mcp scholarly
Enables users to search for academic articles on platforms like arXiv using specific keywords, with plans to integrate more scholarly databases in the future.
Enables users to search for academic articles on platforms like arXiv using specific keywords, with plans to integrate more scholarly databases in the future.
A MCP server to search for accurate academic articles. More scholarly vendors will be added soon.
The server implements one tool: - search-arxiv: Search arxiv for articles related to the given keyword. - Takes "keyword" as required string arguments
On MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json
"mcpServers": {
"mcp-scholarly": {
"command": "uv",
"args": [
"--directory",
"/Users/adityakarnam/PycharmProjects/mcp-scholarly/mcp-scholarly",
"run",
"mcp-scholarly"
]
}
}
"mcpServers": {
"mcp-scholarly": {
"command": "uvx",
"args": [
"mcp-scholarly"
]
}
}
or if you are using Docker
"mcpServers": {
"mcp-scholarly": {
"command": "docker",
"args": [
"run", "--rm", "-i",
"mcp/scholarly"
]
}
}
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:
Sync dependencies and update lockfile:
uv sync
Build package distributions:
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: --token
or UV_PUBLISH_TOKEN
- Or username/password: --username
/UV_PUBLISH_USERNAME
and --password
/UV_PUBLISH_PASSWORD
Since 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.
[
{
"description": "Search arxiv for articles related to the given keyword.",
"inputSchema": {
"properties": {
"keyword": {
"type": "string"
}
},
"required": [
"keyword"
],
"type": "object"
},
"name": "search-arxiv"
},
{
"description": "Search google scholar for articles related to the given keyword.",
"inputSchema": {
"properties": {
"keyword": {
"type": "string"
}
},
"required": [
"keyword"
],
"type": "object"
},
"name": "search-google-scholar"
}
]