Skip to main content

A MCP server to search for accurate academic articles.

Project description

MseeP.ai Security Assessment Badge

mcp-scholarly MCP server

smithery badge

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

demo1.jpeg

image

Scholarly Server MCP server

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

Development/Unpublished Servers Configuration ``` "mcpServers": { "mcp-scholarly": { "command": "uv", "args": [ "--directory", "/Users/adityakarnam/PycharmProjects/mcp-scholarly/mcp-scholarly", "run", "mcp-scholarly" ] } } ```
Published Servers Configuration ``` "mcpServers": { "mcp-scholarly": { "command": "uvx", "args": [ "mcp-scholarly" ] } } ```

or if you are using Docker

Published Docker Servers Configuration ``` "mcpServers": { "mcp-scholarly": { "command": "docker", "args": [ "run", "--rm", "-i", "mcp/scholarly" ] } } ```

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mcp_scholarly_enhanced-0.1.3.tar.gz (287.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

mcp_scholarly_enhanced-0.1.3-py3-none-any.whl (6.7 kB view details)

Uploaded Python 3

File details

Details for the file mcp_scholarly_enhanced-0.1.3.tar.gz.

File metadata

File hashes

Hashes for mcp_scholarly_enhanced-0.1.3.tar.gz
Algorithm Hash digest
SHA256 6f87fdc57c50f56e9f4f89796285cd86824a8cc4d6a0585d1b5b8cfd59f6112c
MD5 d7b92651fc131a4d1265acc688c3dd39
BLAKE2b-256 5959dc92e973da3ec3f547f8255160b4d87404153695214ed339ab2c259eca60

See more details on using hashes here.

File details

Details for the file mcp_scholarly_enhanced-0.1.3-py3-none-any.whl.

File metadata

File hashes

Hashes for mcp_scholarly_enhanced-0.1.3-py3-none-any.whl
Algorithm Hash digest
SHA256 19c8358126b82b4ea0eabb5a7871acb1ea82bb6b3d93b10e088a538c8389ef88
MD5 6c6e2d75ba436152d52ebe364d1b26dc
BLAKE2b-256 02ac10dbb1d139b2d169d2d2a122a9b3e9d047ffe7594c9fa9555d1f6d197fb9

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page