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scholar-mcp

by pvliesdonk

scholar-mcp

CI codecov PyPI Python License Docker Docs llms.txt Template

A FastMCP server for the scholarly citation landscape — papers, patents, books, and standards — giving LLMs a unified way to search, cross-reference, and retrieve prior art across all four source types via Semantic Scholar, EPO Open Patent Services, Open Library, and standards bodies (NIST, IETF, W3C, ETSI), with OpenAlex enrichment and optional docling-serve PDF/full-text conversion.

Documentation | Config wizard | PyPI | Docker

Features

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 — search by title/author/keywords via Open Library (no API key required); lookup by ISBN-10/13, Open Library work ID, or 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/guides/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.

  • Intelligent caching — SQLite-backed cache with per-table TTLs (30 days for papers/authors, 7 days for citations/references) and identifier aliasing.

  • Authentication — bearer token, OIDC (OAuth 2.1), or both simultaneously (multi-auth).

  • Multi-transport — stdio (Claude Desktop), HTTP (streamable-http), and SSE transports.

  • Linux packages.deb and .rpm packages with systemd service and security hardening.

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.

Related MCP server: Academic Paper MCP HTTP/SSE Server

What you can do with it

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 2020–2024 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.

Installation

From PyPI

pip install pvliesdonk-scholar-mcp

If you add optional extras via the PROJECT-EXTRAS-START / PROJECT-EXTRAS-END sentinels in pyproject.toml, document them below:

Scholar-mcp ships two optional-dependency groups:

  • [mcp] — installs FastMCP; required to run scholar-mcp serve and expose tools over stdio/HTTP.

  • [all] — currently identical to [mcp]; reserved for future optional backends.

For MCP-server usage:

pip install 'pvliesdonk-scholar-mcp[mcp]'
# or, without installing into the environment:
uvx --from pvliesdonk-scholar-mcp scholar-mcp serve

Installing the bare pvliesdonk-scholar-mcp package is enough for library use (from scholar_mcp import ...) but the scholar-mcp serve CLI requires [mcp].

From source

git clone https://github.com/pvliesdonk/scholar-mcp.git
cd scholar-mcp
uv sync --all-extras --all-groups

Docker

docker pull ghcr.io/pvliesdonk/scholar-mcp:latest

A compose.yml ships at the repo root as a starting point. Copy .env.example to .env, edit, and docker compose up -d.

To attach a remote Python debugger (development only; the protocol is unauthenticated), see Remote debugging.

Linux packages (.deb / .rpm)

Download .deb or .rpm packages from the GitHub Releases page. Both install a hardened systemd unit; env configuration is sourced from /etc/scholar-mcp/env (copy from the shipped /etc/scholar-mcp/env.example).

Claude Desktop (.mcpb bundle)

Download the .mcpb bundle from the GitHub Releases page and double-click to install, or run:

mcpb install scholar-mcp-<version>.mcpb

Claude Desktop prompts for required env vars via a GUI wizard, with no manual JSON editing needed.

For manual Claude Desktop configuration and setup options, see Claude Desktop deployment.

Quick start

scholar-mcp serve                                # stdio transport
scholar-mcp serve --transport http --port 8000   # streamable HTTP

For library usage (embedding the domain logic without the MCP transport), import from the scholar_mcp package directly — backend clients live under src/scholar_mcp/_s2_client.py, _epo_client.py, _openlibrary_client.py, and _standards_client.py.

Server info

The server registers a built-in get_server_info tool (via fastmcp_pvl_core.register_server_info_tool) so operators can confirm the deployed version with a single MCP call. The default response carries server_name, server_version, and core_version. Servers that talk to a remote upstream wire upstream version reporting inside the DOMAIN-UPSTREAM-START / DOMAIN-UPSTREAM-END sentinel in src/scholar_mcp/server.py; see CLAUDE.md for the wiring pattern.

Configuration

Core environment variables shared across all fastmcp-pvl-core-based services:

Variable

Default

Description

SCHOLAR_MCP_KV_STORE_URL

file:///data/state

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 mongodb:// each need their matching extra. Defaults to file:///data/state when unset.

FASTMCP_LOG_LEVEL

INFO

Log level for FastMCP internals and app loggers (DEBUG / INFO / WARNING / ERROR / CRITICAL). The -v CLI flag overrides to DEBUG.

FASTMCP_ENABLE_RICH_LOGGING

true

Set false for plain or structured JSON log output.

