Google Scholar

v1.0.0Search & Data Extractionstable

Enables academic research through Google Scholar by searching for papers, finding author publications, discovering recent research, and identifying highly cited works through web scraping with natural language queries.

google-scholar-mcp-servermcpai-integration
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What is Google Scholar?

Google Scholar is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to enables academic research through google scholar by searching for papers, finding author publications, discovering recent research, and identifying highly cited works through web scraping with natural...

Enables academic research through Google Scholar by searching for papers, finding author publications, discovering recent research, and identifying highly cited works through web scraping with natural language queries.

This server falls under the Search & Data Extraction category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • Enables academic research through Google Scholar by searchin

Use Cases

Search academic papers.
Find author publications.
Discover highly cited research.
JackKuo666

Maintainer

LicenseMIT License
Languagepython
Versionv1.0.0
UpdatedMay 22, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx google-scholar-mcp-server

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

How to Set Up and Use Google Scholar

The Google Scholar MCP Server brings academic literature search directly into AI assistants by wrapping the scholarly Python library in three focused tools: keyword-based paper search, advanced filtered search by author and year range, and detailed author profile lookup. It performs web scraping against Google Scholar so no API key is required, allowing researchers and students to query millions of academic papers, find citation counts, and pull author h-index data through natural language prompts. This server is particularly useful for literature reviews, identifying leading researchers in a field, and discovering highly cited foundational papers.

Prerequisites

  • Python 3.10 or higher installed
  • pip for installing Python dependencies (scholarly>=1.7.0, mcp[cli]>=1.4.1)
  • An MCP-compatible client such as Claude Desktop
  • Git to clone the repository
1

Clone the repository

Download the Google Scholar MCP Server source code from GitHub.

git clone https://github.com/JackKuo666/Google-Scholar-MCP-Server.git
cd Google-Scholar-MCP-Server
2

Create a virtual environment and install dependencies

Using a virtual environment prevents version conflicts with other Python projects. The key dependencies are scholarly (for scraping Google Scholar) and the MCP CLI SDK.

python -m venv venv
source venv/bin/activate
pip install -r requirements.txt
3

Start the server manually

Run the server script directly to confirm it starts without errors before wiring it to an MCP client.

python google_scholar_server.py
4

Add the server to Claude Desktop configuration

Edit your claude_desktop_config.json to include the Google Scholar server. Use the full path to your virtual environment's Python binary to ensure the correct dependencies are used.

{
  "mcpServers": {
    "google-scholar": {
      "command": "/path/to/venv/bin/python",
      "args": ["google_scholar_server.py"],
      "cwd": "/path/to/Google-Scholar-MCP-Server"
    }
  }
}
5

Restart Claude Desktop and test a search

Reopen Claude Desktop. The google-scholar server should appear in the MCP panel. Test with a keyword search to confirm the scholarly scraper is working.

Google Scholar Examples

Client configuration

Claude Desktop configuration using the local Python environment to run the Google Scholar MCP Server.

{
  "mcpServers": {
    "google-scholar": {
      "command": "/Users/yourname/Google-Scholar-MCP-Server/venv/bin/python",
      "args": ["google_scholar_server.py"],
      "cwd": "/Users/yourname/Google-Scholar-MCP-Server"
    }
  }
}

Prompts to try

Example prompts that use the three tools: search_google_scholar_key_words, search_google_scholar_advanced, and get_author_info.

- "Search Google Scholar for the top 5 papers on 'transformer attention mechanisms'."
- "Find machine learning papers by Geoffrey Hinton published between 2018 and 2023."
- "Get the author profile for Yoshua Bengio including his h-index and citation count."
- "Search for recent papers on 'large language model hallucination' and show citation counts."
- "Do an advanced search for papers about 'protein folding' from 2020 to 2024 with at least 100 citations."

Troubleshooting Google Scholar

scholarly raises a bot-detection error or returns empty results

Google Scholar aggressively rate-limits scrapers. Add delays between requests or use a proxy. The scholarly library supports a free proxy mode via scholarly.use_proxy() — see the scholarly docs for setup.

ModuleNotFoundError: No module named 'scholarly'

Ensure your virtual environment is activated and requirements.txt has been installed. If running from Claude Desktop, use the full absolute path to the virtual environment's Python binary in the command field.

Author search returns no results for a well-known researcher

Try variations of the name or use the researcher's full name as it appears on their Google Scholar profile. Some profiles use middle initials or differ from common spellings.

Frequently Asked Questions about Google Scholar

What is Google Scholar?

Google Scholar is a Model Context Protocol (MCP) server that enables academic research through google scholar by searching for papers, finding author publications, discovering recent research, and identifying highly cited works through web scraping with natural language queries. It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Google Scholar?

Follow the installation instructions on the Google Scholar GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with Google Scholar?

Google Scholar works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is Google Scholar free to use?

Yes, Google Scholar is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.

Browse More Search & Data Extraction MCP Servers

Explore all search & data extraction servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "google-scholar-mcp-server": { "command": "npx", "args": ["-y", "google-scholar-mcp-server"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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