Which integrations are available for this server?

Enables comprehensive Google searches including web results, images, news, places, and map information with support for localization and time-based filtering. Allows for searching video content specifically from YouTube and other platforms through Google's video search capabilities.

How do I use MCP Serp?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@MCP Serp search for the latest news about artificial intelligence" 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.

MCP Serp

Python 3.10+ License: MIT MCP

A Model Context Protocol (MCP) server for Google search using SERP API through the AceDataCloud API.

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:

Sign up or log in
Navigate to Google SERP API
Click "Acquire" to get your token

2. Install

# 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

# Copy example environment file cp .env.example .env # Edit with your API token echo "ACEDATACLOUD_API_TOKEN=your_token_here" > .env

4. Run

# 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

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

Or if using uv:

{ "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

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

# 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

# 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

# Format code ruff format . # Lint code ruff check . # Type check mypy core tools

Build & Publish

# 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:

Google SERP API Documentation

Contributing

Contributions are welcome! Please:

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

License

MIT License - see LICENSE for details.

Links

Made with love by AceDataCloud