mcp-serp 2026.3.20.1

MCP Server for Google SERP Search via AceDataCloud API

MCP Serp

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 Your API Token

1. Sign up at AceDataCloud Platform
2. Go to the API documentation page
3. Click "Acquire" to get your API token
4. Copy the token for use below

2. Use the Hosted Server (Recommended)

AceDataCloud hosts a managed MCP server — no local installation required.

Endpoint: https://serp.mcp.acedata.cloud/mcp

All requests require a Bearer token. Use the API token from Step 1.

Claude Desktop

Add to your config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

{
  "mcpServers": {
    "serp": {
      "type": "streamable-http",
      "url": "https://serp.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}

Cursor / Windsurf

Add to your MCP config (.cursor/mcp.json or .windsurf/mcp.json):

{
  "mcpServers": {
    "serp": {
      "type": "streamable-http",
      "url": "https://serp.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}

VS Code (Copilot)

Add to your VS Code MCP config (.vscode/mcp.json):

{
  "servers": {
    "serp": {
      "type": "streamable-http",
      "url": "https://serp.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}

Or install the Ace Data Cloud MCP extension for VS Code, which bundles all 11 MCP servers with one-click setup.

JetBrains IDEs

1. Go to Settings → Tools → AI Assistant → Model Context Protocol (MCP)
2. Click Add → HTTP
3. Paste:

{
  "mcpServers": {
    "serp": {
      "url": "https://serp.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}

cURL Test

# Health check (no auth required)
curl https://serp.mcp.acedata.cloud/health

# MCP initialize
curl -X POST https://serp.mcp.acedata.cloud/mcp \
  -H "Content-Type: application/json" \
  -H "Accept: application/json" \
  -H "Authorization: Bearer YOUR_API_TOKEN" \
  -d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2025-03-26","capabilities":{},"clientInfo":{"name":"test","version":"1.0"}}}'

3. Or Run Locally (Alternative)

If you prefer to run the server on your own machine:

# Install from PyPI
pip install mcp-serp
# or
uvx mcp-serp

# Set your API token
export ACEDATACLOUD_API_TOKEN="your_token_here"

# Run (stdio mode for Claude Desktop / local clients)
mcp-serp

# Run (HTTP mode for remote access)
mcp-serp --transport http --port 8000

Claude Desktop (Local)

{
  "mcpServers": {
    "serp": {
      "command": "uvx",
      "args": ["mcp-serp"],
      "env": {
        "ACEDATACLOUD_API_TOKEN": "your_token_here"
      }
    }
  }
}

Docker (Self-Hosting)

docker pull ghcr.io/acedatacloud/mcp-serp:latest
docker run -p 8000:8000 ghcr.io/acedatacloud/mcp-serp:latest

Clients connect with their own Bearer token — the server extracts the token from each request's Authorization header.

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
├── deploy/                 # Deployment configs
│   └── production/
│       ├── deployment.yaml
│       ├── ingress.yaml
│       └── service.yaml
├── .env.example           # Environment template
├── .gitignore
├── CHANGELOG.md
├── Dockerfile             # Docker image for HTTP mode
├── docker-compose.yaml    # Docker Compose config
├── 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:

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 for details.

Links

• AceDataCloud Platform
• Google SERP API
• Model Context Protocol
• MCP Python SDK

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Made with love by AceDataCloud