Domain-specific variables go below under Domain configuration.

Authorization (opt-in)

This server inherits opt-in per-subject authorization from fastmcp-pvl-core. The default posture is off — every authenticated caller can use every tool, resource, and prompt. Turn it on by pointing SCHOLAR_MCP_ACL_PATH at a TOML ACL file; the middleware is installed only when the path is set, and individual tools opt in by declaring meta={"required_scope": "<scope>"} at registration. A tool without required_scope is unrestricted regardless of caller.

Wire it in by uncommenting the acl_path field in src/scholar_mcp/config.py and the AuthorizationMiddleware stanza in src/scholar_mcp/server.py — both ship as commented stubs in the scaffold.

ACL TOML schema

[subjects]
"user:alice@example.com" = ["read", "write"]
"user:admin@example.com" = ["*"]              # wildcard — any required scope passes
"service:ci-bot"         = ["read"]
"local"                  = ["*"]              # auth-disabled subject (no bearer / OIDC vars set)
  • Subject strings are opaque. The <kind>:<id> convention is documentation only; the library treats each subject as a literal string.

  • * is the only library-treated special scope — it grants every required scope. Subject-side wildcards (* as an ACL key) are rejected at load time.

  • Scope vocabulary is domain-defined. Per-project or per-folder gating is encoded into the scope string itself (e.g. read:project-foo, write:vault/personal); fastmcp-pvl-core treats every scope except * as opaque.

Subject ↔ bearer-token alignment

The subject string used as a value in the bearer-tokens TOML (SCHOLAR_MCP_BEARER_TOKENS_FILE) is the same string used as a key in the ACL TOML. Same string, opposite roles — keep the two files consistent when adding or removing a principal. See Mapped bearer tokens in the authentication guide for the bearer-tokens TOML schema.

In single-token mode (SCHOLAR_MCP_BEARER_TOKEN) every authenticated caller shares one subject — the library's default (currently "bearer-anon"), override with SCHOLAR_MCP_BEARER_DEFAULT_SUBJECT; reference that string as the ACL key. When no auth is configured (no SCHOLAR_MCP_BEARER_TOKEN, SCHOLAR_MCP_BEARER_TOKENS_FILE, or OIDC env vars set — common in stdio dev rigs but also possible on HTTP), every request resolves to the literal subject "local" — reference that string as the ACL key for un-authenticated local sessions.

Authentication

Callers authenticate via a bearer token or OIDC (mutually exclusive). See the Authentication guide for setup, mapped multi-subject tokens, OIDC, and troubleshooting.

Post-scaffold checklist

After copier copy and gh repo create --push:

  1. Fill in the DOMAIN blocks (every section marked with a DOMAIN sentinel comment) in this README and in CLAUDE.md. The GENERATED-ENV-TABLE-* regions are not DOMAIN blocks; the config generator owns them and rewrites them on every run.

  2. Configure GitHub secrets (see below).

  3. Install dev + docs tooling: uv sync --all-extras --all-groups.

  4. Install pre-commit hooks: uv run pre-commit install.

  5. Run the gate locally: uv run pytest -x -q && uv run ruff check --fix . && uv run ruff format . && uv run mypy src/ tests/.

  6. Push the first commit. CI should be green.

GitHub secrets

CI workflows reference three repository secrets. Configure them via Settings → Secrets and variables → Actions or with gh secret set:

Secret

Used by

How to generate

RELEASE_TOKEN

release.yml, copier-update.yml, renovate.yml, bootstrap.yml

Fine-grained PAT at https://github.com/settings/personal-access-tokens/new with contents: write, pull_requests: write, and administration: write (bootstrap sets branch protection + auto-merge). Scoped to this repo.

CODECOV_TOKEN

ci.yml

https://codecov.io: sign in with GitHub and add the repo. The upload token is on its settings page.

CLAUDE_CODE_OAUTH_TOKEN

claude.yml, claude-code-review.yml

Run claude setup-token locally and paste the result.

gh secret set RELEASE_TOKEN
gh secret set CODECOV_TOKEN
gh secret set CLAUDE_CODE_OAUTH_TOKEN

Dependency updates are handled by Renovate (renovate.yml), which reuses RELEASE_TOKEN. It maintains uv.lock and auto-merges patch/minor bumps once the CI Success check is green; bootstrap.yml enables auto-merge and branch protection on first push. GitHub Actions are updated in the copier template and arrive via copier update, not per-repo.

