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MCP Server

paper-mcp

io.github.MCPServings/paper-mcp
Science & Engineering Search & Research Public & reachable MCP 2025-11-25

What this MCP does

Searches and retrieves academic papers and citation data across arXiv, Semantic Scholar, OpenAlex, PubMed, and Europe PMC, with PDF extraction, OCR, and LaTeX tools.

Capabilities

Tools

41 tools
autocomplete_papers
Semantic Scholar: autocomplete paper titles for a partial query (fast type-ahead).
Input schema 
{'type': 'object', 'title': 'autocomplete_papersArguments', 'required': ['query'], 'properties': {'query': {'type': 'string', 'title': 'Query'}}}
extract_pdf
Extract a PDF to clean Markdown/LaTeX text via MinerU (great for papers behind no open-access full text — give the user's PDF and get readable text back). Provide pdf_url (downloaded server-side, SSRF-guarded) OR pdf_base64. formula/table toggle math/table reconstruction. Returns {task_id, status, cached, content, chars}: a recently-seen (cached) or small PDF comes back with `content` in one call; a fresh PDF (MinerU is GPU-heavy, minutes) returns status='running' + a task_id — then call extract_pdf_result(task_id) to fetch the text.
Input schema 
{'type': 'object', 'title': 'extract_pdfArguments', 'properties': {'table': {'type': 'boolean', 'title': 'Table', 'default': True}, 'formula': {'type': 'boolean', 'title': 'Formula', 'default': True}, 'pdf_url': {'type': 'string', 'title': 'Pdf Url', 'default': ''}, 'pdf_base64': {'type': 'string', 'title': 'Pdf Base64', 'default': ''}}}
extract_pdf_result
Fetch the result of an extract_pdf job by task_id. Returns {task_id, status, content, chars}: `content` is the extracted text once status='done'; while still 'running' content is null — call again shortly. Results expire server-side, so fetch reasonably soon.
Input schema 
{'type': 'object', 'title': 'extract_pdf_resultArguments', 'required': ['task_id'], 'properties': {'task_id': {'type': 'string', 'title': 'Task Id'}}}
get_author
Semantic Scholar: a single author's profile by id.
Input schema 
{'type': 'object', 'title': 'get_authorArguments', 'required': ['author_id'], 'properties': {'author_id': {'type': 'string', 'title': 'Author Id'}}}
get_author_papers
Semantic Scholar: all papers by a given author id, newest first.
Input schema 
{'type': 'object', 'title': 'get_author_papersArguments', 'required': ['author_id'], 'properties': {'start': {'type': 'integer', 'title': 'Start', 'default': 0}, 'author_id': {'type': 'string', 'title': 'Author Id'}, 'max_results': {'type': 'integer', 'title': 'Max Results', 'default': 20}}}
get_authors_batch
Semantic Scholar: fetch many authors at once by id.
Input schema 
{'type': 'object', 'title': 'get_authors_batchArguments', 'required': ['ids'], 'properties': {'ids': {'type': 'array', 'items': {'type': 'string'}, 'title': 'Ids'}}}
get_dataset_diffs
Semantic Scholar Datasets: incremental diff (added/updated/deleted) for a dataset between two releases. Needs the key.
Input schema 
{'type': 'object', 'title': 'get_dataset_diffsArguments', 'required': ['dataset_name', 'start_release'], 'properties': {'end_release': {'type': 'string', 'title': 'End Release', 'default': 'latest'}, 'dataset_name': {'type': 'string', 'title': 'Dataset Name'}, 'start_release': {'type': 'string', 'title': 'Start Release'}}}
get_dataset_download_links
Semantic Scholar Datasets: get download links (presigned URLs) for one dataset in a release. Needs the API key.
Input schema 
{'type': 'object', 'title': 'get_dataset_download_linksArguments', 'required': ['dataset_name'], 'properties': {'release_id': {'type': 'string', 'title': 'Release Id', 'default': 'latest'}, 'dataset_name': {'type': 'string', 'title': 'Dataset Name'}}}
get_dataset_release
Semantic Scholar Datasets: which datasets a release contains (papers, abstracts, citations, embeddings, s2orc, tldrs…). release_id defaults to 'latest'.
Input schema 
{'type': 'object', 'title': 'get_dataset_releaseArguments', 'properties': {'release_id': {'type': 'string', 'title': 'Release Id', 'default': 'latest'}}}
get_openalex_citations
OpenAlex: papers that CITE this work (forward citation graph), most-cited first.
Input schema 
{'type': 'object', 'title': 'get_openalex_citationsArguments', 'required': ['work_id'], 'properties': {'start': {'type': 'integer', 'title': 'Start', 'default': 0}, 'work_id': {'type': 'string', 'title': 'Work Id'}, 'max_results': {'type': 'integer', 'title': 'Max Results', 'default': 10}}}
get_openalex_references
OpenAlex: the works this one REFERENCES (its bibliography).
Input schema 
