MCP Serp
An MCP server that provides structured Google Search capabilities including web, images, news, videos, maps, and local places via the AceDataCloud SERP API. It enables AI clients to perform localized searches and retrieve detailed information from the Google Knowledge Graph.
README
MCP Serp
<!-- mcp-name: io.github.AceDataCloud/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
- Sign up at AceDataCloud Platform
- Go to the API documentation page
- Click "Acquire" to get your API token
- 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.ai
Connect directly on Claude.ai with OAuth — no API token needed:
- Go to Claude.ai Settings → Integrations → Add More
- Enter the server URL:
https://serp.mcp.acedata.cloud/mcp - Complete the OAuth login flow
- Start using the tools in your conversation
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
- Go to Settings → Tools → AI Assistant → Model Context Protocol (MCP)
- Click Add → HTTP
- Paste:
{
"mcpServers": {
"serp": {
"url": "https://serp.mcp.acedata.cloud/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_TOKEN"
}
}
}
}
Claude Code
Claude Code supports MCP servers natively:
claude mcp add serp --transport http https://serp.mcp.acedata.cloud/mcp \
-h "Authorization: Bearer YOUR_API_TOKEN"
Or add to your project's .mcp.json:
{
"mcpServers": {
"serp": {
"type": "streamable-http",
"url": "https://serp.mcp.acedata.cloud/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_TOKEN"
}
}
}
}
Cline
Add to Cline's MCP settings (.cline/mcp_settings.json):
{
"mcpServers": {
"serp": {
"type": "streamable-http",
"url": "https://serp.mcp.acedata.cloud/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_TOKEN"
}
}
}
}
Amazon Q Developer
Add to your MCP configuration:
{
"mcpServers": {
"serp": {
"type": "streamable-http",
"url": "https://serp.mcp.acedata.cloud/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_TOKEN"
}
}
}
}
Roo Code
Add to Roo Code MCP settings:
{
"mcpServers": {
"serp": {
"type": "streamable-http",
"url": "https://serp.mcp.acedata.cloud/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_TOKEN"
}
}
}
}
Continue.dev
Add to .continue/config.yaml:
mcpServers:
- name: serp
type: streamable-http
url: https://serp.mcp.acedata.cloud/mcp
headers:
Authorization: "Bearer YOUR_API_TOKEN"
Zed
Add to Zed's settings (~/.config/zed/settings.json):
{
"language_models": {
"mcp_servers": {
"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 |
ACEDATACLOUD_OAUTH_CLIENT_ID |
OAuth client ID (hosted mode) | — |
ACEDATACLOUD_PLATFORM_BASE_URL |
Platform base URL | https://platform.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/SerpMCP.git
cd SerpMCP
# 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
SerpMCP/
├── 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:
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
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