SerpApi MCP Server - Python
Description
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<html> <head> <meta name="google-site-verification" content="7IUYOCgEkfkiWIEriwc2wXkKfrWOHg2SzPp8BKGEh7g" /> </head> </html> # SerpApi MCP Server - Python A collection of Model Context Protocol (MCP) servers that integrate with SerpAPI and YouTube to provide search capabilities and data retrieval for AI assistants…
Details
- Author
- URDJMK
- Downloads
- 238
- Categories
- Search, Knowledge Base, Other
Jump to
- Google Search, News, Scholar, Trends, Finance, Maps, and Images queries
- YouTube search and transcript retrieval
- Configurable search parameters (location, language, pagination)
- Supports raw JSON or markdown-formatted outputs
- Works with MCP-compatible clients (Claude Desktop, Grok)
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
SerpApi MCP Server - PythonCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Clone the repo, create a virtual environment, install dependencies, and set your SerpAPI API key in a .env file. Run any server file (e.g., python src/serpapi_google_search.py) and connect it to an MCP client like Claude for Desktop by adding its configuration to claude_desktop_config.json.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"serpapi mcp server - python": {
"serpapi-mcp-server-urdjmk": {
"command": "python",
"args": [
"-m",
"venv",
".venv"
]
}
}
}
}
McpServers
{
"serpapi-mcp-server-urdjmk": {
"command": "python",
"args": [
"-m",
"venv",
".venv"
]
}
}
SerpApi MCP Server - Python
A collection of Model Context Protocol (MCP) servers that integrate with SerpAPI and YouTube to provide search capabilities and data retrieval for AI assistants.
Overview
This project provides several MCP servers that enable AI assistants like Claude to perform various search operations and retrieve data from:
- Google Search
- Google News
- Google Scholar
- Google Trends
- Google Finance
- Google Maps
- Google Images
- YouTube Search
- YouTube Transcripts
Each server is designed to work with the Model Context Protocol (MCP), making it easy to integrate with AI assistants that support this protocol, such as Claude for Desktop or Grok.
Features
- Google Search (serpapi_google_search.py)
- Google News (serpapi_google_news.py)
- Google Scholar (serpapi_google_scholar.py)
- Google Trends (serpapi_google_trend.py)
- Google Finance (serpapi_google_finance.py)
- Google Maps (serpapi_google_maps.py)
- Google Images (serpapi_google_images.py)
- YouTube Search (serpapi_youtube_search.py)
- YouTube Transcript (youtube_transcript.py)
Installation
Prerequisites
- Python 3.8 or higher
- A SerpAPI API key (get one at serpapi.com)
