Paper MCP

Name: Paper MCP
Author: MCPServings

by MCPServingsversion 0.5.0i★ –iRuns in the cloud

Registry nameio.github.MCPServings/paper-mcp

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs in the cloud
Transport: Streamable HTTP
Category: Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on the maker’s server: what you ask it goes through their server.
The registry lists no key to fill in.

You need

Runs in the cloudNothing to install; it connects over the internet

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

Open Settings → Connectors
Press Add custom connector
Paste the address below and press Add
If it asks you to sign in, sign in with the maker

https://latex-tools.online/mcp

Run this in your terminal

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

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

ChatGPT connects only to servers on the internet:

Open ChatGPT on the web → Settings → Connectors (Apps)
Press Create or Add (some plans need Developer mode under Advanced first)
Paste the address below, give it a name and save
If it asks you to sign in, sign in with the maker

https://latex-tools.online/mcp

Menu names can differ slightly by plan and over time.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

We have not read this server’s tool list yet; we check endpoints in rotation.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account MCPServings, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
… Not checked yet
Endpoint responds
Not checked yet; we check endpoints in rotation
… Not checked yet
Sign-in with OAuth
Not checked yet; we check endpoints in rotation
… Not checked yet
No hidden instructions in tool descriptions
Not checked yet; we read the tool list when we check the endpoint

Compared with others in Search & AI memoryi

More stars than 0% of the other 5671 servers in this category
Published to the registry more recently than 18% of the other 5671 servers in this category
Basic checks equal to or better than 100% of the other 5671 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Paper MCP safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.5.0) reached the registry 5 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated yesterday

Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 21 days ago

Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated 2 months ago

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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:

`arxiv` (default) — search, metadata, and full-text (HTML / markdown / LaTeX source)
`semanticscholar` (alias s2) — the full S2 API surface: citation graph, authors, recommendations, full-text snippets, bulk datasets
`openalex` (alias oa) — 316M all-field works: citation graph, authors with h-index, institutions, topics, influence metrics

Plus a unified `search_all` that fuses all three corpora, image→LaTeX OCR, and LaTeX lint + PDF→text tooling.

Tools (41)

Generic / source-agnostic (8)

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.

Medical / evidence-graded (1)

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).

Image → LaTeX (3)

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`).

LaTeX tooling (3)

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.

OpenAlex (8)

Works: get_openalex_work · get_openalex_citations · get_openalex_references · search_openalex_works (filters: year range, open-access, min-citations, institution)
Authors/Institutions: search_openalex_authors · search_openalex_institutions
Analytics: get_openalex_trends · list_openalex_topics

Semantic Scholar (18)

Graph: get_paper_citations · get_paper_references · get_paper_authors
Lookup: match_paper_title · autocomplete_papers
Bulk: search_papers_bulk (≤1000, sortable, token paging) · get_papers_batch
Authors: search_authors · get_author · get_author_papers · get_authors_batch
Full-text: search_snippets (search inside paper body)
Recommend: recommend_papers_for_paper · recommend_papers_from_examples
Datasets: list_dataset_releases · get_dataset_release · get_dataset_download_links · get_dataset_diffs

Layout

paper_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.online services pyproject.toml

Run locally

cd 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)

Env

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.
`MCP_MAX_PER_HOUR`	`300`	Direct-client JSON-RPC POST budget per IP.
`MCP_WORKER_MAX_PER_HOUR`	`300`	Trusted reverse-proxy Worker budget per HMAC-derived connection key. Raw keys are not retained.
`MCP_WORKER_SHARED_MAX_PER_HOUR`	`2400`	Shared ceiling across all trusted Worker connections.
`MCP_RATE_COOLDOWN_SEC`	`300`	Minimum fast-rejection cooldown after a bucket reaches its limit.

Notes

arXiv calls are politely rate-limited + retried (_USER_AGENT, backoff).
read_paper covers ~80%+ of papers via official HTML; older scan-only papers may have no full text.
Moved here from the docs repo on 2026-06-07; that copy is gone.

Paper MCP

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Search & AI memoryi

Common questions

Alternatives

Context7

Codebase Memory

Exa

README from the maker

paper-mcp

Tools (41)

Generic / source-agnostic (8)

Medical / evidence-graded (1)

Image → LaTeX (3)

LaTeX tooling (3)

OpenAlex (8)

Semantic Scholar (18)

Layout

Run locally

MCP endpoint at http://127.0.0.1:9400/mcp (JSON-RPC; a plain GET returns 406)

Env

Notes

License