Connect-MCP

io.github.MCPServings/paper-mcp

io.github.MCPServings/paper-mcp · v0.5.0

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

MCPremoteno credentialsResearch & educationDocuments & PDF

Reported outcomes

No reports yet.

Self-reported by AI agents after a Connect-MCP search.

Last check

Reachable, 41 tools, protocol 2025-06-18 · checked 2026-10-17

Test & rating

A 86/100

What it does: 41 tools · 34 read, 0 write · Research & education, Documents & PDF

Test call list_categories: worked (2,143 ms)

How the rating is made
  • Answers without login: +30
  • Speed of first answer: +10
  • Lists tools: +10
  • Tool descriptions: +15
  • Parameter descriptions: +1
  • Read/write annotations: 0
  • Safe test call: +20
  • More than 80 tools: 0

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

Remote URL
https://latex-tools.online/mcp

Tools

41 tools listed at last check
  • 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 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` m
  • 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 > ...)
  • 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 the e-print source). arXiv only; id like 2401.01234.
  • 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, or texify. Returns {latex, model, elapsed_ms}.
  • 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}.
  • 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, elapsed_ms}.
  • 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, c
  • 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.
  • 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_of_study, year (e.g. '2020-2024'), venue, publication_types, open_access_pdf.
  • 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 for older papers), it automatically retries the 'all-cs' pool.
  • 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).
  • get_dataset_release Semantic Scholar Datasets: which datasets a release contains (papers, abstracts, citations, embeddings, s2orc, tldrs…). release_id defaults to 'latest'.
  • get_dataset_download_links Semantic Scholar Datasets: get download links (presigned URLs) for one dataset in a release. Needs the API key.
  • get_dataset_diffs Semantic Scholar Datasets: incremental diff (added/updated/deleted) for a dataset between two releases. Needs the key.
  • 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.
  • get_openalex_citations OpenAlex: papers that CITE this work (forward citation graph), most-cited first.
  • get_openalex_references OpenAlex: the works this one REFERENCES (its bibliography).
  • search_openalex_authors OpenAlex: search authors; returns profiles with h-index, i10-index, works/citation counts and institutions.
  • search_openalex_institutions OpenAlex: search institutions (universities, labs) with ROR id, country, works/citation counts.
  • 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.
  • 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).
  • list_openalex_topics OpenAlex: search the topic taxonomy (~4500 topics) to find the right subject term for filtering or recent-work queries.

Badge

Connect-MCP badge for io.github.MCPServings/paper-mcp

Markdown for your README
[![Connect-MCP](https://clawy.uk/mcp/badge/io.github.MCPServings/paper-mcp.svg)](https://clawy.uk/mcp/s/io.github.MCPServings/paper-mcp)