프로토타입 · 미리 보기: 공식 레지스트리의 모든 서버를 담고 있으며 30분마다 동기화해요. 리뷰와 계정 기능은 다음 단계에서 열려요.
PopNx MCPAI를 쓰는 사람을 위한 MCP 서버 · 쉬운 말로 설명해요

Scholar MCP

제작자: pvliesdonk버전 3.1.2i★ –i내 컴퓨터에서 실행
레지스트리 이름io.github.pvliesdonk/scholar-mcp

설치

개요

제작자가 쓴 설명(영어 원문)

Scholarly papers, patents, books, standards and PDF conversion

PopNx MCP의 세 기둥

이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.

할 수 있는 일

이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.

  • 연결 방식: 내 컴퓨터에서 실행
  • 전송 방식: stdio, Streamable HTTP
  • 카테고리: 검색 및 AI 기억
  • 입력해야 할 값: SCHOLAR_GITHUB_TOKEN, SCHOLAR_MCP_S2_API_KEY, SCHOLAR_MCP_VLM_API_KEY, SCHOLAR_MCP_EPO_CONSUMER_SECRET, SCHOLAR_MCP_GOOGLE_BOOKS_API_KEY

설치

쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.

설치하기 전에

  • 기본 점검: 1개 중 1개 통과
  • 내 컴퓨터에서 내 사용자 계정의 권한(파일, 네트워크, 앱)으로 실행돼요.
  • 직접 입력할 값: SCHOLAR_MCP_KV_STORE_URL, SCHOLAR_MCP_TOOLS_ALLOW, SCHOLAR_MCP_TOOLS_DENY, SCHOLAR_MCP_SERVER_NAME, SCHOLAR_MCP_INSTANCE_DESCRIPTION, SCHOLAR_MCP_INSTRUCTIONS_EXTRA, SCHOLAR_MCP_INSTRUCTIONS, SCHOLAR_MCP_LOG_LEVEL, SCHOLAR_MCP_LOG_FORMAT, SCHOLAR_GITHUB_TOKEN, SCHOLAR_MCP_READ_ONLY, SCHOLAR_MCP_S2_API_KEY, SCHOLAR_MCP_DOCLING_URL, SCHOLAR_MCP_VLM_API_URL, SCHOLAR_MCP_VLM_API_KEY, SCHOLAR_MCP_VLM_MODEL, SCHOLAR_MCP_CACHE_DIR, SCHOLAR_MCP_CONTACT_EMAIL, SCHOLAR_MCP_EPO_CONSUMER_KEY, SCHOLAR_MCP_EPO_CONSUMER_SECRET, SCHOLAR_MCP_GOOGLE_BOOKS_API_KEY, SCHOLAR_MCP_ACCESS_LINKS, SCHOLAR_MCP_PDF_FETCH_ALLOW_PRIVATE, SCHOLAR_MCP_JOBS_SOFT_DEADLINE_S, SCHOLAR_MCP_JOBS_RESULT_TTL_S, SCHOLAR_MCP_JOBS_MAX_PER_SUBJECT

비밀로 표시된 값은 내 계정의 열쇠예요. 절대 다른 사람과 공유하거나 채팅에 붙여 넣지 마세요.

필요한 것

  • PyPIPython의 uv 설치(uvx 명령어용)

어떤 앱을 쓰세요?

위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.

Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요

{
  "mcpServers": {
    "scholar": {
      "command": "uvx",
      "args": [
        "pvliesdonk-scholar-mcp"
      ],
      "env": {
        "SCHOLAR_MCP_KV_STORE_URL": "your-value",
        "SCHOLAR_MCP_TOOLS_ALLOW": "your-value",
        "SCHOLAR_MCP_TOOLS_DENY": "your-value",
        "SCHOLAR_MCP_SERVER_NAME": "your-value",
        "SCHOLAR_MCP_INSTANCE_DESCRIPTION": "your-value",
        "SCHOLAR_MCP_INSTRUCTIONS_EXTRA": "your-value",
        "SCHOLAR_MCP_INSTRUCTIONS": "your-value",
        "SCHOLAR_MCP_LOG_LEVEL": "your-value",
        "SCHOLAR_MCP_LOG_FORMAT": "your-value",
        "SCHOLAR_GITHUB_TOKEN": "your-value",
        "SCHOLAR_MCP_READ_ONLY": "your-value",
        "SCHOLAR_MCP_S2_API_KEY": "your-value",
        "SCHOLAR_MCP_DOCLING_URL": "your-value",
        "SCHOLAR_MCP_VLM_API_URL": "your-value",
        "SCHOLAR_MCP_VLM_API_KEY": "your-value",
        "SCHOLAR_MCP_VLM_MODEL": "your-value",
        "SCHOLAR_MCP_CACHE_DIR": "your-value",
        "SCHOLAR_MCP_CONTACT_EMAIL": "your-value",
        "SCHOLAR_MCP_EPO_CONSUMER_KEY": "your-value",
        "SCHOLAR_MCP_EPO_CONSUMER_SECRET": "your-value",
        "SCHOLAR_MCP_GOOGLE_BOOKS_API_KEY": "your-value",
        "SCHOLAR_MCP_ACCESS_LINKS": "your-value",
        "SCHOLAR_MCP_PDF_FETCH_ALLOW_PRIVATE": "your-value",
        "SCHOLAR_MCP_JOBS_SOFT_DEADLINE_S": "your-value",
        "SCHOLAR_MCP_JOBS_RESULT_TTL_S": "your-value",
        "SCHOLAR_MCP_JOBS_MAX_PER_SUBJECT": "your-value"
      }
    }
  }
}

터미널에서 이 명령어를 실행하세요

claude mcp add scholar --env SCHOLAR_MCP_KV_STORE_URL=your-value --env SCHOLAR_MCP_TOOLS_ALLOW=your-value --env SCHOLAR_MCP_TOOLS_DENY=your-value --env SCHOLAR_MCP_SERVER_NAME=your-value --env SCHOLAR_MCP_INSTANCE_DESCRIPTION=your-value --env SCHOLAR_MCP_INSTRUCTIONS_EXTRA=your-value --env SCHOLAR_MCP_INSTRUCTIONS=your-value --env SCHOLAR_MCP_LOG_LEVEL=your-value --env SCHOLAR_MCP_LOG_FORMAT=your-value --env SCHOLAR_GITHUB_TOKEN=your-value --env SCHOLAR_MCP_READ_ONLY=your-value --env SCHOLAR_MCP_S2_API_KEY=your-value --env SCHOLAR_MCP_DOCLING_URL=your-value --env SCHOLAR_MCP_VLM_API_URL=your-value --env SCHOLAR_MCP_VLM_API_KEY=your-value --env SCHOLAR_MCP_VLM_MODEL=your-value --env SCHOLAR_MCP_CACHE_DIR=your-value --env SCHOLAR_MCP_CONTACT_EMAIL=your-value --env SCHOLAR_MCP_EPO_CONSUMER_KEY=your-value --env SCHOLAR_MCP_EPO_CONSUMER_SECRET=your-value --env SCHOLAR_MCP_GOOGLE_BOOKS_API_KEY=your-value --env SCHOLAR_MCP_ACCESS_LINKS=your-value --env SCHOLAR_MCP_PDF_FETCH_ALLOW_PRIVATE=your-value --env SCHOLAR_MCP_JOBS_SOFT_DEADLINE_S=your-value --env SCHOLAR_MCP_JOBS_RESULT_TTL_S=your-value --env SCHOLAR_MCP_JOBS_MAX_PER_SUBJECT=your-value -- uvx pvliesdonk-scholar-mcp

실행하기 전에 빈 값을 채워 주세요.

