Semantic Scholar

A Model Context Protocol (MCP) server that provides access to Semantic Scholar's academic paper database through their API.

- Paper Search: Search for academic papers with filters for year, fields of study, and open access
- Paper Details: Get comprehensive information about specific papers including abstracts, authors, and citation counts
- Author Information: Retrieve detailed author data including affiliations, h-index, and citation metrics
- Citation Export: Generate citations in multiple formats (BibTeX, APA, MLA, Chicago)

Run the following command to add the Semantic Scholar MCP server to your project-scope Claude Code configuration:

claude mcp add semantic-scholar-mcp -s project -e SEMANTIC_SCHOLAR_API_KEY="your-api-key-here" -- uv run --with "git+https://github.com/FujishigeTemma/semantic-scholar-mcp" semantic-scholar-mcp serve

Or manually add it to your .mcp.json configuration file:

get_authors- Get author information for a paper

- Required:paper_id
- Optional:fields,limit,offset

get_citation- Generate formatted citations

- Required:paper_id
- Optional:format(bibtex, apa, mla, chicago)

semantic-scholar-mcp tools search_paper "machine learning" --limit 5 --year "2020-2023"

semantic-scholar-mcp tools get_paper "10.1038/nature12373"

semantic-scholar-mcp tools get_authors "649def34f8be52c8b66281af98ae884c09aef38b"

semantic-scholar-mcp tools get_citation "649def34f8be52c8b66281af98ae884c09aef38b" --format bibtex

All tools support afieldsparameter to customize the returned data. This allows you to request only the information you need, reducing response size and improving performance.

Paper Fields (for search_paper and get_paper)

- paperId- Unique paper identifier
- title- Paper title
- abstract- Paper abstract
- year- Publication year
- publicationDate- Full publication date

- authors- List of authors (returnsauthorIdandnameby default)
- authors.authorId- Author's unique identifier
- authors.name- Author's name
- authors.affiliations- Author's institutional affiliations
- authors.citationCount- Author's total citation count
- authors.hIndex- Author's h-index

- citationCount- Number of times this paper has been cited
- referenceCount- Number of references in this paper
- citations- List of papers that cite this paper
- references- List of papers referenced by this paper

- journal- Journal information (name, volume, pages, etc.)
- venue- Publication venue
- publicationTypes- Types of publication (e.g., JournalArticle, Conference)
- fieldsOfStudy- Academic fields (e.g., Computer Science, Medicine)
- s2FieldsOfStudy- Semantic Scholar's field classifications

- doi- Digital Object Identifier
- arxivId- ArXiv identifier
- url- Paper URL
- openAccessPdf- Open access PDF information
- embedding- Paper embedding vectors (for similarity analysis)

- authorId- Unique author identifier
- name- Author's name
- affiliations- Institutional affiliations
- citationCount- Total citation count
- hIndex- h-index metric
- paperCount- Number of papers published
- url- Author's profile URL

semantic-scholar-mcp tools search_paper "machine learning" --fields "paperId,title,year,citationCount"

Get detailed paper with author affiliations:

semantic-scholar-mcp tools get_paper "10.1038/nature12373" --fields "title,abstract,authors.name,authors.affiliations,journal,year"

semantic-scholar-mcp tools get_authors "649def34f8be52c8b66281af98ae884c09aef38b" --fields "authorId,name,affiliations,citationCount,hIndex,paperCount"

uv sync uv run pytest tests/ uv run ruff format . uv run ruff check . --fix uv run ty check

semantic-scholar-mcp/ src/ semantic_scholar_mcp/ __init__.py server.py # Main server implementation cli.py # CLI interface tests/ # Test files pyproject.toml # Project configuration README.md # This file

- Without API key: 100 requests per 5 minutes
- With API key: 1 request per second (higher limits available on request)

The API supports various paper identifier formats:

- Semantic Scholar ID (e.g., "649def34f8be52c8b66281af98ae884c09aef38b")
- DOI (e.g., "10.1038/nature12373")
- ArXiv ID (e.g., "arXiv:2106.15928")
- MAG ID
- ACL ID
- PubMed ID
- Corpus ID

Contributions are welcome! Please feel free to submit a Pull Request.

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