mcp-serp 2026.2.15.3
MCP Server for Google SERP Search via AceDataCloud API
License: MIT
Requires Python: >=3.10
Keywords: acedata, api, claude, google, llm, mcp, model-context-protocol, search, serp

# MCP Serp

[![Python 3.10+](https://img.shields.io/badge/python-3.10+-blue.svg)](https://www.python.org/downloads/)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
[![MCP](https://img.shields.io/badge/MCP-Compatible-green.svg)](https://modelcontextprotocol.io)

A [Model Context Protocol (MCP)](https://modelcontextprotocol.io) server for Google search using [SERP API](https://platform.acedata.cloud/documents/44c86226-8eaa-49bf-85f3-1fae8d2e23f1) through the [AceDataCloud API](https://platform.acedata.cloud).

Perform Google searches and get structured results directly from Claude, VS Code, or any MCP-compatible client.

## Features

- **Web Search** - Regular Google web search with structured results
- **Image Search** - Search for images with URLs and thumbnails
- **News Search** - Get latest news articles on any topic
- **Video Search** - Find videos from YouTube and other sources
- **Places Search** - Search for local businesses and places
- **Maps Search** - Find locations and geographic information
- **Knowledge Graph** - Get structured entity information
- **Localization** - Support for multiple countries and languages
- **Time Filtering** - Filter results by time range

## Quick Start

### 1. Get API Token

Get your API token from [AceDataCloud Platform](https://platform.acedata.cloud):

1. Sign up or log in
2. Navigate to [Google SERP API](https://platform.acedata.cloud/documents/44c86226-8eaa-49bf-85f3-1fae8d2e23f1)
3. Click "Acquire" to get your token

### 2. Install

```bash
# Clone the repository
git clone https://github.com/AceDataCloud/mcp-serp.git
cd mcp-serp

# Install with pip
pip install -e .

# Or with uv (recommended)
uv pip install -e .
```

### 3. Configure

```bash
# Copy example environment file
cp .env.example .env

# Edit with your API token
echo "ACEDATACLOUD_API_TOKEN=your_token_here" > .env
```

### 4. Run

```bash
# Run the server
mcp-serp

# Or with Python directly
python main.py
```

## Claude Desktop Integration

Add to your Claude Desktop configuration:

**macOS**: `~/Library/Application Support/Claude/claude_desktop_config.json`
**Windows**: `%APPDATA%\Claude\claude_desktop_config.json`

```json
{
  "mcpServers": {
    "serp": {
      "command": "mcp-serp",
      "env": {
        "ACEDATACLOUD_API_TOKEN": "your_api_token_here"
      }
    }
  }
}
```

Or if using uv:

```json
{
  "mcpServers": {
    "serp": {
      "command": "uv",
      "args": ["run", "--directory", "/path/to/mcp-serp", "mcp-serp"],
      "env": {
        "ACEDATACLOUD_API_TOKEN": "your_api_token_here"
      }
    }
  }
}
```

## Available Tools

### Search Tools

| Tool | Description |
|------|-------------|
| `serp_google_search` | Flexible Google search with all options |
| `serp_google_images` | Search for images |
| `serp_google_news` | Search for news articles |
| `serp_google_videos` | Search for videos |
| `serp_google_places` | Search for local places/businesses |
| `serp_google_maps` | Search for map locations |

### Information Tools

| Tool | Description |
|------|-------------|
| `serp_list_search_types` | List available search types |
| `serp_list_countries` | List country codes for localization |
| `serp_list_languages` | List language codes for localization |
| `serp_list_time_ranges` | List time range filter options |
| `serp_get_usage_guide` | Get comprehensive usage guide |

## Usage Examples

### Basic Web Search

```
User: Search for information about artificial intelligence

Claude: I'll search for information about AI.
[Calls serp_google_search with query="artificial intelligence"]
```

### News Search with Time Filter

```
User: What's the latest news about technology?

Claude: I'll search for recent tech news.
[Calls serp_google_news with query="technology", time_range="qdr:d"]
```

### Localized Search

```
User: Find popular restaurants in Tokyo

Claude: I'll search for restaurants in Tokyo.
[Calls serp_google_places with query="popular restaurants Tokyo", country="jp"]
```

### Image Search

```
User: Find images of the Northern Lights

Claude: I'll search for aurora borealis images.
[Calls serp_google_images with query="Northern Lights aurora borealis"]
```

## Search Parameters

### Search Types

| Type | Description |
|------|-------------|
| `search` | Regular web search (default) |
| `images` | Image search |
| `news` | News articles |
| `maps` | Map results |
| `places` | Local businesses |
| `videos` | Video results |

