io.github.YGao2005/scholar-feed-mcp

up checked 2026-11-11T03:37:25.054Z

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Publisher-provided title

Scholar Feed

Publisher-provided description

Rank CS/AI/ML papers by citations, forecast impact, or code adoption; trace 23.2M citation edges.

Summary by lookupd

Lets agents search and rank CS/AI/ML papers, trace citation graphs, manage saved libraries and collections, and set watches for new papers.

Install

Claude Code, remote (streamable-http)

claude mcp add --transport http scholar-feed 'https://mcp.scholarfeed.org/mcp?src=mcp-registry'

Claude Code, npm package (stdio)

claude mcp add scholar-feed -- npx -y scholar-feed-mcp

Codex, remote (streamable-http)

codex mcp add scholar-feed --url 'https://mcp.scholarfeed.org/mcp?src=mcp-registry'

Codex, npm package (stdio)

codex mcp add scholar-feed -- npx -y scholar-feed-mcp

Cursor, remote (streamable-http) → .cursor/mcp.json

{
  "mcpServers": {
    "scholar-feed": {
      "url": "https://mcp.scholarfeed.org/mcp?src=mcp-registry"
    }
  }
}

Cursor, npm package (stdio) → .cursor/mcp.json

{
  "mcpServers": {
    "scholar-feed": {
      "command": "npx",
      "args": [
        "-y",
        "scholar-feed-mcp"
      ]
    }
  }
}

Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.

Tools (27 tools)

Publisher-provided text

search_papers Search Scholar Feed's 600k+ CS/AI/ML paper corpus. Semantic (embedding) search by default, so it finds conceptually related work even when the wording differs.
get_paper Get full details for one or more papers by arXiv ID. Pass a single-element array for one paper; pass multiple IDs to batch-fetch up to 50 papers in one call. Pa
get_citations Get the citation graph for a paper, sorted by citing-paper rank_score (highest-impact first). 'citing' = outgoing references this paper cites; 'cited_by' = inco
fetch_fulltext Read arXiv papers' actual text, by section. Section selection controls context cost: ask for the one or two you need, not whole papers — 'all' is ~13.5KB a pape
find_author Two-mode author tool. Provide exactly one of q or id. Q-MODE (q=...): search for researchers by topic or name — uses embedding similarity for topics ('efficient
co_author_graph Find the co-authorship neighborhood of one or more authors. Given a list of author_ids, returns edges {from, to, papers_count, last_collab_year} where 'from' is
embed_text Embed a text string into a 768-dim Gemini Flash vector. Use for HyDE-style retrieval: (1) write a hypothetical short paper that would perfectly answer the user'
get_field_orientation Returns CANDIDATE FOUNDATIONAL PAPERS for a research topic — cheap retrieval only, no synthesis. Ranks papers by a blend of citation count (0.6 weight, captures
get_foundational_lineage Returns the FOUNDATIONAL WORK FOR A PAPER'S NICHE via the citation graph — the relative question ('what is foundational for THIS paper's specific sub-field', of
save_paper Save a paper to the authenticated user's Scholar Feed library (bookmark). MUTATES the library and feeds the user's personalization — saved papers are the strong
unsave_paper Remove a paper from the authenticated user's Scholar Feed library. MUTATES the library. Idempotent: removing a paper that isn't saved leaves it unsaved. Note: t
like_paper Like a paper — a 'more like this' calibration signal that tunes the user's For You feed toward similar work. INSERT-only and idempotent (liking twice is a no-op
list_library List the authenticated user's saved papers (their library), newest first. Read-only. Use this to review a reading list or to see what's already saved before sav
list_collections List the authenticated user's collections (named groups of saved papers) with paper counts. Read-only. Use before add_to_collection to see existing collections.
create_collection Create a new named collection. MUTATES. If a collection with that name already exists, returns the existing one (get-or-create — never errors on duplicate). Use
add_to_collection Add a paper to a collection, addressed by collection_id OR collection_name (get-or-create by name — no need to look up an id first). Nest with "/": collection_n
remove_from_collection Remove a paper from a collection, addressed by collection_id OR collection_name. MUTATES (the paper stays in your library; it's only removed from this collectio
create_watch Create a standing watch — evaluated daily against newly-indexed papers, surfacing new matches via the email digest and via check_watches. MUTATES. Get-or-create
list_watches List the authenticated user's watches with name, a one-line definition summary, last_evaluated_at, and pending_hits (count of new matches since the last digest
check_watches Pull new matching papers since the last digest delivery, in the same shape as search_papers results. Optionally scope to one watch by watch_name OR watch_id; om
delete_watch Delete a watch, addressed by watch_id OR name. MUTATES. Idempotent: deleting a non-existent watch is a no-op (no error). To change a watch in place (rename / no
update_watch Update an existing watch in place — rename, change novelty_min, or RETARGET its structured filter `criteria`. MUTATES. Address by watch_id OR name. Changing cri
preview_watch Dry-run a structured filter over recent papers WITHOUT creating a watch — the tuning loop. Returns {window_days, needs_similarity, match_count, sample} so you c
find_gaps Find important work you HAVEN'T saved, for a collection or topic — a 'what am I missing?' analysis. Returns two buckets: foundational_gaps (canonical citation-g
ask_library Answer a question using ONLY the papers you've saved — a synthesis over your library (or one collection) with inline [arXiv-ID] citations. The inverse of find_g
annotate_paper Record YOUR verdict on a paper — why it matters for your work, when to use it, or why you ruled it out. One note per paper, upserted (writing again replaces it)
check_drift Answers 'for my problem, is the method I use superseded — and by what?' over a grounded, entity-resolved knowledge base of textual critique receipts + benchmark

Details

Version: 3.20.0
Transports: streamable-http, stdio
Uptime (7 days): 100%
Median latency: 860 ms
First indexed: 2026-11-01T09:18:20.996Z
Last seen in registry: 2026-11-01T09:18:22.459Z
Repository: https://github.com/YGao2005/scholar-feed-mcp
Website: https://www.scholarfeed.org

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