MCP server for Google AI Search Mode with CAPTCHA handling. Free, token-efficient web research with source citations.
npm install google-ai-mode-mcpFor: All MCP-compatible LLMs (Claude, Cursor, Cline, Windsurf, Zed, etc.)
Transform your LLM's online research capabilities by connecting it directly to Google's AI Mode—getting AI-synthesized answers from 100+ sources instead of scattered search results.





Most built-in web research is mediocre. This MCP server gives any LLM professional-grade research by tapping into Google's AI Mode—the same technology that synthesizes information from dozens of websites into one cited answer.
Example Use Cases:
``
"Next.js 15 App Router best practices 2026 with server components examples"
→ AI-synthesized coding guide with inline citations [1][2][3]
"Compare PostgreSQL vs MySQL JSON performance 2026, include benchmarks"
→ Technical comparison table with real-world data
"Find the latest EU AI regulations 2026 and their impact on startups"
→ Legal overview with official government sources
"Best noise-cancelling headphones under €300, compare Sony vs Bose"
→ Product comparison with reviews and specs
"Intermittent fasting protocols 2026, include recent scientific studies"
→ Health guide with medical research citations
`
Result: Research on ANY topic—coding, tech comparisons, regulations, product reviews, health, finance, travel. Curated answers with sources. Saves tokens. Superior to generic web search.
Installation • Quick Start • How It Works • Examples • Claude Code Skill • FAQ
---
v2.0 - Multi-Language & Detection Overhaul
✅ 4-Stage Completion Detection - SVG thumbs-up → aria-label → text → 40s timeout
✅ Multi-Language Support - Works in DE/EN/NL/ES/FR/IT browser locales
✅ 87% Faster - Average 4s detection (was 2s fixed wait)
✅ AI Mode Availability Check - Detects region restrictions with proxy suggestion
✅ 17 Citation Selectors - Language-agnostic fallback chain
✅ 15 Cutoff Markers - Cleaner content extraction across languages
📖 Show previous updates
v1.5 - Persistent browser context, CAPTCHA handling improvements
v1.0 - Initial MCP server release
---
An MCP server that connects your code agent (Claude, Cursor, Cline, etc.) to Google AI Mode—Google's AI-powered search that synthesizes information from dozens of web sources into a single, cited answer.
Instead of your agent reading page after page, Google does the heavy lifting. Your agent gets one clean, structured response with inline citations.
The advantage: Free, token-efficient research with grounded sources.
---
``
Your agent asks a question
↓
Server launches stealth browser
↓
Google AI Mode searches & synthesizes dozens of sources
↓
Server extracts AI answer + citations
↓
Converts to clean Markdown with [1][2][3] references
↓
Your agent receives final answer (optionally saved to .md file)
The key difference:
Traditional web research:
- Agent searches Google → gets 10 links
- Agent reads 5-10 full pages → thousands of tokens consumed
- Agent synthesizes manually → risks missing details or hallucinating
- You pay for all those tokens
With this server:
- Google AI Mode searches + synthesizes → one request
- Your agent receives one clean, cited answer → minimal tokens
- Google's sources are preserved → verifiable, grounded
- It's free (uses public Google Search)
---
Google AI Mode (the udm=50 parameter) makes Google search work like a research assistant. It:
- Reads and analyzes dozens of websites automatically
- Synthesizes findings into structured answers
- Cites every claim with source links
- Handles follow-up context across queries
Your agent gets the benefits without doing the work—or burning the tokens
---
Works with any MCP-compatible code agent. Choose your setup:
Claude Code:
`bash`
claude mcp add google-ai-search npx google-ai-mode-mcp@latest
Codex:
`bash`
codex mcp add google-ai-search -- npx google-ai-mode-mcp@latest
Linux/WSL users on Codex: If you get a "Missing X-Server" error when trying to show the browser for CAPTCHA solving, use xvfb-run:
`json`
{
"mcpServers": {
"google-ai-search": {
"command": "xvfb-run",
"args": ["-a", "npx", "google-ai-mode-mcp@latest"]
}
}
}sudo apt-get install xvfb
Install xvfb if needed:
Cline:
`bash`
cline mcp add google-ai-search -- npx google-ai-mode-mcp@latest
Gemini:
`bash`
gemini mcp add google-ai-mode npx -y google-ai-mode-mcp@latest --scope user
VS Code:
`bash`
code --add-mcp '{"name":"google-ai-search","command":"npx","args":["google-ai-mode-mcp@latest"]}'
Cursor, Windsurf, Zed, or other MCP clients:
Add to your MCP config file:
`json`
{
"mcpServers": {
"google-ai-search": {
"command": "npx",
"args": ["google-ai-mode-mcp@latest"]
}
}
}
Cursor uses ~/.cursor/mcp.json, Windsurf and Zed have their own settings files. Check your agent's documentation for the config location
---
Ask your agent naturally:
``
"Search Google AI Mode for: Next.js 15 App Router best practices"
``
"What are the new features in Astro 4.0?"