{'type': 'object', 'title': 'get_openalex_referencesArguments', 'required': ['work_id'], 'properties': {'work_id': {'type': 'string', 'title': 'Work Id'}, 'max_results': {'type': 'integer', 'title': 'Max Results', 'default': 25}}}
get_openalex_trends
OpenAlex: publication-trend analytics for a query — counts grouped by year (default), or by 'institutions.id', 'authorships.author.id', 'open_access.is_oa', 'type', 'language'. Returns aggregate counts only (cheap, no rows).
Input schema 
{'type': 'object', 'title': 'get_openalex_trendsArguments', 'required': ['query'], 'properties': {'query': {'type': 'string', 'title': 'Query'}, 'group_by': {'type': 'string', 'title': 'Group By', 'default': 'publication_year'}}}
get_openalex_work
OpenAlex: fetch one work's full record (316M-work, all-field corpus). id accepts OpenAlex Wxxxx, a DOI, or an arXiv id.
Input schema 
{'type': 'object', 'title': 'get_openalex_workArguments', 'required': ['work_id'], 'properties': {'work_id': {'type': 'string', 'title': 'Work Id'}}}
get_paper
Fetch one paper by id, with full abstract and PDF link.
Input schema 
{'type': 'object', 'title': 'get_paperArguments', 'required': ['paper_id'], 'properties': {'source': {'type': 'string', 'title': 'Source', 'default': 'arxiv'}, 'paper_id': {'type': 'string', 'title': 'Paper Id'}}}
get_paper_authors
Semantic Scholar: the authors of a paper (with h-index, paper/citation counts).
Input schema 
{'type': 'object', 'title': 'get_paper_authorsArguments', 'required': ['paper_id'], 'properties': {'start': {'type': 'integer', 'title': 'Start', 'default': 0}, 'paper_id': {'type': 'string', 'title': 'Paper Id'}, 'max_results': {'type': 'integer', 'title': 'Max Results', 'default': 100}}}
get_paper_citations
Semantic Scholar: papers that CITE this one (forward citation graph). id accepts S2 id / DOI: / ARXIV: / CorpusId:.
Input schema 
{'type': 'object', 'title': 'get_paper_citationsArguments', 'required': ['paper_id'], 'properties': {'start': {'type': 'integer', 'title': 'Start', 'default': 0}, 'paper_id': {'type': 'string', 'title': 'Paper Id'}, 'max_results': {'type': 'integer', 'title': 'Max Results', 'default': 10}}}
get_paper_references
Semantic Scholar: papers this one REFERENCES (its bibliography). id accepts S2 id / DOI: / ARXIV: / CorpusId:.
Input schema 
{'type': 'object', 'title': 'get_paper_referencesArguments', 'required': ['paper_id'], 'properties': {'start': {'type': 'integer', 'title': 'Start', 'default': 0}, 'paper_id': {'type': 'string', 'title': 'Paper Id'}, 'max_results': {'type': 'integer', 'title': 'Max Results', 'default': 10}}}
get_papers_batch
Semantic Scholar: fetch many papers at once by id (S2/DOI:/ARXIV:/CorpusId:), up to ~500 per call.
Input schema 
{'type': 'object', 'title': 'get_papers_batchArguments', 'required': ['ids'], 'properties': {'ids': {'type': 'array', 'items': {'type': 'string'}, 'title': 'Ids'}}}
lint_latex
Lint a LaTeX snippet: report errors and return an auto-fixed version. Input `code` (the LaTeX source). Returns {errors, fixed_code, summary_en, summary_zh, elapsed_ms}.
Input schema 
{'type': 'object', 'title': 'lint_latexArguments', 'required': ['code'], 'properties': {'code': {'type': 'string', 'title': 'Code'}}}
list_categories
List common subject category codes for filtering/recent.
Input schema 
{'type': 'object', 'title': 'list_categoriesArguments', 'properties': {'source': {'type': 'string', 'title': 'Source', 'default': 'arxiv'}}}
list_dataset_releases
Semantic Scholar Datasets: list all available release ids (dated snapshots of the full corpus).
Input schema 
{'type': 'object', 'title': 'list_dataset_releasesArguments', 'properties': {}}
list_ocr_models
List the OCR models available for recognize_formula / recognize_table.
Input schema 
{'type': 'object', 'title': 'list_ocr_modelsArguments', 'properties': {}}
list_openalex_topics
OpenAlex: search the topic taxonomy (~4500 topics) to find the right subject term for filtering or recent-work queries.
Input schema 
{'type': 'object', 'title': 'list_openalex_topicsArguments', 'required': ['query'], 'properties': {'query': {'type': 'string', 'title': 'Query'}, 'max_results': {'type': 'integer', 'title': 'Max Results', 'default': 15}}}
list_paper_sources
List available paper corpora.
Input schema 
{'type': 'object', 'title': 'list_paper_sourcesArguments', 'properties': {}}
list_recent
List the latest papers in a subject category, newest first.
Input schema 
{'type': 'object', 'title': 'list_recentArguments', 'required': ['category'], 'properties': {'start': {'type': 'integer', 'title': 'Start', 'default': 0}, 'source': {'type': 'string', 'title': 'Source', 'default': 'arxiv'}, 'category': {'type': 'string', 'title': 'Category'}, 'max_results': {'type': 'integer', 'title': 'Max Results', 'default': 10}}}
