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.

• 🔎 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 ✅

To install google-scholar Server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli@latest install @JackKuo666/google-scholar-mcp-server --client claude --config "{}"

Paste the following into Settings → Cursor Settings → MCP → Add new server:

• Mac/Linux

npx -y @smithery/cli@latest run @JackKuo666/google-scholar-mcp-server --client cursor --config "{}" 

npx -y @smithery/cli@latest install @JackKuo666/google-scholar-mcp-server --client windsurf --config "{}"

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:

# 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

Start the MCP server:

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:

result = await mcp.use_tool("search_google_scholar_key_words", {
    "query": "artificial intelligence ethics",
    "num_results": 5
})
print(result)

result = await mcp.use_tool("search_google_scholar_advanced", {
    "query": "machine learning",
    "author": "Hinton",
    "year_range": [2020, 2023],
    "num_results": 3
})
print(result)

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.

Add this configuration to your claude_desktop_config.json:

(Mac OS)

{
  "mcpServers": {
    "google-scholar": {
      "command": "python",
      "args": ["-m", "google_scholar_mcp_server"]
      }
  }
}

(Windows version):

{
  "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

{
  "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": []
    }
  }
}

The Google Scholar MCP Server provides the following tools:

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

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 detailed information about an author from Google Scholar.

Parameters:

• author_name (str): Name of the author to search for

Returns: Dictionary containing author information

• 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

• Python 3.10+
• mcp[cli]>=1.4.1
• scholarly>=1.7.0
• asyncio>=3.4.3

You can install the required dependencies using:

pip install -r requirements.txt

Contributions are welcome! Please feel free to submit a Pull Request.

This project is licensed under the MIT License.

This tool is for research purposes only. Please respect Google Scholar's terms of service and use this tool responsibly.