Cursor에서 열기

또는 설정을 직접 복사하기

프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요

{
  "mcpServers": {
    "scholar": {
      "command": "uvx",
      "args": [
        "pvliesdonk-scholar-mcp"
      ],
      "env": {
        "SCHOLAR_MCP_KV_STORE_URL": "your-value",
        "SCHOLAR_MCP_TOOLS_ALLOW": "your-value",
        "SCHOLAR_MCP_TOOLS_DENY": "your-value",
        "SCHOLAR_MCP_SERVER_NAME": "your-value",
        "SCHOLAR_MCP_INSTANCE_DESCRIPTION": "your-value",
        "SCHOLAR_MCP_INSTRUCTIONS_EXTRA": "your-value",
        "SCHOLAR_MCP_INSTRUCTIONS": "your-value",
        "SCHOLAR_MCP_LOG_LEVEL": "your-value",
        "SCHOLAR_MCP_LOG_FORMAT": "your-value",
        "SCHOLAR_GITHUB_TOKEN": "your-value",
        "SCHOLAR_MCP_READ_ONLY": "your-value",
        "SCHOLAR_MCP_S2_API_KEY": "your-value",
        "SCHOLAR_MCP_DOCLING_URL": "your-value",
        "SCHOLAR_MCP_VLM_API_URL": "your-value",
        "SCHOLAR_MCP_VLM_API_KEY": "your-value",
        "SCHOLAR_MCP_VLM_MODEL": "your-value",
        "SCHOLAR_MCP_CACHE_DIR": "your-value",
        "SCHOLAR_MCP_CONTACT_EMAIL": "your-value",
        "SCHOLAR_MCP_EPO_CONSUMER_KEY": "your-value",
        "SCHOLAR_MCP_EPO_CONSUMER_SECRET": "your-value",
        "SCHOLAR_MCP_GOOGLE_BOOKS_API_KEY": "your-value",
        "SCHOLAR_MCP_ACCESS_LINKS": "your-value",
        "SCHOLAR_MCP_PDF_FETCH_ALLOW_PRIVATE": "your-value",
        "SCHOLAR_MCP_JOBS_SOFT_DEADLINE_S": "your-value",
        "SCHOLAR_MCP_JOBS_RESULT_TTL_S": "your-value",
        "SCHOLAR_MCP_JOBS_MAX_PER_SUBJECT": "your-value"
      }
    }
  }
}

브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.

VS Code에서 열기

또는 설정을 직접 복사하기

프로젝트의 .vscode/mcp.json에 붙여 넣으세요

{
  "servers": {
    "scholar": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "pvliesdonk-scholar-mcp"
      ],
      "env": {
        "SCHOLAR_MCP_KV_STORE_URL": "your-value",
        "SCHOLAR_MCP_TOOLS_ALLOW": "your-value",
        "SCHOLAR_MCP_TOOLS_DENY": "your-value",
        "SCHOLAR_MCP_SERVER_NAME": "your-value",
        "SCHOLAR_MCP_INSTANCE_DESCRIPTION": "your-value",
        "SCHOLAR_MCP_INSTRUCTIONS_EXTRA": "your-value",
        "SCHOLAR_MCP_INSTRUCTIONS": "your-value",
        "SCHOLAR_MCP_LOG_LEVEL": "your-value",
        "SCHOLAR_MCP_LOG_FORMAT": "your-value",
        "SCHOLAR_GITHUB_TOKEN": "your-value",
        "SCHOLAR_MCP_READ_ONLY": "your-value",
        "SCHOLAR_MCP_S2_API_KEY": "your-value",
        "SCHOLAR_MCP_DOCLING_URL": "your-value",
        "SCHOLAR_MCP_VLM_API_URL": "your-value",
        "SCHOLAR_MCP_VLM_API_KEY": "your-value",
        "SCHOLAR_MCP_VLM_MODEL": "your-value",
        "SCHOLAR_MCP_CACHE_DIR": "your-value",
        "SCHOLAR_MCP_CONTACT_EMAIL": "your-value",
        "SCHOLAR_MCP_EPO_CONSUMER_KEY": "your-value",
        "SCHOLAR_MCP_EPO_CONSUMER_SECRET": "your-value",
        "SCHOLAR_MCP_GOOGLE_BOOKS_API_KEY": "your-value",
        "SCHOLAR_MCP_ACCESS_LINKS": "your-value",
        "SCHOLAR_MCP_PDF_FETCH_ALLOW_PRIVATE": "your-value",
        "SCHOLAR_MCP_JOBS_SOFT_DEADLINE_S": "your-value",
        "SCHOLAR_MCP_JOBS_RESULT_TTL_S": "your-value",
        "SCHOLAR_MCP_JOBS_MAX_PER_SUBJECT": "your-value"
      }
    }
  }
}

브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.