GITHUB_TOKEN is auto-provided; no action needed.

Local development

The PR gate (matches CI):

uv run pytest -x -q                                  # tests
uv run ruff check --fix . && uv run ruff format .    # lint + format
uv run mypy src/ tests/                              # type-check

Pre-commit runs a subset of the gate on each commit; see .pre-commit-config.yaml for details, or CLAUDE.md for the full Hard PR Acceptance Gates.

Troubleshooting

Moving a scaffolded project

uv sync creates .venv/bin/* scripts with absolute shebangs pointing at the venv Python. If you move the repo after scaffolding (mv /old/path /new/path), uv run pytest fails with ModuleNotFoundError: No module named 'fastmcp' because the stale shebang resolves to a different interpreter than the venv's site-packages.

Fix:

rm -rf .venv
uv sync --all-extras --all-groups

uv run python -m pytest also works as a one-shot workaround (bypasses the stale entry-script shim).

uv.lock refresh after copier update

When copier update introduces new dependencies (such as a new extra added to pyproject.toml.jinja), CI runs uv sync --frozen which fails against a stale lockfile. Run uv lock locally and commit the refreshed uv.lock alongside accepting the copier-update PR.

License

MIT — see LICENSE.

Domain configuration

Domain environment variables use the SCHOLAR_MCP_ prefix:

Variable

Default

Required

Description

SCHOLAR_GITHUB_TOKEN

(none)

No

GitHub token used to raise rate limits when fetching standards documents from GitHub. Optional; unauthenticated requests work at reduced limits.

SCHOLAR_MCP_READ_ONLY

true

No

When true, write-tagged tools (PDF download and conversion cache writes) are hidden. Set false to enable them.

SCHOLAR_MCP_S2_API_KEY

(none)

No

Semantic Scholar API key. Optional but strongly recommended: unauthenticated requests are limited to ~1 req/s.

SCHOLAR_MCP_DOCLING_URL

(none)

No

Base 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_VLM_API_URL

(none)

No

OpenAI-compatible VLM endpoint for formula and figure enrichment during PDF conversion.

SCHOLAR_MCP_VLM_API_KEY

(none)

No

API key for the VLM endpoint.

SCHOLAR_MCP_VLM_MODEL

gpt-4o

No

Model name to use with the VLM endpoint.

SCHOLAR_MCP_CACHE_DIR

/data/scholar-mcp

No

Directory for the SQLite cache database (cache.db) and downloaded PDFs (pdfs/, md/).

SCHOLAR_MCP_CONTACT_EMAIL

(none)

No

Contact email for the OpenAlex polite pool (improves rate limits). Also enables Unpaywall lookups as a PDF fallback source.

SCHOLAR_MCP_EPO_CONSUMER_KEY

(none)

No

EPO Open Patent Services consumer key. Optional; patent tools are hidden when unset.

SCHOLAR_MCP_EPO_CONSUMER_SECRET

(none)

No

EPO Open Patent Services consumer secret. Optional; patent tools are hidden when unset.

SCHOLAR_MCP_GOOGLE_BOOKS_API_KEY

(none)

No

Google Books API key. Optional; book tools work unauthenticated at reduced rate limits.

Domain-config fields are composed inside src/scholar_mcp/config.py between the CONFIG-FIELDS-START / CONFIG-FIELDS-END sentinels; env reads go through fastmcp_pvl_core.env(_ENV_PREFIX, "SUFFIX", default) so naming stays consistent, and field invariants go in __post_init__ between the CONFIG-VALIDATE-START / CONFIG-VALIDATE-END sentinels. Each field's metadata help and tags generate the table above directly, so keep them accurate and complete.

Scholar-mcp pings Semantic Scholar once on startup and every 7 days thereafter to keep the configured key from being removed for inactivity (Semantic Scholar may remove keys unused for 60+ days). If S2 starts rejecting the key with 403 Forbidden, this shows up in the server logs as s2_key_forbidden (on real tool calls) or s2_keepalive_key_forbidden (from the background keepalive) — grep for either to confirm a dead key versus a transient upstream issue.

Key design decisions

  • Library-first, MCP-optional. The core domain logic (S2/EPO/Open Library/standards clients, enrichment pipeline, cache) is importable without FastMCP; the MCP server is a thin async wrapper. Enables reuse in scripts, notebooks, and other servers.

