A MCP server to search for accurate academic articles.
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.
This Model Context Protocol (MCP) server enables LLMs like Claude to perform internet research using the Perplexity API. It provides real-time, up-to-date information with source citations.
A DuckDuckGo search plugin for Model Context Protocol (MCP), compatible with Claude Code. Provides web search functionality with advanced navigation and content exploration features.
A Model Context Protocol server for SMTP email services
A Python-based MCP (Model Context Protocol) server that predicts the origin