이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.

선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.

직접 입력할 값

  • SCHOLAR_MCP_KV_STORE_URL env
    Persistent-state backend URL shared by every pvl-core subsystem that needs state. `memory://` is in-process and lost on restart; `file:///path` persists on one server; `redis://`, `dynamodb://` and `…
  • SCHOLAR_MCP_TOOLS_ALLOW env
    Comma-separated explicit tool names this instance exposes; every other tool is hidden from listings and cannot be invoked. Names matching no registered tool are inert. Mutually exclusive with `tools_…
  • SCHOLAR_MCP_TOOLS_DENY env
    Comma-separated explicit tool names hidden from this instance (absent from listings, cannot be invoked). Names matching no registered tool are inert. Mutually exclusive with `tools_allow`. Takes effe…
  • SCHOLAR_MCP_SERVER_NAME env
    Rename this server instance; defaults to the project name.
  • SCHOLAR_MCP_INSTANCE_DESCRIPTION env
    Concise routing context that distinguishes this deployment's material or responsibility.
  • SCHOLAR_MCP_INSTRUCTIONS_EXTRA env
    Deployment-specific behavioral policy added to the generated MCP instructions.
  • SCHOLAR_MCP_INSTRUCTIONS env
    Legacy: replaces all generated MCP instructions (deprecated; use _INSTANCE_DESCRIPTION for routing and _INSTRUCTIONS_EXTRA for policy).
  • SCHOLAR_MCP_LOG_LEVEL env
    Log level for every logger in the process, FastMCP's included (DEBUG / INFO / WARNING / ERROR / CRITICAL). The -v CLI flag overrides to DEBUG. The unprefixed FASTMCP_LOG_LEVEL still works for one maj…
  • SCHOLAR_MCP_LOG_FORMAT env
    Log rendering. rich is one colour event key=value line per record, for a terminal; json is one JSON object per record, for a collector. Unset picks rich when stderr is a terminal and json everywhere…
  • SCHOLAR_GITHUB_TOKEN 비밀 env
    GitHub token used to raise rate limits when fetching standards documents from GitHub. Optional; unauthenticated requests work at reduced limits.
  • SCHOLAR_MCP_READ_ONLY env
    When true, write-tagged tools (PDF download and conversion cache writes) are hidden. Set false to enable them.
  • SCHOLAR_MCP_S2_API_KEY 비밀 env
    Semantic Scholar API key. Optional but strongly recommended: a key has an introductory 1 req/s allowance; anonymous users share capacity and may be throttled. Request one at https://www.semanticschol…
  • SCHOLAR_MCP_DOCLING_URL env
    Base URL of a running docling-serve instance for PDF conversion (e.g. http://localhost:5001). When unset, PDF conversion tools return an error.
  • SCHOLAR_MCP_VLM_API_URL env
    OpenAI-compatible VLM endpoint for formula and figure enrichment during PDF conversion.
  • SCHOLAR_MCP_VLM_API_KEY 비밀 env
    API key for the VLM endpoint.
  • SCHOLAR_MCP_VLM_MODEL env
    Model name to use with the VLM endpoint.
  • SCHOLAR_MCP_CACHE_DIR env
    Directory for the SQLite cache database (cache.db) and downloaded PDFs (pdfs/, md/).
  • SCHOLAR_MCP_CONTACT_EMAIL env
    Contact email for the OpenAlex polite pool (improves rate limits). Also enables Unpaywall lookups as a PDF fallback source.
  • SCHOLAR_MCP_EPO_CONSUMER_KEY env
    EPO Open Patent Services consumer key. Optional; patent tools are hidden when unset. Register at https://developers.epo.org/user/register.
  • SCHOLAR_MCP_EPO_CONSUMER_SECRET 비밀 env
    EPO Open Patent Services consumer secret. Optional; patent tools are hidden when unset.
  • SCHOLAR_MCP_GOOGLE_BOOKS_API_KEY 비밀 env
    Google Books API key. Optional; book tools work unauthenticated at reduced rate limits.
  • SCHOLAR_MCP_ACCESS_LINKS env
    Links to a paper through your library, offered when no PDF can be fetched and with each paper lookup: a JSON list of objects with a label and an http(s) URL template, in priority order. Placeholders:…
  • SCHOLAR_MCP_PDF_FETCH_ALLOW_PRIVATE env
    When false (the default), a PDF download is refused if the host, or a redirect target, resolves to a loopback, private, link-local or other non-public address. This covers URLs the caller supplies an…
  • SCHOLAR_MCP_JOBS_SOFT_DEADLINE_S env
    Seconds a long-running tool call may run in the foreground before it is promoted to a background job and a job handle is returned instead.
  • SCHOLAR_MCP_JOBS_RESULT_TTL_S env
    Seconds a background-job record (working or finished) is retained for polling before it expires from the store.
  • SCHOLAR_MCP_JOBS_MAX_PER_SUBJECT env
    Maximum live background jobs per calling subject; further promotions are rejected until older records expire.

