内容
# Google Scholar MCP Server
[](https://smithery.ai/server/@JackKuo666/google-scholar-mcp-server)
🔍 Enable AI assistants to search and access Google Scholar papers through a simple MCP interface.
The Google Scholar MCP Server provides a bridge between AI assistants and Google Scholar through the Model Context Protocol (MCP). It allows AI models to search for academic papers and access their content in a programmatic way.
## ✨ Core Features
- 🔎 Paper Search: Query Google Scholar papers with custom search strings or advanced search parameters ✅
- 🚀 Efficient Retrieval: Fast access to paper metadata ✅
- 👤 Author Information: Retrieve detailed information about authors ✅
- 📊 Research Support: Facilitate academic research and analysis ✅
## 🚀 Quick Start
### Installing Manually
### Installing via Smithery
To install google-scholar Server for Claude Desktop automatically via [Smithery](https://smithery.ai/server/@JackKuo666/google-scholar-mcp-server):
#### claude
```sh
npx -y @smithery/cli@latest install @JackKuo666/google-scholar-mcp-server --client claude --config "{}"
```
#### Cursor
Paste the following into Settings → Cursor Settings → MCP → Add new server:
- Mac/Linux
```s
npx -y @smithery/cli@latest run @JackKuo666/google-scholar-mcp-server --client cursor --config "{}"
```
#### Windsurf
```sh
npx -y @smithery/cli@latest install @JackKuo666/google-scholar-mcp-server --client windsurf --config "{}"
```
### CLine
```sh
npx -y @smithery/cli@latest install @JackKuo666/google-scholar-mcp-server --client cline --config "{}"
```
1. Clone the repository:
```
git clone https://github.com/JackKuo666/google-scholar-MCP-Server.git
cd google-scholar-MCP-Server
```
2. Install the required dependencies:
```
pip install -r requirements.txt
```
For development:
```bash
# Clone and set up development environment
git clone https://github.com/JackKuo666/Google-Scholar-MCP-Server.git
cd Google-Scholar-MCP-Server
# Create and activate virtual environment
python -m venv venv
source venv/bin/activate # On Windows use `venv\Scripts\activate`
# Install dependencies
pip install -r requirements.txt
```
## 📊 Usage
Start the MCP server:
```bash
python google_scholar_server.py
```
Once the server is running, you can use the provided MCP tools in your AI assistant or application. Here are some examples of how to use the tools:
### Example 1: Search for papers using keywords
```python
result = await mcp.use_tool("search_google_scholar_key_words", {
"query": "artificial intelligence ethics",
"num_results": 5
})
print(result)
```
### Example 2: Perform an advanced search
```python
result = await mcp.use_tool("search_google_scholar_advanced", {
"query": "machine learning",
"author": "Hinton",
"year_range": [2020, 2023],
"num_results": 3
})
print(result)
```
### Example 3: Get author information
```python
result = await mcp.use_tool("get_author_info", {
"author_name": "Geoffrey Hinton"
})
print(result)
```
These examples demonstrate how to use the three main tools provided by the Google Scholar MCP Server. Adjust the parameters as needed for your specific use case.
## Usage with Claude Desktop
Add this configuration to your `claude_desktop_config.json`:
(Mac OS)
```json
{
"mcpServers": {
"google-scholar": {
"command": "python",
"args": ["-m", "google_scholar_mcp_server"]
}
}
}
```
(Windows version):
```json
{
"mcpServers": {
"google-scholar": {
"command": "C:\\Users\\YOUR\\PATH\\miniconda3\\envs\\mcp_server\\python.exe",
"args": [
"D:\\code\\YOUR\\PATH\\Google-Scholar-MCP-Server\\google_scholar_server.py"
],
"env": {},
"disabled": false,
"autoApprove": []
}
}
}
```
Using with Cline
```json
{
"mcpServers": {
"google-scholar": {
"command": "bash",
"args": [
"-c",
"source /home/YOUR/PATH/.venv/bin/activate && python /home/YOUR/PATH/google_scholar_mcp_server.py"
],
"env": {},
"disabled": false,
"autoApprove": []
}
}
}
```
## 🛠 MCP Tools
The Google Scholar MCP Server provides the following tools:
### search_google_scholar_key_words
Search for articles on Google Scholar using key words.
**Parameters:**
- `query` (str): Search query string
- `num_results` (int, optional): Number of results to return (default: 5)
**Returns:** List of dictionaries containing article information
### search_google_scholar_advanced
Perform an advanced search for articles on Google Scholar.
**Parameters:**
- `query` (str): General search query
- `author` (str, optional): Author name
- `year_range` (tuple, optional): Tuple containing (start_year, end_year)
- `num_results` (int, optional): Number of results to return (default: 5)
**Returns:** List of dictionaries containing article information
### get_author_info
Get detailed information about an author from Google Scholar.
**Parameters:**
- `author_name` (str): Name of the author to search for
**Returns:** Dictionary containing author information
## 📁 Project Structure
- `google_scholar_server.py`: The main MCP server implementation using FastMCP
- `google_scholar_web_search.py`: Contains the web scraping logic for searching Google Scholar
## 🔧 Dependencies
- Python 3.10+
- mcp[cli]>=1.4.1
- scholarly>=1.7.0
- asyncio>=3.4.3
You can install the required dependencies using:
```bash
pip install -r requirements.txt
```
## 🤝 Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
## 📄 License
This project is licensed under the MIT License.
## ⚠️ Disclaimer
This tool is for research purposes only. Please respect Google Scholar's terms of service and use this tool responsibly.
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