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.
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.
pip install mcp-scholarlyAdd this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"adityak74-mcp-scholarly-github": {
"command": "uvx",
"args": [
"pip install mcp-scholarly"
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from mcp scholarly?"
No configuration required. This server works out of the box.
"What resources are available in mcp scholarly?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in mcp scholarly"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in mcp scholarly with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
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