  • Sync domain code, async MCP layer. Backend clients are synchronous; MCP tools call them via asyncio.to_thread(). Simpler client code, explicit offloading at the transport boundary.

  • SQLite cache with per-table TTLs and identifier aliases. Papers / authors last 30 days, citations / references 7 days. DOI ↔ S2 ID ↔ arXiv ID aliasing survives across cache clears so repeated enrichment hits the same row.

  • Read-only by default. Write-tagged tools (PDF download/convert, patent PDF) are hidden unless SCHOLAR_MCP_READ_ONLY=false. Safer default for first-run.

  • Rate-limited try-once with background queueing. S2/OpenAlex calls try once; on 429 they queue a retry-enabled background task and return {"queued": true, "task_id": ...}. PDF tools always queue unless the cache already has the conversion.

  • Tier 2 standards sync out-of-band. ISO/IEC/IEEE/CC/CEN catalogues come from community Relaton dumps via scholar-mcp sync-standards, not live at runtime — avoids paywalled-HTML scraping and keeps tool calls fast.

Quick Start details

stdio transport (Claude Desktop / MCP clients)

uvx --from pvliesdonk-scholar-mcp scholar-mcp serve

API key optional but recommended: The server works without a Semantic Scholar API key, but unauthenticated requests are limited to ~1 req/s and will hit 429 throttles quickly during multi-step operations like citation graph traversal. Request a free key to get ~10 req/s.

Claude Desktop configuration (claude_desktop_config.json):

{
  "mcpServers": {
    "scholar": {
      "command": "uvx",
      "args": ["--from", "pvliesdonk-scholar-mcp", "scholar-mcp", "serve"],
      "env": {
        "SCHOLAR_MCP_S2_API_KEY": "your-key"
      }
    }
  }
}

HTTP transport

uvx --from pvliesdonk-scholar-mcp scholar-mcp serve --transport http --port 8000

Claude Code plugin

/plugin marketplace add pvliesdonk/claude-plugins
/plugin install scholar-mcp@pvliesdonk

Syncing Tier 2 standards catalogues

Tier 2 bodies (ISO, IEC, IEEE, CC, CEN) are populated from community-curated bulk dumps rather than live-scraped at MCP-server runtime. Run the sync on first install and periodically thereafter:

scholar-mcp sync-standards            # all registered bodies
scholar-mcp sync-standards --body ISO # only ISO
scholar-mcp sync-standards --body IEEE # only IEEE
scholar-mcp sync-standards --body CC   # only Common Criteria
scholar-mcp sync-standards --body CEN # only CEN/CENELEC
scholar-mcp sync-standards --force    # re-sync even if upstream SHA is unchanged

Schedule via cron / launchd / systemd timer — weekly is sufficient; standards change slowly. First sync can take several minutes; subsequent runs that find no upstream changes exit within seconds.

MCP Tools

28 tools, organised by scholarly source type.

Papers

Search & retrieval

Tool

Description

search_papers

Full-text search with year, venue, field-of-study, and citation-count filters. Returns up to 100 results with pagination.

get_paper

Fetch full metadata for a single paper by DOI, S2 ID, arXiv ID, ACM ID, or PubMed ID.

get_author

Fetch author profile with publications, or search by name.

Citation graph

Tool

Description

get_citations

Forward citations (papers that cite a given paper) with optional filters.

get_references

Backward references (papers cited by a given paper).

get_citation_graph

BFS traversal from seed papers, returning nodes + edges up to configurable depth.

find_bridge_papers

Shortest citation path between two papers.

Recommendations & citation generation

Tool

Description

recommend_papers

Paper recommendations from 1–5 positive examples and optional negative examples.

generate_citations

Generate BibTeX, CSL-JSON, or RIS citations for up to 100 papers, with automatic entry type inference and optional OpenAlex venue enrichment.

enrich_paper

Augment Semantic Scholar metadata with OpenAlex fields (affiliations, funders, OA status, concepts).

Patents

Tool

Description

search_patents

Search patents across 100+ patent offices via EPO OPS with CPC / applicant / inventor / jurisdiction / date filters.

get_patent

Fetch bibliographic / claims / description / family / legal / citations sections for a single patent by publication number. Citations include NPL-to-paper resolution via Semantic Scholar.

get_citing_patents

Find patents that cite a given academic paper (best-effort; EPO OPS citation search coverage is incomplete).

fetch_patent_pdf

Download a patent PDF via authenticated EPO OPS and optionally convert to Markdown.