Setup
1. Clone the repository:
git clone https://github.com/yourusername/serpapi-mcp-server.git
cd serpapi-mcp-server
2. Create a virtual environment and install dependencies:
python -m venv .venv
source .venv/bin/activate # On Windows: .venv\Scripts\activate
pip install -r requirements.txt
3. Create a .env file in the project root based on the provided .env.example:
cp .env.example .env
4. Edit the .env file and add your SerpAPI API key:
SERPAPI_API_KEY=your_api_key_here
Quick Start
1. Save the Server Code: Place the server code in a file, e.g., server.py.
2. Configure the API Key: Create a .env file in the same directory with your SerpApi API key:
SERPAPI_API_KEY=your_api_key_here
3. Run the Server: Start the server with:
python src/serpapi_google_search.py # Or any other server file
4. Integrate with an MCP Client: Connect the server to an MCP client or host (e.g., Claude for Desktop).
Usage with Claude for Desktop
1. Configure Claude for Desktop to use these MCP servers by adding them to your claude_desktop_config.json file:
{
"mcpServers": {
"serpapi-google-search": {
"type": "stdio",
"command": "path/to/python",
"args": [
"path/to/serpapi-mcp-server/src/serpapi_google_search.py"
],
"env": {
"PYTHONPATH": "path/to/site-packages"
}
},
"serpapi-youtube-search": {
"type": "stdio",
"command": "path/to/python",
"args": [
"path/to/serpapi-mcp-server/src/serpapi_youtube_search.py"
],
"env": {
"PYTHONPATH": "path/to/site-packages"
}
},
"serpapi-google-news": {
"type": "stdio",
"command": "path/to/python",
"args": [
"path/to/serpapi-mcp-server/src/serpapi_google_news.py"
],
"env": {
"PYTHONPATH": "path/to/site-packages"
}
},
"serpapi-google-trend": {
"type": "stdio",
"command": "path/to/python",
"args": [
"path/to/serpapi-mcp-server/src/serpapi_google_trend.py"
],
"env": {
"PYTHONPATH": "path/to/site-packages"
}
},
"serpapi-google-scholar": {
"type": "stdio",
"command": "path/to/python",
"args": [
"path/to/serpapi-mcp-server/src/serpapi_google_scholar.py"
],
"env": {
"PYTHONPATH": "path/to/site-packages"
}
},
"serpapi-google-finance": {
"type": "stdio",
"command": "path/to/python",
"args": [
"path/to/serpapi-mcp-server/src/serpapi_google_finance.py"
],
"env": {
"PYTHONPATH": "path/to/site-packages"
}
},
"serpapi-google-maps": {
"type": "stdio",
"command": "path/to/python",
"args": [
"path/to/serpapi-mcp-server/src/serpapi_google_maps.py"
],
"env": {
"PYTHONPATH": "path/to/site-packages"
}
},
"serpapi-google-images": {
"type": "stdio",
"command": "path/to/python",
"args": [
"path/to/serpapi-mcp-server/src/serpapi_google_images.py"
],
"env": {
"PYTHONPATH": "path/to/site-packages"
}
},
"youtube-transcript": {
"type": "stdio",
"command": "path/to/python",
"args": [
"path/to/serpapi-mcp-server/src/youtube_transcript.py"
],
"env": {
"PYTHONPATH": "path/to/site-packages"
}
}
}
}
2. Make sure your SerpAPI key is set in the .env file in the project root directory.
3. Restart Claude for Desktop to load the new configuration.
4. You can now use these search capabilities directly in your conversations with Claude.
Example Queries
Here are some examples of how to use these servers with Claude Desktop:
Google Search
Please search for "climate change solutions" and summarize the top results.
Google News
Find the latest news about artificial intelligence.
Google Scholar
Find recent academic papers on quantum computing.
Google Trends
What are the trending topics in technology right now?
Google Finance
Look up the current stock price and financial information for Apple (AAPL).
Google Maps
Find coffee shops near Central Park, New York.
Google Images
Search for images of "northern lights" and describe what you see.
YouTube Search
Search for tutorial videos on Python programming.
YouTube Transcript
Get the transcript of this YouTube video: https://www.youtube.com/watch?v=dQw4w9WgXcQ
API Parameters
Each server supports various parameters for fine-tuning your searches. Here are all the parameters for each:
Google Search
-q: Search query
- num: Number of results (1-100)
- start: Result offset for pagination (1-based indexing)
- location: Location to search from
- gl: Country code for Google search (e.g., 'us', 'uk')
- hl: Language code (e.g., 'en', 'es')
- device: Device type ('desktop', 'mobile', 'tablet')
- safe: Safe search setting ('active', 'off')
- filter: Filter duplicate content ('0' for off, '1' for on)
- time_period: Filter by recency (e.g., 'd' for past day)
- exactTerms: Words or phrases that should appear exactly
- include_domains: List of domains to include in search results
- exclude_domains: List of domains to exclude from search results
- raw_json: Return complete raw JSON response (boolean)
- readable_json: Return results in markdown-formatted text (boolean)
Full Google Search API Parameters Documentation
Google News
-q: Search query
- gl: Country code (e.g., 'us', 'uk')
- hl: Language code (e.g., 'en', 'es')
- publication_token: Search within a specific publication
- topic_token: Search within a specific topic
- story_token: Get full coverage of a specific story
- section_token: Search within a specific section
- so: Sorting method ('0' for relevance, '1' for date)
- raw_json: Return complete raw JSON response (boolean)
- readable_json: Return results in markdown-formatted text (boolean)
Full Google News API Parameters Documentation
Google Scholar
-q: Search query
- hl: Language code (e.g., 'en', 'es')
- lr: Language restriction (e.g., 'lang_fr|lang_de')
- start: Result offset for pagination
- num: Number of results (1-20)
