grok-search-mcp
v1.0.6
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MCP server for AI model search capabilities using Grok
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Grok Search MCP
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🚀 Integrate Grok AI's powerful search capabilities into Claude via MCP protocol, break through knowledge limitations, and access real-time information
Features • Quick Start • Usage • Troubleshooting
📖 Overview
Grok Search MCP is a high-performance Node.js/TypeScript implementation of an MCP (Model Context Protocol) server that integrates Grok AI's powerful capabilities to provide real-time web search and web content extraction for Claude, Claude Code, and other AI assistants.
✨ Key Features
- 🌐 Real-time Web Search - Break through AI knowledge cutoff and access the latest information
- 🔍 Smart Web Fetching - Extract complete web content and convert to structured Markdown
- 🔄 Auto Retry Mechanism - Intelligently handle network fluctuations and temporary errors
- 📦 Plug & Play - Run with single
npxcommand, no complex configuration needed - ⚡ High Performance - Cold start < 1 second, memory footprint < 30MB
- 🔒 Type Safety - Complete TypeScript type definitions
- 🛠️ Fetch Polyfill - Compatible with all Node.js 18+ environments
🎯 Why Choose Grok Search MCP?
| Feature | Official WebSearch | Grok Search MCP | |---------|-------------------|-----------------| | Search Quality | Generic | Grok AI Enhanced 🧠 | | Web Fetching | Basic | Deep Extraction 📄 | | Startup Speed | Slower | < 1 second ⚡ | | Customization | Fixed | Highly Configurable ⚙️ | | Cost | Paid | Use Your Own API Key 💰 |
🚀 Quick Start
Prerequisites
- Node.js 18+ (with fetch API and ES Modules support)
- OpenAI-compatible API - This project uses the OpenAI API format. You need:
- An API endpoint (e.g., Grok API proxy, OpenAI-compatible service)
- An API key for that endpoint
- Claude Desktop (optional, for GUI integration)
Option 1: Using npx (Recommended)
No installation required, run the latest version directly:
npx grok-search-mcpOption 2: Global Installation
npm install -g grok-search-mcp
grok-search⚙️ Configure Claude Desktop
Step 1: Get API Endpoint and Key
This project uses the OpenAI API format. You need an API endpoint that is compatible with OpenAI's API specification.
Options:
- Grok API Proxy: Use a third-party Grok API proxy service that provides OpenAI-compatible endpoints
- Other OpenAI-compatible APIs: Any service that follows the OpenAI API format
You will need:
GROK_API_URL: Your API endpoint URL (e.g.,https://your-api-proxy.com/v1)GROK_API_KEY: Your API key for that endpointGROK_MODEL: The model identifier (default:grok-beta)
Step 2: Configure Environment Variables
Edit ~/.config/claude/claude_desktop_config.json (macOS/Linux) or %APPDATA%\claude\claude_desktop_config.json (Windows):
{
"mcpServers": {
"grok-search": {
"type": "stdio",
"command": "npx",
"args": ["-y", "grok-search-mcp"],
"env": {
"GROK_API_URL": "https://your-api-endpoint.com/v1",
"GROK_API_KEY": "your-api-key-here",
"GROK_MODEL": "grok-beta"
}
}
}
}Important:
- Replace
https://your-api-endpoint.com/v1with your actual API endpoint - Replace
your-api-key-herewith your actual API key - The endpoint must be OpenAI-compatible
Step 3: Restart Claude Desktop
After configuration, completely quit and restart Claude Desktop.
Step 4: Verify Installation
In Claude conversation, type:
Show grok-search config infoOr
Search for latest TypeScript 5.5 features🛠️ Available Tools
1️⃣ web_search - Web Search
Execute intelligent search and return structured results.
Parameters:
query(required) - Search keywordsplatform(optional) - Specify platform like "github", "stackoverflow"min_results(optional) - Minimum results, default 3max_results(optional) - Maximum results, default 10
Usage Examples:
Search for latest Next.js 15 updates
Search TypeScript 5.5 new features, return 5 results
Search for grok projects on GitHub2️⃣ web_fetch - Web Fetching
Extract complete content from specified URL and convert to Markdown format.
Parameters:
url(required) - Web page URL to fetch
Usage Examples:
Fetch README content from https://github.com/lie5860/grok-search-npm
Get complete documentation from https://www.typescriptlang.org/docs3️⃣ get_config_info - Configuration Diagnostics
Get current configuration and connection status.
Returns:
- API URL and model configuration
- Connection test results
- Response time and available model information
Usage Examples:
Show grok-search config info4️⃣ switch_model - Model Switching
Dynamically switch Grok models.
Parameters:
model(required) - Model ID (e.g., "grok-beta", "grok-vision-beta")
Usage Examples:
Switch to grok-vision-beta model
Switch model to grok-beta5️⃣ toggle_builtin_tools - Tool Management
Disable/Enable Claude's built-in search tools.
