Google Scholar MCP Server
Enables academic research via Claude Code, allowing search of Google Scholar and access to Open Access full-text articles.
README
Google Scholar MCP Server
MCP server for academic research via Claude Code. Search Google Scholar and access Open Access full-text articles.
Features
- Google Scholar Search via SerpAPI
- Search academic articles by query, year, language
- Get articles citing a specific paper
- Get all versions of an article from different sources
- Full-text Access via CORE API
- Retrieve full text of Open Access articles
- Search specifically for articles with full-text available
- Answer research questions using evidence from papers (RAG pattern)
Tools
| Tool | Description |
|---|---|
search_articles |
Search for academic articles on Google Scholar |
get_citations |
Get articles citing a specific paper |
get_article_versions |
Get all versions of an article |
get_fulltext |
Get full text of Open Access article |
search_open_access |
Search for articles with full-text |
ask_research_question |
Answer research questions using evidence from Open Access papers |
Quick Start
1. Get API Keys
SerpAPI (Required)
- Sign up at serpapi.com
- Free tier: 100 searches/month
- Paid plans from $75/month for 5,000 searches
CORE API (Optional, for full-text)
- Register at core.ac.uk/api-keys/register
- Free: 100,000 requests/day
2. Install
git clone https://github.com/alimov-andrey/google-scholar-mcp.git
cd google-scholar-mcp
uv pip install -e .
3. Configure Environment
cp .env.example .env
# Edit .env and add your API keys:
# SERPAPI_API_KEY=your_key_here
# CORE_API_KEY=your_key_here # optional
4. Configure Claude Code
Option A: Global config (~/.claude/claude_mcp_config.json)
{
"mcpServers": {
"google-scholar": {
"command": "bash",
"args": ["-c", "cd /path/to/google-scholar-mcp && exec python -m src.main"]
}
}
}
Option B: Project config (.mcp.json in project root)
{
"mcpServers": {
"google-scholar": {
"command": "bash",
"args": ["-c", "cd /path/to/google-scholar-mcp && exec python -m src.main"]
}
}
}
Usage Examples
Search Articles
Search for "transformer neural networks" articles from 2023
Get Citations
Get articles citing this paper (use citation_id from search results)
Get Full Text
Get full text for article with DOI 10.1234/example
Project Structure
google-scholar-mcp/
├── src/
│ ├── main.py # FastMCP server entry point
│ ├── config.py # Pydantic settings
│ ├── clients/
│ │ ├── exceptions.py # APIError, RateLimitError, AuthenticationError
│ │ ├── serpapi.py # SerpAPI async client with retry
│ │ └── core_api.py # CORE API async client with retry
│ ├── models/
│ │ └── scholar.py # Pydantic response models
│ └── tools/
│ ├── scholar.py # Google Scholar tools
│ └── fulltext.py # Full-text access tools
├── tests/ # Unit tests (86 tests)
├── pyproject.toml
└── .github/workflows/
└── test.yml # CI pipeline
Development
# Install with dev dependencies
uv pip install -e ".[dev]"
# Run tests
pytest tests/ -v
# Run server locally
python -m src.main
Tech Stack
- Python 3.12+ with FastMCP 2.14
- httpx for async HTTP with retry logic
- Pydantic for data validation
- stdio transport for MCP communication
License
MIT
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