### Time Range Filters

| Code | Time Range |
|------|------------|
| `qdr:h` | Past hour |
| `qdr:d` | Past day |
| `qdr:w` | Past week |
| `qdr:m` | Past month |

### Common Country Codes

| Code | Country |
|------|---------|
| `us` | United States |
| `uk` | United Kingdom |
| `cn` | China |
| `jp` | Japan |
| `de` | Germany |
| `fr` | France |

### Common Language Codes

| Code | Language |
|------|----------|
| `en` | English |
| `zh-cn` | Chinese (Simplified) |
| `ja` | Japanese |
| `es` | Spanish |
| `fr` | French |
| `de` | German |

## Response Structure

### Regular Search Results

- **knowledge_graph**: Entity information (company, person, etc.)
- **answer_box**: Direct answers
- **organic**: Regular search results with title, link, snippet
- **people_also_ask**: Related questions
- **related_searches**: Related queries

### Image Search Results

- **images**: Image results with URLs and thumbnails

### News Search Results

- **news**: News articles with source and date

## Configuration

### Environment Variables

| Variable | Description | Default |
|----------|-------------|---------|
| `ACEDATACLOUD_API_TOKEN` | API token from AceDataCloud | **Required** |
| `ACEDATACLOUD_API_BASE_URL` | API base URL | `https://api.acedata.cloud` |
| `SERP_REQUEST_TIMEOUT` | Request timeout in seconds | `30` |
| `LOG_LEVEL` | Logging level | `INFO` |

### Command Line Options

```bash
mcp-serp --help

Options:
  --version          Show version
  --transport        Transport mode: stdio (default) or http
  --port             Port for HTTP transport (default: 8000)
```

## Development

### Setup Development Environment

```bash
# Clone repository
git clone https://github.com/AceDataCloud/mcp-serp.git
cd mcp-serp

# Create virtual environment
python -m venv .venv
source .venv/bin/activate  # or `.venv\Scripts\activate` on Windows

# Install with dev dependencies
pip install -e ".[dev,test]"
```

### Run Tests

```bash
# Run unit tests
pytest

# Run with coverage
pytest --cov=core --cov=tools

# Run integration tests (requires API token)
pytest tests/test_integration.py -m integration
```

### Code Quality

```bash
# Format code
ruff format .

# Lint code
ruff check .

# Type check
mypy core tools
```

### Build & Publish

```bash
# Install build dependencies
pip install -e ".[release]"

# Build package
python -m build

# Upload to PyPI
twine upload dist/*
```

## Project Structure

```
MCPSerp/
├── core/                   # Core modules
│   ├── __init__.py
│   ├── client.py          # HTTP client for SERP API
│   ├── config.py          # Configuration management
│   ├── exceptions.py      # Custom exceptions
│   └── server.py          # MCP server initialization
├── tools/                  # MCP tool definitions
│   ├── __init__.py
│   ├── search_tools.py    # Search tools
│   └── info_tools.py      # Information tools
├── prompts/                # MCP prompt templates
│   └── __init__.py
├── tests/                  # Test suite
│   ├── conftest.py
│   ├── test_client.py
│   └── test_config.py
├── .env.example           # Environment template
├── .gitignore
├── CHANGELOG.md
├── LICENSE
├── main.py                # Entry point
├── pyproject.toml         # Project configuration
└── README.md
```

## API Reference

This server wraps the [AceDataCloud Google SERP API](https://platform.acedata.cloud/documents/44c86226-8eaa-49bf-85f3-1fae8d2e23f1):

- [Google SERP API Documentation](https://platform.acedata.cloud/documents/44c86226-8eaa-49bf-85f3-1fae8d2e23f1)

## Contributing

Contributions are welcome! Please:

1. Fork the repository
2. Create a feature branch (`git checkout -b feature/amazing`)
3. Commit your changes (`git commit -m 'Add amazing feature'`)
4. Push to the branch (`git push origin feature/amazing`)
5. Open a Pull Request

## License

MIT License - see [LICENSE](LICENSE) for details.

## Links

- [AceDataCloud Platform](https://platform.acedata.cloud)
- [Google SERP API](https://platform.acedata.cloud/documents/44c86226-8eaa-49bf-85f3-1fae8d2e23f1)
- [Model Context Protocol](https://modelcontextprotocol.io)
- [MCP Python SDK](https://github.com/modelcontextprotocol/python-sdk)

---

Made with love by [AceDataCloud](https://platform.acedata.cloud)