What is A MCP server to search for accurate academic articles.?
mcp-scholarly is a MCP server designed to search for accurate academic articles. It currently implements a tool to search arxiv for articles related to given keywords. More scholarly vendors will be added soon.
Documentation
mcp-scholarly MCP server
A MCP server to search for accurate academic articles. More scholarly vendors will be added soon.
Components# Tools
The server implements one tool:
search-arxiv: Search arxiv for articles related to the given keyword.
Takes "keyword" as required string arguments
Quickstart# Install
Claude Desktop
On MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json
or if you are using Docker
Installing via Smithery
To install mcp-scholarly for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install mcp-scholarly --client claude
Development# Building and Publishing
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.
Publish to PyPI:
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
Debugging
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.