Patent tools are hidden when SCHOLAR_MCP_EPO_CONSUMER_KEY and SCHOLAR_MCP_EPO_CONSUMER_SECRET are not set. fetch_patent_pdf is also write-tagged and hidden when SCHOLAR_MCP_READ_ONLY=true.

Books

Tool

Description

search_books

Search for books by title, author, ISBN, or keywords via Open Library. Returns up to 50 results.

get_book

Fetch book metadata by ISBN-10, ISBN-13, Open Library work ID, or edition ID. Optionally download and cache the cover image locally.

get_book_excerpt

Fetch a book excerpt and description from Google Books by ISBN. Shows preview availability and link.

recommend_books

Recommend books for a subject via Open Library, sorted by popularity.

Papers with an ISBN in their externalIds are automatically enriched with book_metadata (publisher, edition, cover URL, subjects, and more) from Open Library when fetched via get_paper, get_citations, get_references, or get_citation_graph. Book records also include worldcat_url (when ISBN-13 is present), google_books_url, and snippet from Google Books enrichment. Cover images can be downloaded and cached locally via get_book.

Standards

Tool

Description

resolve_standard_identifier

Normalise a messy citation string (e.g. "rfc9000", "nist 800-53") to canonical form and body.

search_standards

Search standards by identifier, title, or free text, optionally filtered to one body (NIST, IETF, W3C, ETSI).

get_standard

Retrieve a standard by canonical or fuzzy identifier, optionally fetching and converting the full text via docling.

Tier-1 bodies (NIST, IETF, W3C, ETSI) are supported with full metadata and optional full-text conversion. Tier-2 bodies (ISO, IEC, IEEE, CC, CEN/CENELEC) are populated locally via scholar-mcp sync-standards.

Cross-source Utility

Tool

Description

batch_resolve

Resolve up to 100 mixed identifiers (paper DOIs, patent numbers, ISBNs) to full metadata in one call, routing each to the right backend with OpenAlex fallback.

PDF Conversion (requires docling-serve)

Tool

Description

fetch_paper_pdf

Download PDF for a paper (S2 open-access, then ArXiv/PMC/Unpaywall fallback).

convert_pdf_to_markdown

Convert a local PDF to Markdown via docling-serve.

fetch_and_convert

Full pipeline: fetch PDF (with fallback), convert to Markdown, return both.

fetch_pdf_by_url

Download a PDF from any URL and optionally convert to Markdown.

PDF tools are write-tagged and hidden when SCHOLAR_MCP_READ_ONLY=true (the default). fetch_patent_pdf (above) and the get_standard full-text mode cover the patent and standards equivalents.

Task Polling

Tool

Description

get_task_result

Poll for the result of a background task by ID.

list_tasks

List all active background tasks.

Long-running operations (PDF download/conversion) and rate-limited backend requests return {"queued": true, "task_id": "..."} immediately. Use get_task_result to poll for the result.

Docker Compose

services:
  scholar-mcp:
    image: ghcr.io/pvliesdonk/scholar-mcp:latest
    restart: unless-stopped
    environment:
      SCHOLAR_MCP_S2_API_KEY: "${SCHOLAR_MCP_S2_API_KEY}"
      SCHOLAR_MCP_DOCLING_URL: "http://docling-serve:5001"
      SCHOLAR_MCP_VLM_API_URL: "${VLM_API_URL:-}"
      SCHOLAR_MCP_VLM_API_KEY: "${VLM_API_KEY:-}"
      SCHOLAR_MCP_CACHE_DIR: "/data/scholar-mcp"
      SCHOLAR_MCP_READ_ONLY: "false"
    volumes:
      - scholar-mcp-data:/data/scholar-mcp
    labels:
      - "traefik.enable=true"
      - "traefik.http.routers.scholar-mcp.rule=Host(`scholar-mcp.yourdomain.com`)"

  docling-serve:
    image: ghcr.io/ds4sd/docling-serve:latest
    restart: unless-stopped

volumes:
  scholar-mcp-data:

Cache Management

# Show cache statistics (row counts, database size)
scholar-mcp cache stats

# Clear all cached data (preserves identifier aliases)
scholar-mcp cache clear

# Remove entries older than 30 days
scholar-mcp cache clear --older-than 30

# Override cache directory
scholar-mcp cache stats --cache-dir /path/to/cache
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