io.github.MCPServings/paper-mcp

up checked 2026-11-11T11:39:11.426Z

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Publisher-provided description

Search arXiv/Semantic Scholar/OpenAlex + medical evidence (PubMed/Europe PMC) + LaTeX/PDF tools.

Summary by lookupd

Searches academic and medical literature, retrieves paper and author metadata, traces citations, extracts PDF text, and lints LaTeX.

Install

Claude Code, remote (streamable-http)

claude mcp add --transport http paper https://latex-tools.online/mcp

Codex, remote (streamable-http)

codex mcp add paper --url https://latex-tools.online/mcp

Cursor, remote (streamable-http) → .cursor/mcp.json

{
  "mcpServers": {
    "paper": {
      "url": "https://latex-tools.online/mcp"
    }
  }
}

Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.

Tools (showing 30 of 41)

Publisher-provided text

• search_papers Search academic papers. Returns normalized hits with a short abstract preview; call get_paper for the full record.
• search_all Aggregated search across arXiv, Semantic Scholar, OpenAlex and Yongleji at once. Fans out concurrently, de-duplicates the same work across corpora (by DOI or ti
• search_medical Evidence-graded MEDICAL literature search (PubMed + Europe PMC). Unlike search_all (generic, ranks high-cited reviews/guidelines above trials), this filters by
• get_paper Fetch one paper by id, with full abstract and PDF link.
• search_by_author Find papers by a specific author, newest first.
• list_recent List the latest papers in a subject category, newest first.
• list_categories List common subject category codes for filtering/recent.
• 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
• list_paper_sources List available paper corpora.
• 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
• 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. Return
• list_ocr_models List the OCR models available for recognize_formula / recognize_table.
• 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, elap
• 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). Provi
• 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 'r
• get_paper_citations Semantic Scholar: papers that CITE this one (forward citation graph). id accepts S2 id / DOI: / ARXIV: / CorpusId:.
• get_paper_references Semantic Scholar: papers this one REFERENCES (its bibliography). id accepts S2 id / DOI: / ARXIV: / CorpusId:.
• get_paper_authors Semantic Scholar: the authors of a paper (with h-index, paper/citation counts).
• match_paper_title Semantic Scholar: find the single paper whose title best matches the given text (exact-match lookup).
• autocomplete_papers Semantic Scholar: autocomplete paper titles for a partial query (fast type-ahead).
• 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_
• get_papers_batch Semantic Scholar: fetch many papers at once by id (S2/DOI:/ARXIV:/CorpusId:), up to ~500 per call.
• search_authors Semantic Scholar: search for authors by name; returns profiles with h-index and paper/citation counts.
• get_author Semantic Scholar: a single author's profile by id.
• get_author_papers Semantic Scholar: all papers by a given author id, newest first.
• get_authors_batch Semantic Scholar: fetch many authors at once by id.
• search_snippets Semantic Scholar: search INSIDE paper full text and return matching text snippets (not just titles/abstracts).
• 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 f
• recommend_papers_from_examples Semantic Scholar: recommend papers from positive (and optional negative) example paper ids.
• list_dataset_releases Semantic Scholar Datasets: list all available release ids (dated snapshots of the full corpus).

Details

• Version: 0.5.0
• Transports: streamable-http
• Uptime (7 days): 100%
• Median latency: 863 ms
• First indexed: 2026-11-01T09:12:05.681Z
• Last seen in registry: 2026-11-01T09:12:05.720Z
• Repository: https://github.com/MCPServings/paper-mcp
• Website: https://latex-tools.online/mcp

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• Last crawl: 2026-11-11T16:17:25.167Z
• API base: https://api.lookupd.com
• MCP URL: https://api.lookupd.com/mcp