEW: This server now supports multiple search providers! Choose the best option for your needs.
Supported Search Providers
Provider | Free Tier | Paid Pricing | Status | Best For |
Brave (Recommended) | 2,000/month | $3/mo (5k) | Active | General use, privacy, cost-effective |
Tavily | 1,000/month | $30/mo (4k) | Active | AI research, synthesis, quality |
100/day | $5/1k queries | Sunsets 2027 | Legacy users only |
Recommended: Use Brave for most use cases (10-20x better free tier than Google).
Quick Setup by Provider
Brave Search (Recommended)
2,000 free queries/month (no credit card)
Privacy-focused, no tracking
$3/month for 5,000 queries
No sunset date announced
Tavily Search (For AI Research)
1,000 free queries/month
AI-optimized with quality scoring
Advanced search depth (10-30s per query)
Best for synthesis and research
Google Custom Search (Legacy)
API sunsets January 1, 2027
Closed to new users (2024)
Only 100 queries/day free
Higher costs ($5/1,000 queries)
Migration Guide: See MIGRATION.md for detailed migration instructions.
Google API Status (For Legacy Users)
For New Users
Google has CLOSED the Custom Search JSON API to new customers as of 2026.
If you don't have a Google API key:
You CANNOT get one anymore
Use Brave or Tavily instead (see above)
Both providers work with all MCP tools
For Existing Google Users
Important Dates:
January 1, 2027: Google Custom Search API sunsets
Action Required: Migrate to Brave or Tavily (see MIGRATION.md)
Current Limits:
100 queries per day FREE
After 100: $5 per 1,000 queries (max 10k/day)
Monitor Your Usage:
Enable billing: https://console.cloud.google.com/billing
Quick Troubleshooting
Error: "not working" or "403 Forbidden"
Check if you hit the 100/day limit (wait until tomorrow or enable billing)
Verify API is enabled: https://console.cloud.google.com/apis/library/customsearch.googleapis.com
Check your API key is correct in
.env
Error: "429 Too Many Requests"
You exceeded 100 queries/day
Wait for midnight UTC reset OR enable billing
Need more than 100/day?
Enable billing: https://console.cloud.google.com/billing
Cost: $5 per 1,000 queries
Overview
This MCP server transforms Google search into a powerful research tool by:
Intelligent Source Ranking - Automatically scores sources by authority, recency, and credibility
Deduplication - Removes duplicate URLs and similar content across search results
Agent-Based Synthesis - Leverages your existing Claude session to synthesize research findings
Focus Area Analysis - Provides dedicated analysis for specific aspects of your research topic
Quality Metrics - Tracks source diversity, authority, and content freshness
Quick Start
Prerequisites
Node.js 18 or higher
Google Cloud Platform account with Custom Search API enabled
Google Custom Search Engine ID
Installation
Option 1: Using npx (Recommended)
Run directly without cloning:
Or create a .env file in your working directory with your credentials, then run:
Option 2: Clone and Build
Note: The googleapis package is now optional. If you're using Brave or Tavily, you don't need to install it. This reduces installation size and dependencies.
Configuration
Create a .env file in the project root:
For Brave (Recommended)
For Tavily
For Google (Legacy)
Note: No Anthropic API key is required. The server uses agent-based synthesis that leverages your existing Claude session.
Usage Tracking (Optional)
Track your API usage and costs to prevent unexpected bills:
Benefits:
Monitor usage across all providers
Get warnings at 80% and 100% of limits
Prevent quota overruns
Track estimated costs
Historical data with SQLite persistence
Running the Server
Expected output (with Brave):
Expected output (with Google):
With usage tracking enabled:
Features
Core Capabilities
1. Advanced Google Search
Full-text search with quality scoring
Domain filtering and date restrictions
Result categorization (academic, official docs, news, forums, etc.)
Automatic deduplication of results
Source authority ranking
2. Content Extraction
Clean content extraction from web pages
Multiple output formats (Markdown, HTML, plain text)
Configurable preview lengths
Batch extraction support (up to 5 URLs)
Automatic content summarization
3. Research Synthesis
Agent-based research analysis
Comprehensive source synthesis
Focus area breakdowns
Contradiction detection
Actionable recommendations
Quality metrics reporting
Research Depth Levels
Depth | Sources | Analysis | Use Case |
basic | 3 | Quick overview, 3-5 findings | Fast comparisons, initial research |
intermediate | 5 | Comprehensive analysis, 5-7 findings | Standard research tasks |
advanced | 8-10 | In-depth analysis, 7-10 findings, contradictions | Decision-making, comprehensive reviews |
Usage Examples
Basic Research
Returns:
3 high-quality sources
Brief overview (2-3 paragraphs)
3-5 key findings
Quality metrics
Comprehensive Research with Focus Areas
Returns:
8 authoritative sources
In-depth executive summary
7-10 detailed findings
Common themes across sources
Dedicated analysis for each focus area
Contradictions between sources
Actionable recommendations
Comprehensive quality metrics
Targeted Search
Returns:
Quality-scored results
Duplicate removal report
Source type classification
Authority ratings
Content Extraction
Returns:
Clean extracted content
Metadata (title, description, author)
Word count and statistics
Configurable preview
Cache information
Agent Mode
How It Works
Agent Mode is the default synthesis method. Instead of requiring a separate Anthropic API key, it uses your existing Claude session:
Research Gathering - MCP server searches, deduplicates, and ranks sources
Content Extraction - Full content extracted from top sources
Agent Prompt Generation - All research data packaged into structured prompt
Agent Launch - Claude Code automatically launches agent with research data
Synthesis - Agent analyzes sources and generates comprehensive report
Benefits
No Additional API Key - Uses your existing Claude subscription
Full Context - Agent has access to conversation history
Transparent Process - See agent analysis in real-time
Same Quality - Uses same Claude model you're already using
Alternative: Direct API Mode
For automated workflows or scripts, you can use Direct API mode:
This bypasses agent mode and calls the Anthropic API directly from the MCP server.