Parameters:
action(optional) - "on" disable built-in tools, "off" enable built-in tools, "status" view status
Usage Examples:
Disable official WebSearch tool
View current tool status💻 Development Guide
Building from Source
# Clone repository
git clone https://github.com/lie5860/grok-search-npm.git
cd grok-search-npm
# Install dependencies
npm install
# Build TypeScript
npm run build
# Run development server
npm run dev
# Run tests
npm testProject Structure
grok-search-npm/
├── src/
│ ├── server.ts # MCP server main entry
│ ├── config/ # Configuration management
│ ├── providers/ # Grok API provider
│ ├── utils/ # Utilities (fetch polyfill, retry, logger)
│ └── types/ # TypeScript type definitions
├── bin/
│ └── grok-search.js # CLI command entry
├── dist/ # Build output directory
├── package.json
├── tsconfig.json
└── README.mdTech Stack
- Runtime: Node.js 18+
- Language: TypeScript 5.5+
- MCP SDK: @modelcontextprotocol/sdk ^1.0.4
- HTTP Client: Fetch API + Undici (auto polyfill)
- Config Management: dotenv
- Module System: ES Modules (ESM)
🔧 Environment Variables
| Variable | Description | Required | Default |
|----------|-------------|----------|---------|
| GROK_API_URL | OpenAI-compatible API endpoint | Yes | - |
| GROK_API_KEY | API key for your endpoint | Yes | - |
| GROK_MODEL | Model identifier | No | grok-beta |
| DEBUG | Debug mode | No | false |
| GROK_LOG_LEVEL | Log level | No | INFO |
🔥 Troubleshooting
❌ Issue 1: Connection Failed
Error: ❌ Connection failed or Grok API error
Solutions:
- Check if
GROK_API_URLis correct and points to an OpenAI-compatible endpoint - Verify if
GROK_API_KEYis valid for your API provider - Confirm network connection is working
- Use
get_config_infotool for diagnostics
❌ Issue 2: Module Not Found
Error: Cannot find module
Solutions:
# Reinstall dependencies
npm install
# Rebuild
npm run build❌ Issue 3: Permission Error
Error: EACCES
Solutions:
# Linux/macOS use sudo
sudo npm install -g grok-search-mcp
# Or recommend using npx (no permissions needed)
npx grok-search-mcp❌ Issue 4: fetch is not defined
Error: ReferenceError: fetch is not defined
Cause: fetch API not properly initialized in Node.js environment
Solutions:
- Check Node.js version:
node --version # Should be >= 18.0.0- Ensure using latest version (v1.0.1+ includes fetch polyfill):
npm update grok-search-mcp
# Or use npx directly
npx grok-search-mcp- If problem persists, please file an issue: https://github.com/lie5860/grok-search-npm/issues
📝 Advanced Configuration
Claude Desktop Prompt Optimization
Edit ~/.claude/CLAUDE.md and add the following for better experience:
# Grok Search MCP Usage Guide
## Activation
- Prioritize Grok Search for web search needs
- Auto-activate when latest information is needed
- Use web_fetch for web content extraction
## Tool Selection Strategy
| Scenario | Recommended Tool | Parameters |
|----------|-----------------|------------|
| Quick search | web_search | min_results=3, max_results=5 |
| Deep research | web_search + web_fetch | Search first, then fetch key pages |
| Specific platform | web_search | Set platform parameter |
| Complete docs | web_fetch | Fetch URL directly |
## Output Guidelines
- **Must cite sources**: `[Title](URL)`
- **Time-sensitive info**: Note retrieval date
- **Multi-source validation**: Cross-validate important info
- **No fabrication**: Clearly state when no results found
## Error Handling
- No results → Relax query or change keywords
- Connection failed → Use get_config_info to diagnose
- Timeout → Reduce max_results or retry📊 Performance Comparison
| Metric | Python Version | Node.js Version (This Project) | |--------|---------------|-------------------------------| | Cold Start | ~2-3 seconds | < 1 second ⚡ | | Memory Usage | ~50MB | < 30MB 💾 | | Package Size | ~15MB | ~5MB 📦 | | Type Safety | Type hints | Full TypeScript 🔒 | | Deployment | Needs virtual env | npx one-click run 🚀 |
🤝 Contributing
Contributions, issues, and feature requests are welcome!
- Fork the repository
- Create your feature branch (
git checkout -b feature/AmazingFeature) - Commit your changes (
git commit -m 'Add some AmazingFeature') - Push to the branch (
git push origin feature/AmazingFeature) - Open a Pull Request
📄 License
This project is licensed under the MIT License.
🙏 Acknowledgments
- Model Context Protocol - Powerful AI context protocol
- Claude - Excellent AI assistant by Anthropic
🌟 Tribute to Original Project
This project is based on GuDaStudio/GrokSearch (MIT License). Big thanks to the original author for the excellent work!
Key Changes:
- ✅ Migrated from Python to TypeScript/Node.js
- ✅ Added Fetch Polyfill for better environment compatibility
- ✅ Optimized project structure and modular design
- ✅ Complete TypeScript type definitions
- ✅ Faster startup speed and smaller package size
Important Note: This project uses the OpenAI API format and requires an OpenAI-compatible API endpoint (such as a Grok API proxy). It does not directly connect to x.ai's official API.
The original project (Python version) is equally excellent. If you're more familiar with the Python ecosystem, we recommend using the original version:
📮 Contact
- GitHub: https://github.com/lie5860/grok-search-npm
- Issues: https://github.com/lie5860/grok-search-npm/issues
- NPM: https://www.npmjs.com/package/grok-search-mcp
If this project helps you, please give it a ⭐️ Star!
Made with ❤️ by lie5860
