Skip to main content

MCP server for downloading academic papers from multiple sources

Project description

Paper Download MCP Server

PyPI version Python Version License: MIT Downloads

MCP server for downloading academic papers from multiple sources with intelligent routing.

Note: This project is built on top of scihub-cli, adapting its core functionality for MCP integration. If you find this useful, consider starring both projects!

Features

  • Multi-Source Support: Downloads from multiple sources with automatic fallback
    • arXiv: Prioritized for preprints (free, no API key needed)
    • Unpaywall: For open access papers (requires email)
    • Direct PDF: Handles direct PDF URLs
    • PMC: PubMed Central articles
    • HTML Landing: Extracts PDF links from article pages
    • Sci-Hub: Fallback for older papers (coverage-driven)
    • CORE: Additional OA fallback
  • Intelligent Routing: Priority-based source selection with year-aware routing
  • 3 MCP Tools:
    • paper_download - Download single paper by DOI or URL
    • paper_batch_download - Download multiple papers with progress reporting
    • paper_metadata - Get paper metadata without downloading PDF
  • Clean Filenames: [YYYY] - Paper Title.pdf format
  • Optional Markdown Conversion: Convert downloaded PDFs to Markdown (to_markdown)
  • Rate Limiting: Built-in delays for API compliance
  • Comprehensive Error Messages: Actionable suggestions on failures

Installation

For Users (Recommended)

No manual installation required! Use uvx for automatic environment management:

{
  "mcpServers": {
    "paper-download": {
      "command": "uvx",
      "args": ["paper-download-mcp"],
      "env": {
        "PAPER_DOWNLOAD_EMAIL": "your-email@university.edu"
      }
    }
  }
}

For Developers

git clone <repository-url>
cd paper-download-mcp
uv sync
uv run python -m paper_download_mcp.server

Configuration

Required Environment Variables

  • PAPER_DOWNLOAD_EMAIL: Your email address (required for Unpaywall API compliance)
    • Example: researcher@university.edu
    • Used for Unpaywall API tracking and contact purposes

Optional Environment Variables

  • PAPER_DOWNLOAD_OUTPUT_DIR: Default output directory (default: ./downloads)

Claude Desktop Setup

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "paper-download": {
      "command": "uvx",
      "args": ["paper-download-mcp"],
      "env": {
        "PAPER_DOWNLOAD_EMAIL": "your-email@university.edu",
        "PAPER_DOWNLOAD_OUTPUT_DIR": "/path/to/papers"
      }
    }
  }
}

After configuration, restart Claude Desktop.

Tools

paper_download

Download a single academic paper by DOI or URL.

Parameters:

  • identifier (required): DOI or URL (e.g., 10.1038/nature12373)
  • output_dir (optional): Output directory (default: ./downloads)
  • to_markdown (optional): Convert downloaded PDF to Markdown (default: false)
  • md_output_dir (optional): Markdown output directory (default: <pdf_output_dir>/md)

Example:

Download the paper 10.1038/nature12373

Returns:

  • Markdown with download details (file path, size, source, timing)
  • Markdown conversion status/path when enabled
  • Error message with suggestions if download fails

paper_batch_download

Download multiple papers sequentially with progress reporting.

Parameters:

  • identifiers (required): List of DOIs or URLs (1-50 maximum)
  • output_dir (optional): Output directory (default: ./downloads)
  • to_markdown (optional): Convert downloaded PDFs to Markdown (default: false)
  • md_output_dir (optional): Markdown output directory (default: <pdf_output_dir>/md)

Example:

Download these papers: 10.1038/nature12373, 10.1126/science.1234567

Returns:

  • Markdown summary with statistics
  • List of successful downloads
  • List of failed downloads with errors
  • Markdown conversion status/path per successful item when enabled

Note: Downloads are sequential with 2-second delays for rate limiting.

paper_metadata

Retrieve paper metadata without downloading the PDF.

Parameters:

  • identifier (required): DOI or URL

Example:

Get metadata for 10.1038/nature12373

Returns:

  • JSON with paper details:
    • DOI, title, year, authors, journal
    • Open access status
    • Available download sources

How It Works

Intelligent Source Routing

The server uses priority routing to keep fast sources first:

  1. arXiv IDs/URLs: Try arXiv first, then OA sources if needed
  2. DOIs (year < 2021): OA sources first, Sci-Hub last
  3. DOIs (year ≥ 2021): OA sources only (Sci-Hub has no coverage)
  4. Year unknown: OA sources first, Sci-Hub last

Download Process

  1. Normalize DOI from URL/identifier
  2. Detect publication year via Crossref API (DOIs only)
  3. Route to appropriate source based on priority/year
  4. Download PDF with retry on failure
  5. Validate file (PDF header, size check)
  6. Generate filename: [YYYY] - Title.pdf
  7. Return absolute file path

Rate Limiting

  • 2-second delay between batch downloads
  • Respects Unpaywall API limits (~100k requests/day)
  • Built-in exponential backoff retry (3 attempts max)

Troubleshooting

"PAPER_DOWNLOAD_EMAIL environment variable is required"

Solution: Set the email in your Claude Desktop config (see Configuration section above).

