Paper Mcp — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Paper Mcp (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
<!-- mcp-name: io.github.MCPServings/paper-mcp -->
Remotely-callable MCP server for academic paper search, full-text retrieval & image→LaTeX, served at https://latex-tools.online/mcp.
Three corpora behind one normalized interface:
s2) — the full S2 API surface: citation graph, authors, recommendations, full-text snippets, bulk datasetsoa) — 316M all-field works: citation graph, authors with h-index, institutions, topics, influence metricsPlus a unified `search_all` that fuses all three corpora, image→LaTeX OCR, and LaTeX lint + PDF→text tooling.
| Tool | Purpose |
|---|---|
| `search_all(query, max_results=10, sources='arxiv,semanticscholar,openalex')` | Unified search. Fans out to all three corpora concurrently, de-duplicates the same work (by DOI/title) and re-ranks with Reciprocal Rank Fusion. Each hit carries sources (who found it) + an ids map for follow-up calls. Prefer this for broad lookups. |
search_papers(query, source='arxiv', max_results=10, sort_by='relevance') | Single-corpus search. arXiv query accepts plain text or field syntax (ti: au: cat:cs.CL abs: + AND/OR). |
get_paper(paper_id, source='arxiv') | One paper's full record. S2 id accepts S2 id / DOI: / ARXIV: / CorpusId:. |
search_by_author(author, source='arxiv') | Papers by author, newest first. |
list_recent(category, source='arxiv') | Latest in a category (arXiv code or S2 field of study). |
list_categories(source='arxiv') | Common category codes. |
| `read_paper(paper_id, format='markdown')` | FULL text (arXiv). markdown = body with formulas as $LaTeX$; html = raw LaTeXML page; latex = original manuscript .tex source. |
list_paper_sources() | Available corpora. |
read_paper fetch chain: arxiv.org/html/{id} → ar5iv fallback (markdown/html), or arxiv.org/e-print/{id} tarball main .tex (latex). Formulas are recovered from the LaTeXML alttext invariant.
| Tool | Purpose |
|---|---|
| `search_medical(query, study_types='rct,meta-analysis,systematic-review', year_from=0, max_results=10, fetch_fulltext=True)` | Clinical literature search. Queries PubMed, filters by research type via Publication-Type tags and re-ranks by the evidence pyramid (meta-analysis / systematic review > RCT > cohort > ...), so real trials surface above high-cited reviews/guidelines that pure-citation ranking floats up. Open-access full text is attached from Europe PMC by PMID. If the type filter yields nothing it auto-relaxes (flagged filter_relaxed). query is English keyword/boolean text — do NL/multilingual query understanding upstream. Backed by NCBI E-utilities + Europe PMC (both free, no key required). |
Turn a formula or table image back into LaTeX (e.g. a figure cropped from a paper) without needing your own vision model. Backed by the co-located recognize service (PaddleOCR-VL / DeepSeek-OCR / texify).
| Tool | Purpose |
|---|---|
recognize_formula(image_url=... or image_base64=..., model='deepseek-ocr') | Formula image → LaTeX. image_url is downloaded server-side (with SSRF guards). Returns {latex, model, elapsed_ms}. |
recognize_table(image_url=... or image_base64=..., model='deepseek-ocr') | Table image → LaTeX tabular. |
list_ocr_models() | Available OCR models (deepseek-ocr, paddleocr-vl, texify). |
Companions to the LaTeX/PDF web tools at latex-tools.online — same backends, exposed over MCP.
| Tool | Purpose |
|---|---|
lint_latex(code) | Check a LaTeX snippet for errors and return an auto-fixed version. Returns {errors, fixed_code, summary_en, summary_zh, elapsed_ms}. |
extract_pdf(pdf_url=... or pdf_base64=..., formula=True, table=True) | PDF → clean Markdown/LaTeX text via MinerU (useful for papers with no open-access full text). pdf_url is downloaded server-side (SSRF-guarded). Content-addressed + cached: a recently-seen or small PDF returns content in one call; a fresh PDF (MinerU is GPU-heavy, minutes) returns status='running' + a task_id. |
extract_pdf_result(task_id) | Fetch an extract_pdf job by task_id. Returns content once status='done'; while 'running', content is null — call again shortly. |
get_openalex_work · get_openalex_citations · get_openalex_references · search_openalex_works (filters: year range, open-access, min-citations, institution)search_openalex_authors · search_openalex_institutionsget_openalex_trends · list_openalex_topicsget_paper_citations · get_paper_references · get_paper_authorsmatch_paper_title · autocomplete_paperssearch_papers_bulk (≤1000, sortable, token paging) · get_papers_batchsearch_authors · get_author · get_author_papers · get_authors_batchsearch_snippets (search inside paper body)recommend_papers_for_paper · recommend_papers_from_exampleslist_dataset_releases · get_dataset_release · get_dataset_download_links · get_dataset_diffspaper_mcp/
server.py FastMCP server (tool registrations + instructions)
models.py normalized Paper model
aggregate.py cross-source fusion (dedup + Reciprocal Rank Fusion)
sources/
base.py source registry (get_source / list_sources)
arxiv.py arXiv Atom API + read_paper (HTML/markdown/latex)
semanticscholar.py Semantic Scholar full API surface
openalex.py OpenAlex REST API (works/authors/institutions/topics)
recognize.py image→LaTeX client over the co-located recognize service
latextools.py lint + PDF-extract clients over the latex-tools services
pyproject.tomlcd paper-mcp
python -m venv .venv && . .venv/bin/activate
pip install -e .
PAPER_MCP_PORT=9400 python -m paper_mcp.server
# MCP endpoint at http://127.0.0.1:9400/mcp (JSON-RPC; a plain GET returns 406)| Var | Default | Notes |
|---|---|---|
PAPER_MCP_HOST | 127.0.0.1 | |
PAPER_MCP_PORT | 9400 | |
PAPER_MCP_PATH | /mcp | |
SEMANTIC_SCHOLAR_API_KEY | — | optional; raises S2 rate limit. Set via /etc/paper-mcp.env in prod. |
paper-mcp.service on the latex-tools server, WorkingDirectory /opt/paper-mcp, port 9400.https://latex-tools.online/mcp → 127.0.0.1:9400/mcp./etc/paper-mcp.env (SEMANTIC_SCHOLAR_API_KEY).../deploy/ in this repo.This repo is the source of truth. The server runs an independent copy under /opt/paper-mcp (not auto-synced):
# edit here → push → deploy
scp -r paper_mcp/* latex-tools:/opt/paper-mcp/paper_mcp/
ssh latex-tools 'systemctl restart paper-mcp'
ssh latex-tools 'curl -s -o /dev/null -w "%{http_code}\n" http://127.0.0.1:9400/mcp' # 406 = healthy (needs JSON-RPC handshake)_USER_AGENT, backoff).read_paper covers ~80%+ of papers via official HTML; older scan-only papers may have no full text.docs repo on 2026-06-07; that copy is gone.MIT © MCPServings. See LICENSE.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.