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mcp-scholarly MCP server

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

demo1.jpeg

image

Scholarly Server MCP server

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Development/Unpublished Servers Configuration ``` "mcpServers": { "mcp-scholarly": { "command": "uv", "args": [ "--directory",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" ] } } ```

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.

Metadata

Release files for mcp-scholarly 0.1.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for mcp-scholarly 0.1.0
File Size Uploaded Provenance
mcp_scholarly-0.1.0.tar.gz 20.1 MB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for mcp-scholarly 0.1.0
File Interpreter ABI Platform
mcp_scholarly-0.1.0-py3-none-any.whl Python 3 none any Details

Total release size: 20.1 MB

Release files / mcp_scholarly-0.1.0.tar.gz

Download URL mcp_scholarly-0.1.0.tar.gz
Size 20.1 MB
Tags Source
SHA-256 checksum
How to use checksums
cf7a65988e5a8d9386c4ae589fc684b83cda86d0f8ee7ca991a6ba7039299424
BLAKE2b-256 checksum
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b9f442122d0a6872007b4e3a0391af6f32aa3c299bdaaa57c7dcf8c3addb8438
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No
Uploaded via uv/0.5.17

Release files / mcp_scholarly-0.1.0-py3-none-any.whl

Download URL mcp_scholarly-0.1.0-py3-none-any.whl
Size 5.9 kB
Tags Python 3
SHA-256 checksum
How to use checksums
cffcc65cee6c473972dd947459350e52264d09d4613dbf386ac5de4f765e7190
BLAKE2b-256 checksum
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3efc7be9c48aadb5c893ad489eedd67a9a8db236331c3d14111c7f158f003c34
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Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via uv/0.5.17

Security for mcp-scholarly 0.1.0

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

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PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

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This release

0.1.0 This release

2 release files No provenance

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