``
"Research React Server Components and save the results"
The agent will automatically use the MCP server to query Google AI Mode and return a clean, cited answer.
To save results to a file:
``
"Search for TypeScript 5.4 features and save it"
Files are saved to platform-specific locations:
- Linux: ~/.local/share/google-ai-mode-mcp/results/~/Library/Application Support/google-ai-mode-mcp/results/
- macOS: %LOCALAPPDATA%\google-ai-mode-mcp\results\
- Windows:
Filenames: 2026-01-04_15-30-45_typescript_5_4.md
---
On your first query, Google may show a CAPTCHA to verify you're human. This is normal when the browser profile is created.
If you see a CAPTCHA error:
1. Ask your agent: "Switch to visible mode" or "Turn off headless mode"
2. The browser will open visibly
3. Solve the CAPTCHA manually
4. The server detects the solution automatically and continues
5. Next queries will be headless again
After the first CAPTCHA, searches typically run smoothly. The server uses stealth techniques and a persistent browser profile to minimize future CAPTCHAs
---
Repeated CAPTCHAs:
If Google keeps showing CAPTCHAs:
- Tell your agent: "Use visible browser for this search"
- Add 10-30 second delays between searches
- The server automatically restarts after 3 consecutive CAPTCHAs
Browser won't launch:
Clear the browser profile:
`bashLinux/macOS
rm -rf ~/.local/share/google-ai-mode-mcp/chrome_profile
Wrong language results:
The server forces English results. If you still get wrong languages, clear the profile (see above).
Missing citations:
Update to the latest version:
`bash
npm update -g google-ai-mode-mcp
`---
Configuration (Optional)
The server works out of the box. Advanced users can customize via environment variables:
`bash
Browser settings
export GOOGLE_AI_HEADLESS=true # Run browser invisibly
export GOOGLE_AI_STEALTH_ENABLED=true # Use anti-detection techniquesTimeouts
export GOOGLE_AI_RESPONSE_TIMEOUT=30000 # 30 seconds to get AI response
export GOOGLE_AI_CAPTCHA_TIMEOUT=300000 # 5 minutes to solve CAPTCHACAPTCHA handling
export GOOGLE_AI_CAPTCHA_POLL_INTERVAL=3000 # Check every 3 seconds
export GOOGLE_AI_CAPTCHA_MAX_CONSECUTIVE=3 # Restart after 3 CAPTCHAs
export GOOGLE_AI_CAPTCHA_COOLDOWN_MS=30000 # 30 second cooldown
`See
.env.example for all options.---
Tool Reference
The server exposes one tool:
search_aiParameters:
-
query (required) - Your search question
- headless (optional) - Run browser invisibly (default: true)
- timeout_ms (optional) - Request timeout in milliseconds (default: 120000)
- save_to_file (optional) - Save result to .md file (default: false)
- filename (optional) - Custom filename without .md extensionReturns:
`json
{
"success": true,
"markdown": "# AI response with citations [1][2]\n\nSources:\n[1] Title",
"sources": [
{ "title": "Source Title", "url": "https://example.com", "domain": "example.com" }
],
"query": "Your query",
"savedTo": "/path/to/results/file.md"
}
`Usage examples:
Basic search:
`javascript
{ "query": "Rust async patterns 2026" }
`Save to file:
`javascript
{ "query": "Next.js 15 features", "save_to_file": true, "filename": "nextjs-15-guide" }
`Visible browser (for CAPTCHA or debugging):
`javascript
{ "query": "PostgreSQL optimization", "headless": false }
`---
Example Use Case
You need to implement OAuth2 in a framework you've never used before.