이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.

할 수 있는 일

내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.

기본 점검i

누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 9일 점검

  • ✓ 통과

    제작자와 저장소 일치

    레지스트리 이름이 GitHub 계정 pvliesdonk 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요

  • … 아직 점검 안 함

    계속 관리되고 있음

    아직 GitHub에서 이 저장소를 읽어 오지 않았어요

  • … 아직 점검 안 함

    라이선스 있음

    아직 GitHub에서 이 저장소를 읽어 오지 않았어요

  • – 해당 없음

    엔드포인트 응답

    내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요

  • – 해당 없음

    OAuth로 로그인

    내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요

  • … 아직 점검 안 함

    도구 설명에 숨겨진 지시 없음

    내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요

검색 및 AI 기억 카테고리의 다른 서버와 비교i

  • 이 카테고리의 다른 서버 5754개 중 0%보다 스타가 많아요
  • 이 카테고리의 다른 서버 5754개 중 98%보다 최근에 레지스트리에 공개됐어요
  • 기본 점검 결과가 이 카테고리의 다른 서버 5754개 중 100%와 같거나 더 좋아요

레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.

자주 묻는 질문

Scholar MCP, 안전한가요?

해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.

어떤 키나 코드가 필요한가요?

입력해야 할 값: SCHOLAR_GITHUB_TOKEN, SCHOLAR_MCP_S2_API_KEY, SCHOLAR_MCP_VLM_API_KEY, SCHOLAR_MCP_EPO_CONSUMER_SECRET, SCHOLAR_MCP_GOOGLE_BOOKS_API_KEY

내 컴퓨터에서 실행되나요, 클라우드에서 실행되나요?

내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).

아직 관리되고 있나요?

GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(3.1.2)은 오늘 레지스트리에 올라왔어요.

어떤 앱에서 쓸 수 있나요?

Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Python (uv), Docker도 있어야 해요.

대신 쓸 수 있는 건 뭐가 있나요?

같은 카테고리에는: Context7, Codebase Memory, Exa

대안

같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.

카드 보는 법:↓ 주간 다운로드i★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i

Context7

Up-to-date docs for AI agents

제작자: upstash널리 사용됨↓ 97.3만/주★ 6.4만3일 전 업데이트

컴퓨터 또는 클라우드

Codebase Memory

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

제작자: DeusData널리 사용됨↓ 1.8만/주★ 4.8만23일 전 업데이트

내 컴퓨터에서 실행

Exa

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

제작자: exa-labs널리 사용됨★ 5.2천2개월 전 업데이트

클라우드에서 실행✓ exa.ai

제작자의 README

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Scholar MCP

Scholarly papers, patents, books, standards and PDF conversion

[Documentation](https://pvliesdonk.github.io/scholar-mcp/) | [Config wizard](https://pvliesdonk.github.io/scholar-mcp/latest/reference/configuration-generator/) | [PyPI](https://pypi.org/project/pvliesdonk-scholar-mcp/) | [Docker](https://github.com/pvliesdonk/scholar-mcp/pkgs/container/scholar-mcp)

29 tools, organised by scholarly source type.

