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Google-Scholar

A MCP Server for Google Scholar: 🔍 Enable AI assistants to search and access Google Scholar papers through a simple MCP interface.

Unclaimed last commit a year ago devtools
59Fair

Scored 5 months ago · breakdown

About Google-Scholar

Google-Scholar is an MCP server published by JackKuo666 in the Developer Tools category: a MCP Server for Google Scholar: 🔍 Enable AI assistants to search and access Google Scholar papers through a simple MCP interface.

The repository has 419 stars and 64 forks, with the last commit a year ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.

Install

From source
git clone https://github.com/JackKuo666/Google-Scholar-MCP-Server

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Security checks

Static checks derived from the repository 5 days ago. Heuristics on the source, not an audit.

  • ✓README presentThe repository ships documentation.
  • !License declaredNo license file. Legally you have no right to use it in a product.
  • !Tests presentNo tests found. Behaviour changes may go unnoticed between versions.
  • !Dependencies pinnedNo lockfile. Installs can pull different code over time.
  • ✓No dynamic code executionSource scan found no eval, dynamic Function, or shell execution.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

README

Google Scholar MCP Server

smithery badge

🔍 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:

claude

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

Windsurf

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

CLine

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

📊 Usage

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:

Example 1: Search for papers using keywords

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

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

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)

{
  "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": []
    }
  }
}

🛠 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:

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.

README fetched from the repository 5 days ago. The original is authoritative.

Questions

About Google-Scholar

How do I install Google-Scholar?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Google-Scholar safe to use with an AI agent?

Its trust score is 59 out of 100 (fair). It passes 2 of the 6 static security checks run so far; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Google-Scholar still maintained?

The last commit was a year ago and 14 open issues. That's long enough that you should check whether the maintainer is responding to issues before depending on it.