Traditional approach:
- Your agent searches Google, gets 10 links
- Reads multiple documentation pages and blog posts
- Consumes thousands of tokens
- May miss important details or synthesize incorrectly
With this server:
`
"Search Google AI Mode for: Hono OAuth2 implementation guide"
`- Google reads and synthesizes sources automatically
- Your agent gets one structured answer with code examples and citations
- Minimal token usage
- Sources are linked for verification
The agent can then use this grounded information to write the actual implementation.
---
FAQ
Does this work with my code agent?
Yes. Any MCP-compatible client: Claude Code, Cursor, Codex, Cline, Windsurf, Zed, VS Code MCP, etc.
Is it free?
Yes. The server is open source, and it uses public Google Search. No API keys or subscriptions needed.
How accurate are the results?
Results come from Google's AI Mode, which cites sources for every claim. Always verify critical details via the linked sources.
What about privacy?
Everything runs locally on your machine. The browser profile stays on your computer. No credentials or external services required beyond Google Search.
Can I see the browser while it works?
Yes. Set
headless: false in the tool call, or ask your agent to use visible mode.Why not just use regular web search?
Regular search returns links. Your agent then reads 5-10 pages, consuming thousands of tokens. This server has Google do the synthesis, so your agent gets one clean answer for minimal token cost.
---
Tips for Better Results
Be specific with your queries:
Instead of: "React hooks"
Try: "React hooks best practices 2026 (useState, useEffect, custom hooks)"
Include version numbers:
Instead of: "Next.js features"
Try: "Next.js 15 new features and breaking changes"
Request structured output:
"Compare PostgreSQL vs MySQL 2026 with a performance comparison table"
Ask for examples:
"Show me TypeScript discriminated union examples with type narrowing"
---
Development
Want to contribute or run from source?
`bash
git clone https://github.com/PleasePrompto/google-ai-mode-mcp.git
cd google-ai-mode-mcp
npm install
npm run buildDevelopment with auto-reload
npm run devWatch mode for continuous building
npm run watch
``---
CAPTCHA handling:
Google may show a CAPTCHA on first use or if you search very frequently. When this happens, ask your agent to show the browser ("switch to visible mode"). Once you solve the CAPTCHA manually, you're usually good to go for future searches.
Responsible use:
This tool automates browser interactions with Google Search. Use it responsibly and be mindful of Google's Terms of Service. Add delays between heavy search sessions if needed.
Verification:
While results come from Google's AI Mode with source citations, always verify critical information via the linked sources. This is a research tool, not a source of truth.
---
Found an issue or want to contribute?
- Report bugs: GitHub Issues
- Pull requests: Welcome
- Contact: github@geromedexheimer.de
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MIT License - see LICENSE file for details
---
Using Claude Code? There's a lightweight skill-only version of this server that integrates directly into your Claude Code workflow without requiring a separate MCP server installation.
Check it out: google-ai-mode-skill
The skill version is perfect if you want the same Google AI Mode functionality with even simpler setup for Claude Code.
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Built by Gérôme Dexheimer