match_paper_title
Semantic Scholar: find the single paper whose title best matches the given text (exact-match lookup).
Input schema 
{'type': 'object', 'title': 'match_paper_titleArguments', 'required': ['title'], 'properties': {'title': {'type': 'string', 'title': 'Title'}}}
read_paper
Read a paper's full text. format='markdown' (default, body with formulas as $LaTeX$), 'html' (raw LaTeXML HTML), or 'latex' (the original LaTeX manuscript from the e-print source). arXiv only; id like 2401.01234.
Input schema 
{'type': 'object', 'title': 'read_paperArguments', 'required': ['paper_id'], 'properties': {'format': {'type': 'string', 'title': 'Format', 'default': 'markdown'}, 'source': {'type': 'string', 'title': 'Source', 'default': 'arxiv'}, 'paper_id': {'type': 'string', 'title': 'Paper Id'}}}
recognize_formula
Recognize a math formula from an image and return LaTeX. Provide image_url (downloaded server-side) OR image_base64. model: deepseek-ocr (default), paddleocr-vl, or texify. Returns {latex, model, elapsed_ms}.
Input schema 
{'type': 'object', 'title': 'recognize_formulaArguments', 'properties': {'model': {'type': 'string', 'title': 'Model', 'default': 'deepseek-ocr'}, 'image_url': {'type': 'string', 'title': 'Image Url', 'default': ''}, 'image_base64': {'type': 'string', 'title': 'Image Base64', 'default': ''}}}
recognize_table
Recognize a table from an image and return LaTeX tabular code. Provide image_url OR image_base64. model: deepseek-ocr (default), paddleocr-vl, or texify. Returns {latex, model, elapsed_ms}.
Input schema 
{'type': 'object', 'title': 'recognize_tableArguments', 'properties': {'model': {'type': 'string', 'title': 'Model', 'default': 'deepseek-ocr'}, 'image_url': {'type': 'string', 'title': 'Image Url', 'default': ''}, 'image_base64': {'type': 'string', 'title': 'Image Base64', 'default': ''}}}
recommend_papers_for_paper
Semantic Scholar: recommend papers similar to one paper. pool='recent' (last open corpus) or 'all-cs' (all of CS). If the 'recent' pool yields nothing (common for older papers), it automatically retries the 'all-cs' pool.
Input schema 
{'type': 'object', 'title': 'recommend_papers_for_paperArguments', 'required': ['paper_id'], 'properties': {'pool': {'type': 'string', 'title': 'Pool', 'default': 'recent'}, 'paper_id': {'type': 'string', 'title': 'Paper Id'}, 'max_results': {'type': 'integer', 'title': 'Max Results', 'default': 10}}}
recommend_papers_from_examples
Semantic Scholar: recommend papers from positive (and optional negative) example paper ids.
Input schema 
{'type': 'object', 'title': 'recommend_papers_from_examplesArguments', 'required': ['positive_ids'], 'properties': {'max_results': {'type': 'integer', 'title': 'Max Results', 'default': 10}, 'negative_ids': {'anyOf': [{'type': 'array', 'items': {'type': 'string'}}, {'type': 'null'}], 'title': 'Negative Ids', 'default': None}, 'positive_ids': {'type': 'array', 'items': {'type': 'string'}, 'title': 'Positive Ids'}}}
search_all
Aggregated search across arXiv, Semantic Scholar and OpenAlex at once. Fans out concurrently, de-duplicates the same work across corpora (by DOI or title) and re-ranks with Reciprocal Rank Fusion, so papers found by several sources rank highest. Each hit lists which `sources` found it and an `ids` map ({source: id}) you can pass to get_paper / read_paper / the citation tools. Prefer this over search_papers for a broad lookup.
Input schema 
{'type': 'object', 'title': 'search_allArguments', 'required': ['query'], 'properties': {'query': {'type': 'string', 'title': 'Query'}, 'sources': {'type': 'string', 'title': 'Sources', 'default': 'arxiv,semanticscholar,openalex'}, 'per_source': {'type': 'integer', 'title': 'Per Source', 'default': 0}, 'max_results': {'type': 'integer', 'title': 'Max Results', 'default': 10}}}
search_authors
Semantic Scholar: search for authors by name; returns profiles with h-index and paper/citation counts.
Input schema 
{'type': 'object', 'title': 'search_authorsArguments', 'required': ['query'], 'properties': {'query': {'type': 'string', 'title': 'Query'}, 'start': {'type': 'integer', 'title': 'Start', 'default': 0}, 'max_results': {'type': 'integer', 'title': 'Max Results', 'default': 10}}}
search_by_author
Find papers by a specific author, newest first.
Input schema 
{'type': 'object', 'title': 'search_by_authorArguments', 'required': ['author'], 'properties': {'start': {'type': 'integer', 'title': 'Start', 'default': 0}, 'author': {'type': 'string', 'title': 'Author'}, 'source': {'type': 'string', 'title': 'Source', 'default': 'arxiv'}, 'max_results': {'type': 'integer', 'title': 'Max Results', 'default': 10}}}
search_medical
