# io.github.MCPServings/paper-mcp

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

- name: io.github.MCPServings/paper-mcp
- version: 0.5.0
- connection class: unknown (unknown)
- trust: 90/100
- quality: 71/100 (needs work)
- owner: not claimed
- descriptor: https://api.protogrid.dev/v1/servers/io.github.MCPServings%2Fpaper-mcp
- tools: https://api.protogrid.dev/v1/servers/io.github.MCPServings%2Fpaper-mcp/tools

**Not classified yet.** The remote endpoints have not been probed successfully, or the listing has nothing to connect to.

## Connection (mcpServers)

```json
{
  "mcpServers": {
    "paper-mcp": {
      "type": "http",
      "url": "https://latex-tools.online/mcp"
    }
  }
}
```


## Trust

- hygiene: 100
- liveness: 100
- freshness: 65
- provenance: 90
- drivers: +repository +namespace-matches-repo +website +reachable +uptime-99% ~updated-125d-ago
- Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed.

## Quality 71/100 (needs work)

### protocol: n/a (weight 25)

- n/a `protocol.modern`, `protocol.stateless`, `protocol.transport`, `protocol.list_ttl`: no remote answered a protocol handshake (not probed yet, unreachable, or local-only)

### authorization: n/a (weight 15)

- n/a `auth.prm`, `auth.as_metadata`, `auth.cimd`: no remote uses OAuth
- n/a `auth.secret_in_url`: no templated URL

### tool hygiene: 71 (weight 30)

- pass `tools.descriptions`: every tool has a description
- pass `tools.description_length`: descriptions are concise
- pass `tools.schemas`: every tool has an object input schema
- fail `tools.annotations`: no tool declares readOnlyHint or destructiveHint, so clients cannot tell safe calls from risky ones
- fail `tools.directory_hints`: no tool declares all four of readOnlyHint, destructiveHint, idempotentHint and openWorldHint; missing: get_dataset_release (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); search_authors (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); get_author_papers (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); …
- pass `tools.token_cost`: about 4,223 tokens to load every tool
- pass `tools.api_dump`: tools are not a one-to-one API dump

### stability: n/a (weight 15)

- n/a `stability.changes`, `stability.rug_pull`: tool history not recorded yet

### dependencies: n/a (weight 15)

- n/a `deps.known_vulns`, `deps.mcp_sdk_version`, `deps.resolvable`: no npm or PyPI package

- tools: 41, about 4,223 tokens to load them all
- badge: [![protogrid quality](https://protogrid.dev/badge/io.github.MCPServings/paper-mcp.svg)](https://protogrid.dev/servers/io.github.MCPServings/paper-mcp)
- Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed.

### Tool changes

_No tool definition changes recorded._

## Remotes

- https://latex-tools.online/mcp (streamable-http, auth unknown, reachable true, uptime30d 0.99159664)

## Packages

_none_

## Tools (41)

- `autocomplete_papers`: Semantic Scholar: autocomplete paper titles for a partial query (fast type-ahead).
- `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.
- `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_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.
- `get_dataset_diffs`: Semantic Scholar Datasets: incremental diff (added/updated/deleted) for a dataset between two releases. Needs the key.
- `get_dataset_download_links`: Semantic Scholar Datasets: get download links (presigned URLs) for one dataset in a release. Needs the API key.
- `get_dataset_release`: Semantic Scholar Datasets: which datasets a release contains (papers, abstracts, citations, embeddings, s2orc, tldrs…). release_id defaults to 'latest'.
- `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).
- `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).
- `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_paper`: Fetch one paper by id, with full abstract and PDF link.
- `get_paper_authors`: Semantic Scholar: the authors of a paper (with h-index, paper/citation counts).
- `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_papers_batch`: Semantic Scholar: fetch many papers at once by id (S2/DOI:/ARXIV:/CorpusId:), up to ~500 per call.
- `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}.
- `list_categories`: List common subject category codes for filtering/recent.
- `list_dataset_releases`: Semantic Scholar Datasets: list all available release ids (dated snapshots of the full corpus).
- `list_ocr_models`: List the OCR models available for recognize_formula / recognize_table.
- `list_openalex_topics`: OpenAlex: search the topic taxonomy (~4500 topics) to find the right subject term for filtering or recent-work queries.
- `list_paper_sources`: List available paper corpora.
- `list_recent`: List the latest papers in a subject category, newest first.
- `match_paper_title`: Semantic Scholar: find the single paper whose title best matches the given text (exact-match lookup).
- `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.
- `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}.
- `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.
- `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.
- `search_authors`: Semantic Scholar: search for authors by name; returns profiles with h-index and paper/citation counts.
- `search_by_author`: Find papers by a specific author, newest first.
- `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.
- `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.
- `search_papers`: Search academic papers. Returns normalized hits with a short abstract preview; call get_paper for the full record.
- `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.
- `search_snippets`: Semantic Scholar: search INSIDE paper full text and return matching text snippets (not just titles/abstracts).