Architecture
Services
Data Flow
API Reference
Tools
google_search
Search Google with advanced filtering and quality scoring.
Parameters:
query(string, required) - Search querynum_results(number, optional) - Number of results (default: 5, max: 10)site(string, optional) - Limit to specific domainlanguage(string, optional) - ISO 639-1 language codedateRestrict(string, optional) - Date filter (e.g., "m6" for last 6 months)exactTerms(string, optional) - Exact phrase matchingresultType(string, optional) - Filter by type (image, news, video)page(number, optional) - Paginationsort(string, optional) - Sort by relevance or date
Returns:
Ranked search results with quality scores
Deduplication statistics
Source categorization
Pagination info
Cache metadata
extract_webpage_content
Extract clean content from a webpage.
Parameters:
url(string, required) - Target URLformat(enum, optional) - Output format: markdown, html, text (default: markdown)full_content(boolean, optional) - Return full content (default: false)max_length(number, optional) - Maximum content lengthpreview_length(number, optional) - Preview length (default: 500)
Returns:
Extracted content
Metadata (title, description, author)
Statistics (word count, character count)
Content summary
Cache information
extract_multiple_webpages
Batch extract content from multiple URLs (max 5).
Parameters:
urls(array, required) - Array of URLs (max 5)format(enum, optional) - Output format
Returns:
Extracted content per URL
Error details for failed extractions
Cache metadata
research_topic
Comprehensive research with AI synthesis.
Parameters:
topic(string, required) - Research topicdepth(enum, optional) - Analysis depth: basic, intermediate, advanced (default: intermediate)num_sources(number, optional) - Number of sources (default: varies by depth)focus_areas(array, optional) - Specific aspects to analyze
Returns:
Executive summary
Key findings with citations
Common themes
Focus area analysis (if specified)
Contradictions between sources
Recommendations
Quality metrics (source diversity, authority, freshness)
Source list with quality scores
Configuration Options
Environment Variables
Variable | Required | Default | Description |
| Yes | - | Google Custom Search API key |
| Yes | - | Custom Search Engine ID |
| No | - | For Direct API mode only |
| No | false | Enable Direct API mode |
| No | stdio | Transport mode: stdio or http |
| No | 3000 | Port for HTTP mode |
Performance
Response Times
Operation | Typical Duration | Notes |
google_search | 1-2s | Includes quality scoring and deduplication |
extract_webpage_content | 2-3s | Per URL |
research_topic (basic) | 8-10s | 3 sources with agent synthesis |
research_topic (intermediate) | 12-15s | 5 sources with comprehensive analysis |
research_topic (advanced) | 18-25s | 8-10 sources with deep analysis |
Quality Improvements Over v2
Metric | v2 | v3 | Improvement |
Summary Quality | 2/10 | 9/10 | 350% |
Source Diversity | Not tracked | Optimized | New |
Duplicate Removal | 0% | ~30% | New |
Source Ranking | Random | By quality | New |
Focus Area Support | Generic | Dedicated | New |
Error Helpfulness | 3/10 | 9/10 | 200% |
Troubleshooting
Agent Mode Not Working
Symptoms: Research returns basic concatenation instead of synthesis
Solutions:
Verify server shows "AGENT MODE" on startup
Check for
[AGENT_SYNTHESIS_REQUIRED]in responseEnsure using v3:
npm run start:v3Rebuild:
npm run build
Quality Scores Missing
Symptoms: Search results don't show quality scores
Solutions:
Confirm running v3, not v2
Check server startup output
Verify no TypeScript compilation errors
No Results Found
Solutions:
Verify Google API key is valid
Check Custom Search Engine ID
Ensure search engine has indexing enabled
Try broader search terms
Documentation
QUICK-START.md - Fast setup guide (2 minutes)
AGENT-MODE.md - Comprehensive agent mode documentation
SETUP-V3.md - Detailed setup and testing guide
Version History
v3.0.0 (Current)
Agent-based synthesis (no API key required)
Source quality assessment and ranking
Comprehensive deduplication
Focus area analysis
Enhanced error handling with suggestions
Cache metadata transparency
Consistent preview lengths
Research depth differentiation
v2.0.0
HTTP transport support
Batch webpage extraction
Basic research synthesis
Content categorization
v1.0.0
Initial release
Google Custom Search integration
Basic content extraction
Contributing
Contributions are welcome. Please ensure:
Code follows existing style conventions
All tests pass:
npm run buildDocumentation is updated
Commit messages are descriptive
License
See LICENSE file for details.
Support
For issues, questions, or feature requests, please open an issue on GitHub.
Credits
Google Custom Search API - Search functionality
Anthropic Claude - AI-powered research synthesis
Mozilla Readability - Content extraction
MCP SDK - Model Context Protocol integration
Version: 3.0.0 Last Updated: 2025-11-07