"Paper not found in any source"

Possible causes:

  • Invalid or incorrect DOI
  • Paper too recent (not yet indexed)
  • Paper behind paywall with no open access version
  • Sci-Hub mirrors temporarily unavailable

Solutions:

  • Verify DOI on doi.org
  • Use paper_metadata to check availability
  • Try again later (mirrors may recover)

Download times out

Causes:

  • Slow network connection
  • Sci-Hub mirror selection taking too long
  • Large PDF file

Solutions:

  • Check internet connection
  • Retry (mirror selection is cached after first success)
  • Single papers typically complete in <15 seconds

Downloaded file is corrupted

The server validates PDFs before returning. If you encounter corruption:

  1. Check disk space
  2. Verify file permissions in output directory
  3. Try different paper (may be source issue)

Testing

MCP Inspector

Test the server with MCP Inspector:

export PAPER_DOWNLOAD_EMAIL=test@example.com
npx @modelcontextprotocol/inspector uv run python -m paper_download_mcp.server

Unit Tests

uv run pytest

Legal Notice

IMPORTANT: This tool provides access to academic papers through multiple sources:

  • Unpaywall (https://unpaywall.org): Legal open-access aggregator operated by OurResearch. Recommended and prioritized when available.

  • Sci-Hub: Operates in a legal gray area. While it provides access to research, it may violate copyright laws in some jurisdictions. Use at your own risk.

User Responsibilities:

  • You are responsible for compliance with applicable copyright laws in your jurisdiction
  • This tool is intended for research and educational purposes only
  • The maintainers assume no liability for how you use this tool
  • When possible, prefer legal open-access sources (Unpaywall)

By using this tool, you acknowledge these legal considerations and agree to use it responsibly.

Project Structure

paper-download-mcp/
├── src/
│   └── paper_download_mcp/
│       ├── server.py           # FastMCP entry point
│       ├── models.py           # Pydantic input schemas
│       ├── formatters.py       # Markdown/JSON formatters
│       ├── tools/
│       │   ├── download.py     # Download tools
│       │   └── metadata.py     # Metadata tool
│       └── scihub_core/        # Copied from scihub-cli
├── pyproject.toml
├── README.md
└── .gitignore

Architecture

Layer Architecture

  1. FastMCP Server Layer: Protocol handling, tool registration, config validation
  2. MCP Tools Layer: Request parsing, response formatting, async coordination
  3. Models & Formatters: Data validation, output serialization
  4. scihub_core Layer: Academic paper logic (unchanged from scihub-cli)

Async Pattern

All tools use asyncio.to_thread() to wrap synchronous scihub-cli code:

@mcp.tool()
async def paper_download(...):
    def _sync_download():
        # Synchronous scihub-cli code
        client = SciHubClient()
        return client.download_paper(doi)

    # Run in thread pool
    result = await asyncio.to_thread(_sync_download)
    return format_result(result)

This preserves the battle-tested scihub-cli code without modifications.

Performance

Operation Target Typical Max
Get Metadata <1s 0.5s 2s
Single Download <5s 2-3s 10s
Batch (10 papers) <40s 25-30s 60s

Note: First download may take longer (5-10s) due to mirror selection. Subsequent downloads use cached mirror.

Contributing

For Maintainers: Syncing from scihub-cli

The scihub_core/ directory contains code copied from the upstream scihub-cli project. When bugs are fixed or features added to scihub-cli:

Workflow:

  1. Fix/implement in scihub-cli project first
  2. Run tests and commit to scihub-cli
  3. Copy updated files to paper-download-mcp/src/paper_download_mcp/scihub_core/
  4. Test MCP server functionality
  5. Commit with message referencing upstream commit:
    sync: Update <file> from scihub-cli (<description>)
    
    Synced from scihub-cli commit <hash>
    <details of changes>
    

Last sync: scihub-cli@9787efc (2024-12-02) - Fixed year type bug in UnpaywallSource

License

MIT License - See LICENSE file for details

Credits

Support

For issues or questions:

  1. Check the Troubleshooting section above
  2. Open an issue on GitHub (include error messages and steps to reproduce)

Disclaimer: This tool is provided as-is for research and educational purposes. Users assume all responsibility for compliance with applicable laws and regulations.

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

paper_download_mcp-0.5.0.tar.gz (139.7 kB view details)

Uploaded Source

Built Distribution

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

paper_download_mcp-0.5.0-py3-none-any.whl (66.1 kB view details)

Uploaded Python 3

File details

Details for the file paper_download_mcp-0.5.0.tar.gz.

File metadata

  • Download URL: paper_download_mcp-0.5.0.tar.gz
  • Upload date:
  • Size: 139.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for paper_download_mcp-0.5.0.tar.gz
Algorithm Hash digest
SHA256 107db1e7926ef216985b365080e7d69ff6b396fd427b3f41b4f216349146bde3
MD5 7b1b7f20ac73dbfe49dd4fad296050cc
BLAKE2b-256 93c9189e7d77b110d7608fefedf860b16dd3bf990c478d2f900b77ece8caf093

See more details on using hashes here.

Provenance

The following attestation bundles were made for paper_download_mcp-0.5.0.tar.gz:

Publisher: publish-pypi.yml on Oxidane-bot/paper-download-mcp

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file paper_download_mcp-0.5.0-py3-none-any.whl.

File metadata

File hashes

Hashes for paper_download_mcp-0.5.0-py3-none-any.whl
Algorithm Hash digest
SHA256 27b9c4e7bb17b4f7b9c7e66074f2cdce8f38a07c1978c6fb77b129642cf26502
MD5 2a90148b1dc82739cf2c88e420297b5f
BLAKE2b-256 2fcde3d08e82558d7d04906369486ff4fdefb2733a1ffea474af5578dbfb89e3

See more details on using hashes here.

Provenance

The following attestation bundles were made for paper_download_mcp-0.5.0-py3-none-any.whl:

Publisher: publish-pypi.yml on Oxidane-bot/paper-download-mcp

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

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