- cites: ID for cited by searches
- as_ylo: Start year for time range
- as_yhi: End year for time range
- scisbd: Sort by date (0 for relevance, 1 for abstracts, 2 for everything)
- cluster: ID for all versions searches
- as_sdt: Search type or filter
- safe: Safe search setting ('active', 'off')
- filter: Filter for similar/omitted results ('0' for off, '1' for on)
- as_vis: Include citations ('0' to include, '1' to exclude)
- as_rr: Show only review articles ('0' for all, '1' for reviews only)
- raw_json: Return complete raw JSON response (boolean)
- readable_json: Return results in markdown-formatted text (boolean)
Full Google Scholar API Parameters Documentation
Google Trends
-q: Search query (can be multiple queries separated by commas)
- geo: Geographic location (e.g., 'US', 'GB')
- date: Time range (e.g., 'now 1-d', 'now 7-d', 'today 12-m')
- tz: Time zone offset in minutes
- data_type: Type of search (e.g., 'TIMESERIES', 'GEO_MAP')
- cat: Category ID
- gprop: Property filter (e.g., 'web', 'news', 'images')
- raw_json: Return complete raw JSON response (boolean)
- readable_json: Return results in markdown-formatted text (boolean)
Full Google Trends API Parameters Documentation
Google Finance
-q: Search query for a stock, index, mutual fund, currency or futures
- hl: Language code (e.g., 'en', 'es')
- window: Time range for the graph (e.g., '1D', '5D', '1M', '6M', 'YTD', '1Y', '5Y', 'MAX')
- raw_json: Return complete raw JSON response (boolean)
- readable_json: Return results in markdown-formatted text (boolean)
Full Google Finance API Parameters Documentation
Google Maps
-q: Search query
- type: Type of search ('search' or 'place')
- place_id: Unique reference to a place on Google Maps
- data: Filter search results or search for a specific place
- ll: GPS coordinates in format '@latitude,longitude,zoom'
- google_domain: Google domain to use (defaults to google.com)
- hl: Language code (e.g., 'en', 'es')
- gl: Country code (e.g., 'us', 'uk')
- start: Result offset for pagination (integer)
- raw_json: Return complete raw JSON response (boolean)
- readable_json: Return results in markdown-formatted text (boolean)
Full Google Maps API Parameters Documentation
Google Images
-q: Search query
- location: Location to search from
- uule: Google encoded location (cannot be used with location)
- google_domain: Google domain to use (defaults to google.com)
- hl: Language code (e.g., 'en', 'es')
- gl: Country code (e.g., 'us', 'uk')
- cr: Country restriction (e.g., 'countryUS')
- device: Device type ('desktop', 'tablet', 'mobile')
- ijn: Page number (zero-based index)
- chips: Filter string provided by Google as suggested search
- tbs: Advanced search parameters
- imgar: Aspect ratio of images ('s' - Square, 't' - Tall, 'w' - Wide, 'xw' - Panoramic)
- imgsz: Size of images ('l' - Large, 'm' - Medium, 'i' - Icon, etc.)
- image_color: Color of images ('red', 'blue', 'green', 'black', 'white', etc.)
- image_type: Type of images ('face', 'photo', 'clipart', 'lineart', 'animated')
- licenses: Scope of licenses ('f' - Free to use, 'fc' - Free commercial use, etc.)
- safe: Safe search setting ('active', 'off')
- nfpr: Exclude auto-corrected results ('1' to exclude, '0' to include)
- filter: Enable/disable 'Similar Results' and 'Omitted Results' filters
- time_period: Filter by recency (e.g., 'd' for past day)
- raw_json: Return complete raw JSON response (boolean)
- readable_json: Return results in markdown-formatted text (boolean)
Full Google Images API Parameters Documentation
YouTube Search
-search_query: Search query
- gl: Country code (e.g., 'us', 'uk')
- hl: Language code (e.g., 'en', 'es')
- sp: Filter parameters (e.g., 'CAISAhAB' for videos uploaded today)
- raw_json: Return complete raw JSON response (boolean)
- readable_json: Return results in markdown-formatted text (boolean)
Full YouTube Search API Parameters Documentation
YouTube Video
-v: YouTube video ID
- gl: Country code (e.g., 'us', 'uk')
- hl: Language code (e.g., 'en', 'es')
- next_page_token: Token for retrieving next page of related videos, comments or replies
- raw_json: Return complete raw JSON response (boolean)
- readable_json: Return results in markdown-formatted text (boolean)
YouTube Transcript
-video_url: YouTube video URL or ID
- with_timestamps: Include timestamps in transcript (boolean)
- language: Language code for transcript (default: 'en')
- preserve_formatting: Preserve HTML formatting elements (boolean)
- cookies_path: Path to cookies.txt file for age-restricted videos
- proxy: HTTPS proxy to use for the request
- raw_json: Return complete raw JSON response (boolean)
- readable_json: Return human-readable formatted text (boolean)
- text_transcript: Return transcript as a single text string (boolean)
YouTube Transcript API Documentation
Troubleshooting
Invalid API Key
- Verify API key configuration in.env file
- Confirm API key is active in SerpAPI dashboard
- Check for any quotation marks or whitespace in the API key
Request Failures
- Check network connectivity - Verify API call quota hasn't been exceeded - Validate request parameter format - Check for rate limiting issuesLicense
This project is licensed under the MIT License - see the LICENSE file for details.
Acknowledgments
- SerpApi for providing the search API
- YouTube Transcript API for transcript retrieval
- The MCP protocol for enabling AI assistant integration
Resources
- SerpAPI Documentation
- MCP Protocol Documentation
- Claude for Desktop Documentation
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