mcp scholarly
pipStandardMCP scholarly connects to academic databases and search engines, providing AI agents with tools to query, retrieve, and summarize peer-reviewed articles. It integrates with APIs like Crossref and Semantic Scholar, offering metadata extraction, citation analysis, and full-text search. Researchers and developers use it to automate literature reviews, track citations, and gather academic insights.
171270Updated 8 months ago
Overview
MCP scholarly connects to academic databases and search engines, providing AI agents with tools to query, retrieve, and summarize peer-reviewed articles. It integrates with APIs like Crossref and Semantic Scholar, offering metadata extraction, citation analysis, and full-text search. Researchers and developers use it to automate literature reviews, track citations, and gather academic insights.
Installation
1Install the package
pip
pip install mcp-scholarly2Add to Claude
Add this configuration to your claude_desktop_config.json:
claude_desktop_config.json
{
"mcpServers": {
"adityak74-mcp-scholarly-github": {
"command": "uvx",
"args": [
"pip install mcp-scholarly"
]
}
}
}3Verify installation
Restart Claude Desktop, then ask:
"What tools do you have available from mcp scholarly?"
Prerequisites
- Python 3.10 or higher
- pip or uv package manager
- Claude Desktop or Claude API access
Configuration
No configuration required. This server works out of the box.
Usage Examples
List Resources
"What resources are available in mcp scholarly?"
Claude will query available resources and return a list of what you can access.
Get Details
"Show me details about [specific item] in mcp scholarly"
Claude will fetch and display detailed information about the requested item.
Create New
"Create a new [item] in mcp scholarly with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
Works with mcp scholarly
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