Skip to main content
Glama

MCP Scholarly Server

by adityak74
MIT License
118
  • Apple

mcp-scholarly MCP server

A MCP server to search for accurate academic articles. More scholarly vendors will be added soon.

demo1.jpeg

image

star-history-202551

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:

  1. Sync dependencies and update lockfile:
uv sync
  1. Build package distributions:
uv build

This will create source and wheel distributions in the dist/ directory.

  1. 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.

Install Server
A
security – no known vulnerabilities
A
license - permissive license
A
quality - confirmed to work

Enables users to search for academic articles on platforms like arXiv using specific keywords, with plans to integrate more scholarly databases in the future.

  1. Components
    1. Tools
  2. Quickstart
    1. Install
    2. Installing via Smithery
  3. Development
    1. Building and Publishing
    2. Debugging

Related MCP Servers

  • A
    security
    A
    license
    A
    quality
    Enables real-time search and retrieval of academic paper information from multiple sources, providing access to paper metadata, abstracts, and full-text content when available, with structured data responses for integration with AI models that support tool/function calling.
    Last updated -
    3
    11
    Python
    AGPL 3.0
  • A
    security
    A
    license
    A
    quality
    Enables AI assistants to search and access arXiv research papers through a simple Message Control Protocol interface, allowing for paper search, download, listing, and reading capabilities.
    Last updated -
    4
    1
    Python
    Apache 2.0
  • -
    security
    F
    license
    -
    quality
    Enables search and retrieval of academic papers from PubMed database with advanced features like MeSH term lookup, publication statistics, and PICO-based evidence search.
    Last updated -
    Python
    • Apple
  • -
    security
    F
    license
    -
    quality
    Provides tools for accessing the Semantic Scholar API to search papers, retrieve paper and author details, and fetch citations and references through the Model Context Protocol.
    Last updated -
    1
    Python
    • Apple
    • Linux

View all related MCP servers

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/adityak74/mcp-scholarly'

If you have feedback or need assistance with the MCP directory API, please join our Discord server