Source domains
  • Papers: full-text search with year/venue/field/citation filters; single-paper lookup by DOI, S2 ID, arXiv ID, ACM ID, or PubMed ID; author profile and name search; forward citations, backward references, BFS graph traversal, shortest-path bridge discovery; recommendations from positive/negative examples; BibTeX/CSL-JSON/RIS citation generation with OpenAlex venue enrichment.
  • Patents: search across 100+ patent offices via EPO OPS with CPC/applicant/inventor/jurisdiction filters; bibliographic, claims, description, family, legal, and citations sections; NPL-to-paper resolution via Semantic Scholar and paper-to-patent citation discovery. EPO credentials are optional; other domains work without them.
  • Books: Open Library search by title/author/keywords, no API key required; lookup by ISBN-10/13 or by Open Library work/edition ID; subject-based recommendations sorted by popularity; Google Books excerpts and preview links; WorldCat permalinks for library discovery; cover image caching. Papers with an ISBN in externalIds are automatically enriched with publisher, edition, cover URL, and subject data from Open Library.
  • Standards: identifier resolution, search, and metadata retrieval for NIST, IETF, W3C, and ETSI standards, with optional full-text fetch and Markdown conversion via docling. Tier 2 ISO, IEC, IEEE, Common Criteria (CC), and CEN/CENELEC metadata (including ISO/IEC/IEEE joint standards and the CC ↔ ISO/IEC 15408 cross-link) is synced locally via sync-standards. ISO, IEC, IEEE have a live-fetch fallback for unsynced identifiers; CC and CEN have no live API and require a sync first. Citations matching standards patterns (RFC, ISO, NIST SP, IEEE, EN, CC) are automatically enriched with structured standard_metadata including identifier, title, body, status, and full-text URL when available (see docs/use/standards.md).
Cross-cutting
  • Enrichment pipeline: phased enrichment from multiple sources: OpenAlex (OA status, affiliations, funders, concepts), CrossRef (publisher, page ranges, container titles), Google Books (preview links, excerpts), and Open Library (book metadata). Runs automatically on paper and book results.
  • PDF conversion: download open-access PDFs and convert to Markdown via docling-serve, with optional VLM enrichment for formulas and figures; automatic fallback to ArXiv, PubMed Central, and Unpaywall when Semantic Scholar has no OA link; direct URL download for PDFs found elsewhere; converted text is paged so large documents fit in MCP responses.
  • Intelligent caching: SQLite-backed cache with per-table TTLs (30 days for papers/authors, 7 days for citations/references) and identifier aliasing.
Coverage by domain

Per-domain depth is uneven. Papers currently have the richest tool surface (citation graph, recommendations, cross-referencing to all three other domains); standards are the leanest. That reflects public data availability, not a value hierarchy: writing a paper typically needs all four source types for citations and prior art. Parity work is tracked in GitHub issues and milestones; the roadmap shows intent, not a completeness commitment.

Does it fit?

What the server can reach, what it changes and who gets in is set out in the security model; the block below says who it serves and where it stops.

With this server mounted in an MCP client (Claude, etc.), you can:

  • Survey a field: "Find the 20 most-cited papers on graph neural networks from 2020 to 2024 and draft a literature review outline." Composes search_papers + get_citations + enrich_paper.
  • Trace a citation path: "What's the shortest citation path from 'Attention is All You Need' to 'RLHF for dialogue agents'?" Uses find_bridge_papers + get_citation_graph.
  • Cross-reference prior art: "For this patent family, list academic papers it cites and any books or standards that show up in the description." Composes get_patent + batch_resolve + standards/book enrichment.
  • Generate a bibliography: "Emit BibTeX for these 30 DOIs with OpenAlex venue data." Uses generate_citations.
  • Look up a standard: "What's the latest status of RFC 9000, and fetch the Markdown full text." Uses resolve_standard_identifier + get_standard.

