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8 clients · secrets stay placeholders

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

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

[mcp_servers.paper-mcp]
url = "https://latex-tools.online/mcp"

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "paper-mcp": {
      "type": "remote",
      "url": "https://latex-tools.online/mcp",
      "enabled": true
    }
  }
}

{
  "mcpServers": {
    "paper-mcp": {
      "type": "http",
      "url": "https://latex-tools.online/mcp"
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=paper-mcp&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vbGF0ZXgtdG9vbHMub25saW5lL21jcCJ9"
}

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

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

extensions:
  "paper-mcp":
    enabled: true
    name: "paper-mcp"
    type: streamable_http
    uri: "https://latex-tools.online/mcp"
    timeout: 300

Quality 71 / 100needs work

protocoln/a · weight 25

n/a
protocol.modern, protocol.stateless, protocol.transport, protocol.list_ttlno remote answered a protocol handshake (not probed yet, unreachable, or local-only)

authorizationn/a · weight 15

n/a
auth.prm, auth.as_metadata, auth.cimdno remote uses OAuth
n/a
auth.secret_in_urlno templated URL

tool hygiene71 · weight 30

pass
tools.descriptionsevery tool has a description
pass
tools.description_lengthdescriptions are concise
pass
tools.schemasevery tool has an object input schema
fail
tools.annotationsno tool declares readOnlyHint or destructiveHint, so clients cannot tell safe calls from risky ones
fail
tools.directory_hintsno 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_costabout 4,223 tokens to load every tool
pass
tools.api_dumptools are not a one-to-one API dump

stabilityn/a · weight 15

n/a
stability.changes, stability.rug_pulltool history not recorded yet

dependenciesn/a · weight 15

n/a
deps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI package

41 tools, about 4,223 tokens to load them all · checked 2026-10-20 10:35 UTC

Tool changes

No tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 90 / 100

provenance90

liveness100

freshness65

hygiene100

+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. How it is computed.

Endpoints

remote	auth	reachable	uptime 30d	p50	protocol	last ok
`https://latex-tools.online/mcp` streamable-http	unknown	yes	99%	198 ms	–	2026-10-20

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).

Schemas: list_tools.

Similar MCP servers

Official server.json

{
  "name": "io.github.MCPServings/paper-mcp",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-09-29/server.schema.json",
  "remotes": [
    {
      "url": "https://latex-tools.online/mcp",
      "type": "streamable-http"
    }
  ],
  "version": "0.5.0",
  "repository": {
    "url": "https://github.com/MCPServings/paper-mcp",
    "source": "github"
  },
  "websiteUrl": "https://latex-tools.online/mcp",
  "description": "Search arXiv/Semantic Scholar/OpenAlex + medical evidence (PubMed/Europe PMC) + LaTeX/PDF tools."
}