Evidence-graded MEDICAL literature search (PubMed + Europe PMC). Unlike search_all (generic, ranks high-cited reviews/guidelines above trials), this filters by research type via PubMed Publication-Type tags and re-ranks by the evidence pyramid (meta-analysis / systematic review > RCT > cohort > ...), so the actual clinical trials surface first. Open-access full text is pulled from Europe PMC by PMID. `query` should be English keyword/boolean text (PubMed maps it); do natural-language/multilingual understanding upstream. Returns hits with pmid/doi/study_type/evidence_level/citations/abstract and, when open-access, fulltext.
Input schema 
{'type': 'object', 'title': 'search_medicalArguments', 'required': ['query'], 'properties': {'query': {'type': 'string', 'title': 'Query'}, 'year_from': {'type': 'integer', 'title': 'Year From', 'default': 0}, 'max_results': {'type': 'integer', 'title': 'Max Results', 'default': 10}, 'study_types': {'type': 'string', 'title': 'Study Types', 'default': 'rct,meta-analysis,systematic-review'}, 'fetch_fulltext': {'type': 'boolean', 'title': 'Fetch Fulltext', 'default': True}}}
search_openalex_authors
OpenAlex: search authors; returns profiles with h-index, i10-index, works/citation counts and institutions.
Input schema 
{'type': 'object', 'title': 'search_openalex_authorsArguments', 'required': ['query'], 'properties': {'query': {'type': 'string', 'title': 'Query'}, 'start': {'type': 'integer', 'title': 'Start', 'default': 0}, 'max_results': {'type': 'integer', 'title': 'Max Results', 'default': 10}}}
search_openalex_institutions
OpenAlex: search institutions (universities, labs) with ROR id, country, works/citation counts.
Input schema 
{'type': 'object', 'title': 'search_openalex_institutionsArguments', 'required': ['query'], 'properties': {'query': {'type': 'string', 'title': 'Query'}, 'max_results': {'type': 'integer', 'title': 'Max Results', 'default': 10}}}
search_openalex_works
OpenAlex: advanced filtered work search. Filters: from_year, to_year, is_oa (open access only), min_citations, institution_id. sort_by: relevance|newest|cited.
Input schema 
{'type': 'object', 'title': 'search_openalex_worksArguments', 'properties': {'is_oa': {'type': 'boolean', 'title': 'Is Oa', 'default': False}, 'query': {'type': 'string', 'title': 'Query', 'default': ''}, 'sort_by': {'type': 'string', 'title': 'Sort By', 'default': 'relevance'}, 'to_year': {'type': 'integer', 'title': 'To Year', 'default': 0}, 'from_year': {'type': 'integer', 'title': 'From Year', 'default': 0}, 'max_results': {'type': 'integer', 'title': 'Max Results', 'default': 25}, 'min_citations': {'type': 'integer', 'title': 'Min Citations', 'default': 0}, 'institution_id': {'type': 'string', 'title': 'Institution Id', 'default': ''}}}
search_papers
Search academic papers. Returns normalized hits with a short abstract preview; call get_paper for the full record.
Input schema 
{'type': 'object', 'title': 'search_papersArguments', 'required': ['query'], 'properties': {'query': {'type': 'string', 'title': 'Query'}, 'start': {'type': 'integer', 'title': 'Start', 'default': 0}, 'source': {'type': 'string', 'title': 'Source', 'default': 'arxiv'}, 'sort_by': {'type': 'string', 'title': 'Sort By', 'default': 'relevance'}, 'max_results': {'type': 'integer', 'title': 'Max Results', 'default': 10}}}
search_papers_bulk
Semantic Scholar: bulk paper search (up to 1000 hits, sortable e.g. 'citationCount:desc' or 'publicationDate:desc', with a continuation token). Filters: fields_of_study, year (e.g. '2020-2024'), venue, publication_types, open_access_pdf.
Input schema 
{'type': 'object', 'title': 'search_papers_bulkArguments', 'required': ['query'], 'properties': {'sort': {'type': 'string', 'title': 'Sort', 'default': ''}, 'year': {'type': 'string', 'title': 'Year', 'default': ''}, 'query': {'type': 'string', 'title': 'Query'}, 'token': {'type': 'string', 'title': 'Token', 'default': ''}, 'venue': {'type': 'string', 'title': 'Venue', 'default': ''}, 'max_results': {'type': 'integer', 'title': 'Max Results', 'default': 100}, 'fields_of_study': {'type': 'string', 'title': 'Fields Of Study', 'default': ''}, 'open_access_pdf': {'type': 'boolean', 'title': 'Open Access Pdf', 'default': False}, 'publication_types': {'type': 'string', 'title': 'Publication Types', 'default': ''}}}
search_snippets
Semantic Scholar: search INSIDE paper full text and return matching text snippets (not just titles/abstracts).
Input schema 
{'type': 'object', 'title': 'search_snippetsArguments', 'required': ['query'], 'properties': {'query': {'type': 'string', 'title': 'Query'}, 'max_results': {'type': 'integer', 'title': 'Max Results', 'default': 10}}}
History

