Search arXiv/Semantic Scholar/OpenAlex + medical evidence (PubMed/Europe PMC) + LaTeX/PDF tools.
| Endpoint | https://latex-tools.online/mcp (streamable-http) |
|---|---|
| Registry version | 0.5.0 |
| Now | 41 tools · grade C (75) · pin ts_b93adcd7789576418ebfd59f87626fff · protocol 2025-06-18 |
| First / last listed | 2026-10-26 00:31 UTC / 2026-10-26 00:31 UTC |
| Grade over time | 2026-10-26: C (75), 41 tools |
Is this your server? Own a server? ToolFit hosted watch re-checks it every 24 h ($0.25 per 30 days) or 6 h ($0.60) and sends you an HMAC-signed webhook when its tools or grade change: POST https://api.youraitools.co/toolfit/v1/watch. To opt out, see About & opt-out.
Tools: search_papers search_all search_medical get_paper search_by_author list_recent list_categories read_paper list_paper_sources recognize_formula recognize_table list_ocr_models lint_latex extract_pdf extract_pdf_result get_paper_citations get_paper_references get_paper_authors match_paper_title autocomplete_papers search_papers_bulk get_papers_batch search_authors get_author get_author_papers get_authors_batch search_snippets recommend_papers_for_paper recommend_papers_from_examples list_dataset_releases get_dataset_release get_dataset_download_links get_dataset_diffs get_openalex_work get_openalex_citations get_openalex_references search_openalex_authors search_openalex_institutions search_openalex_works get_openalex_trends list_openalex_topics
search_papers | Search academic papers. Returns normalized hits with a short abstract preview; call get_paper for the full record. params: query*, source, max_results, start, sort_by |
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 sear params: query*, max_results, sources, per_source |
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 PM params: query*, study_types, year_from, max_results, fetch_fulltext |
get_paper | Fetch one paper by id, with full abstract and PDF link. params: paper_id*, source |
search_by_author | Find papers by a specific author, newest first. params: author*, source, max_results, start |
list_recent | List the latest papers in a subject category, newest first. params: category*, source, max_results, start |
list_categories | List common subject category codes for filtering/recent. params: source |
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. params: paper_id*, format, source |
list_paper_sources | List available paper corpora. params: none |
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}. params: image_url, image_base64, model |
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}. params: image_url, image_base64, model |
list_ocr_models | List the OCR models available for recognize_formula / recognize_table. params: none |
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}. params: code* |
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; params: pdf_url, pdf_base64, formula, table |
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. params: task_id* |
get_paper_citations | Semantic Scholar: papers that CITE this one (forward citation graph). id accepts S2 id / DOI: / ARXIV: / CorpusId:. params: paper_id*, max_results, start |
get_paper_references | Semantic Scholar: papers this one REFERENCES (its bibliography). id accepts S2 id / DOI: / ARXIV: / CorpusId:. params: paper_id*, max_results, start |
get_paper_authors | Semantic Scholar: the authors of a paper (with h-index, paper/citation counts). params: paper_id*, max_results, start |
match_paper_title | Semantic Scholar: find the single paper whose title best matches the given text (exact-match lookup). params: title* |
autocomplete_papers | Semantic Scholar: autocomplete paper titles for a partial query (fast type-ahead). params: query* |
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. params: query*, sort, fields_of_study, year, venue, publication_types, open_access_pdf, token, max_results |
get_papers_batch | Semantic Scholar: fetch many papers at once by id (S2/DOI:/ARXIV:/CorpusId:), up to ~500 per call. params: ids* |
search_authors | Semantic Scholar: search for authors by name; returns profiles with h-index and paper/citation counts. params: query*, max_results, start |
get_author | Semantic Scholar: a single author's profile by id. params: author_id* |
get_author_papers | Semantic Scholar: all papers by a given author id, newest first. params: author_id*, max_results, start |
get_authors_batch | Semantic Scholar: fetch many authors at once by id. params: ids* |
search_snippets | Semantic Scholar: search INSIDE paper full text and return matching text snippets (not just titles/abstracts). params: query*, max_results |
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. params: paper_id*, max_results, pool |
recommend_papers_from_examples | Semantic Scholar: recommend papers from positive (and optional negative) example paper ids. params: positive_ids*, negative_ids, max_results |
list_dataset_releases | Semantic Scholar Datasets: list all available release ids (dated snapshots of the full corpus). params: none |
get_dataset_release | Semantic Scholar Datasets: which datasets a release contains (papers, abstracts, citations, embeddings, s2orc, tldrs…). release_id defaults to 'latest'. params: release_id |
get_dataset_download_links | Semantic Scholar Datasets: get download links (presigned URLs) for one dataset in a release. Needs the API key. params: dataset_name*, release_id |
get_dataset_diffs | Semantic Scholar Datasets: incremental diff (added/updated/deleted) for a dataset between two releases. Needs the key. params: dataset_name*, start_release*, end_release |
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. params: work_id* |
get_openalex_citations | OpenAlex: papers that CITE this work (forward citation graph), most-cited first. params: work_id*, max_results, start |
get_openalex_references | OpenAlex: the works this one REFERENCES (its bibliography). params: work_id*, max_results |
search_openalex_authors | OpenAlex: search authors; returns profiles with h-index, i10-index, works/citation counts and institutions. params: query*, max_results, start |
search_openalex_institutions | OpenAlex: search institutions (universities, labs) with ROR id, country, works/citation counts. params: query*, max_results |
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. params: query, from_year, to_year, is_oa, min_citations, institution_id, sort_by, max_results |
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). params: query*, group_by |
list_openalex_topics | OpenAlex: search the topic taxonomy (~4500 topics) to find the right subject term for filtering or recent-work queries. params: query*, max_results |
Entries describe changes in tool definitions. They are not statements about a server, its quality or its author. The grade measures how the tool definitions fit model providers (token cost, schema compatibility, confusable names) as scored by the ToolFit engine at the time of the listing. JSON: append .json. Opt-out: how or hello@youraitools.co.