Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"mcp-scholarly": {
"args": [
"-y",
"mcp-scholarly"
],
"command": "npx"
}
}
}Are you the author?
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A MCP server to search for accurate academic articles. More scholarly vendors will be added soon.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
npx -y 'mcp-scholarly' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
Checked mcp-scholarly against OSV.dev.
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A MCP server to search for accurate academic articles. More scholarly vendors will be added soon.

The server implements one tool:
On MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json
or if you are using Docker
To install mcp-scholarly for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install mcp-scholarly --client claude
To prepare the package for distribution:
uv sync
uv build
This will create source and wheel distributions in the dist/ directory.
uv publish
Note: You'll need to set PyPI credentials via environment variables or command flags:
--token or UV_PUBLISH_TOKEN--username/UV_PUBLISH_USERNAME and --password/UV_PUBLISH_PASSWORDSince MCP servers run over stdio, debugging can be challenging. For the best debugging experience, we strongly recommend using the MCP Inspector.
You can launch the MCP Inspector via npm with this command:
npx @modelcontextprotocol/inspector uv --directory /Users/adityakarnam/PycharmProjects/mcp-scholarly/mcp-scholarly run mcp-scholarly
Upon launching, the Inspector will display a URL that you can access in your browser to begin debugging.