Recent tool changes

Added
list_openalex_topics
Sept. 17, 2026, 12:45 p.m.
Added
get_openalex_trends
Sept. 17, 2026, 12:45 p.m.
Added
search_openalex_works
Sept. 17, 2026, 12:45 p.m.
Added
search_openalex_institutions
Sept. 17, 2026, 12:45 p.m.
Added
search_openalex_authors
Sept. 17, 2026, 12:45 p.m.
Added
get_openalex_references
Sept. 17, 2026, 12:45 p.m.
Added
get_openalex_citations
Sept. 17, 2026, 12:45 p.m.
Added
get_openalex_work
Sept. 17, 2026, 12:45 p.m.
Added
get_dataset_diffs
Sept. 17, 2026, 12:45 p.m.
Added
get_dataset_download_links
Sept. 17, 2026, 12:45 p.m.
Added
get_dataset_release
Sept. 17, 2026, 12:45 p.m.
Added
list_dataset_releases
Sept. 17, 2026, 12:45 p.m.
Added
recommend_papers_from_examples
Sept. 17, 2026, 12:45 p.m.
Added
recommend_papers_for_paper
Sept. 17, 2026, 12:45 p.m.
Added
search_snippets
Sept. 17, 2026, 12:45 p.m.
Added
get_authors_batch
Sept. 17, 2026, 12:45 p.m.
Added
get_author_papers
Sept. 17, 2026, 12:45 p.m.
Added
get_author
Sept. 17, 2026, 12:45 p.m.
Added
search_authors
Sept. 17, 2026, 12:45 p.m.
Added
get_papers_batch
Sept. 17, 2026, 12:45 p.m.
Added
search_papers_bulk
Sept. 17, 2026, 12:45 p.m.
Added
autocomplete_papers
Sept. 17, 2026, 12:45 p.m.
Added
match_paper_title
Sept. 17, 2026, 12:45 p.m.
Added
get_paper_authors
Sept. 17, 2026, 12:45 p.m.
Added
get_paper_references
Sept. 17, 2026, 12:45 p.m.
Added
get_paper_citations
Sept. 17, 2026, 12:45 p.m.
Added
extract_pdf_result
Sept. 17, 2026, 12:45 p.m.
Added
extract_pdf
Sept. 17, 2026, 12:45 p.m.
Added
lint_latex
Sept. 17, 2026, 12:45 p.m.
Added
list_ocr_models
Sept. 17, 2026, 12:45 p.m.
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