It reaches public scholarly metadata and open-access full text; it doesn't get past paywalls, and paywalled standards (ISO, IEC, IEEE) come back as metadata only. Patent tools need your own EPO OPS credentials.

Quick start

Pick the client you use. Each line installs the released version; the Get started tutorials carry on from there.

Claude Desktop. Download the .mcpb bundle from the releases page and open it with Claude Desktop (or Settings › Extensions › Advanced settings › Install Extension…). Claude Desktop asks for the required settings itself. Tutorial.

Claude Code. Two commands inside Claude Code; the second asks for a scope. Tutorial.

/plugin marketplace add pvliesdonk/claude-plugins

/plugin install scholar-mcp@pvliesdonk

A client that runs a command (stdio). To register it in Claude Code, see the Claude Code tutorial.

uv tool install "pvliesdonk-scholar-mcp"

scholar-mcp serve

A server for remote clients (streamable HTTP). A remote server connects the clients.

docker run --rm -p 8000:8000 --env-file .env ghcr.io/pvliesdonk/scholar-mcp:latest

A compose.yml ships at the repository root and runs as-is: copy .env.example to .env, then docker compose up -d. Deploy covers authentication, OIDC, a reverse proxy and system packages (.deb/.rpm on the releases page). The server answers /health and /health/ready outside the MCP mount, and its get_server_info tool reports the running version.

  • `[all]`: every production feature in one extra; the Linux packages and the Claude Desktop bundle install it.
  • `[debug]`: adds the remote debugger (debugpy); see Remote debugging.

The base package already carries FastMCP through fastmcp-pvl-core, so pip install pvliesdonk-scholar-mcp is enough to run scholar-mcp serve. The older [mcp] extra is kept so existing install commands keep working; it adds nothing beyond the base package.

Configuration

Everything is configured through environment variables with the SCHOLAR_MCP_ prefix. The ones most installs set:

VariableDefaultRequiredDescription
SCHOLAR_MCP_READ_ONLYtrueNoWhen true, write-tagged tools (PDF download and conversion cache writes) are hidden. Set false to enable them.
SCHOLAR_MCP_S2_API_KEY(none)NoSemantic Scholar API key. Optional but strongly recommended: a key has an introductory 1 req/s allowance; anonymous users share capacity and may be throttled. Request one at https://www.semanticscholar.org/product/api#api-key-form.
SCHOLAR_MCP_DOCLING_URL(none)NoBase URL of a running docling-serve instance for PDF conversion (such as http://localhost:5001). When unset, PDF conversion tools return an error.
SCHOLAR_MCP_CACHE_DIR/data/scholar-mcpNoDirectory for the SQLite cache database (cache.db) and downloaded PDFs (pdfs/, md/).
SCHOLAR_MCP_CONTACT_EMAIL(none)NoContact email for the OpenAlex polite pool (improves rate limits). Also enables Unpaywall lookups as a PDF fallback source.

Every variable the server reads, the shared ones included, is in the configuration reference; .env.example lists the same surface in copy-paste form, and the config wizard writes one for your deployment.

Documentation

  • Security model: what the server can reach, what it changes and who gets in.
  • Get started: a first success with your client.
  • Deploy: Docker, authentication, OIDC, reverse proxy.
  • Use: the features, for real tasks.
  • Reference: configuration, tools, resources, prompts, command line.
  • Upgrade: release channels, and what an upgrade changes for your clients and your data.
  • Contribute: local development, secrets, where a fix belongs; CONTRIBUTING.md and SECURITY.md at the root.

Design decisions

  • Domain logic apart from the MCP layer. The upstream clients (Semantic Scholar, OpenAlex, EPO, Open Libr

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