google-scholar

The google-scholar MCP server allows you to interact with Google Scholar using a TypeScript implementation designed for Streamable HTTP. This server provides a streamlined way to access scholarly articles, citations, and related resources, making it an essential tool for developers looking to integrate academic search capabilities into their applications. With this MCP server, you can perform efficient queries and retrieve data directly from Google Scholar, enhancing your research and development projects.

Once connected to the google-scholar MCP server, you can send queries to fetch academic articles and their associated metadata. The server supports various query formats, allowing you to search by title, author, or keywords. You can leverage features such as pagination for large query results, ensuring that you receive data in manageable chunks. Make sure to formulate your queries clearly for optimal results.

To install the google-scholar MCP server, you need to have Node.js installed on your machine. Here's how to get started:

• Prerequisites: Ensure you have Node.js installed. You can verify this by running:

  node -v
  

• Option A: Quick start with npx: You can quickly start using the server without a global installation by running:

  npx -y mochow13/google-scholar-mcp
  

• Option B: Global install alternative: If you prefer to install it globally, you can clone the repository and install dependencies:

  git clone https://github.com/mochow13/google-scholar-mcp.git
  cd google-scholar-mcp
  npm install
  

When configuring the google-scholar MCP server, consider setting environment variables for custom API keys or specific search parameters to enhance your experience. Be aware of rate limits imposed by Google Scholar, which may affect the frequency of your queries. Always test your queries to ensure they return the expected results.