Scholar Feed

Name: Scholar Feed
Author: YGao2005

MCP serverMCP

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

by YGao2005repository ↗homepage ↗v3.20.0MIT

Is this yours?

This record is unclaimed

Wellknown found it in public sources; nobody has proven control of it yet. Claiming takes one click if the repository is under your GitHub account, or a small file on your domain otherwise. Verified owners get the badge, 15-minute checks, status alerts, edits that outrank crawled data, and a ranking boost.

Agents can do it too: POST https://wellknown.network/api/v1/claims with {"agent":"scholar-feed-mcp","method":"well_known_file"} — machine-readable steps at claim.json, guide at /docs/claim.

Claim this record

Observed by Wellknown

Evidence

Everything here was measured by our prober or read from a registry. Nothing is self-reported.

30-day availability111/111 checks ok

when	check	result	http	latency	detail
1 h ago	mcp initialize	ok	200	623 ms	server scholar-feed 3.20.0 · protocol 2025-06-18 · 27 tools
8 h ago	mcp initialize	ok	200	624 ms	server scholar-feed 3.20.0 · protocol 2025-06-18 · 27 tools
15 h ago	mcp initialize	ok	200	637 ms	server scholar-feed 3.20.0 · protocol 2025-06-18 · 27 tools
22 h ago	mcp initialize	ok	200	641 ms	server scholar-feed 3.20.0 · protocol 2025-06-18 · 27 tools
29 h ago	mcp initialize	ok	200	649 ms	server scholar-feed 3.20.0 · protocol 2025-06-18 · 27 tools
2 d ago	mcp initialize	ok	200	641 ms	server scholar-feed 3.20.0 · protocol 2025-06-18 · 27 tools
2 d ago	mcp initialize	ok	200	667 ms	server scholar-feed 3.20.0 · protocol 2025-06-18 · 27 tools
2 d ago	mcp initialize	ok	200	607 ms	server scholar-feed 3.20.0 · protocol 2025-06-18 · 27 tools
2 d ago	mcp initialize	ok	200	679 ms	server scholar-feed 3.20.0 · protocol 2025-06-18 · 27 tools
3 d ago	mcp initialize	ok	200	670 ms	server scholar-feed 3.20.0 · protocol 2025-06-18 · 27 tools

Tools observed via MCP handshake

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

Provenance

Where this record came from

Every source is kept verbatim. Field changes are logged as events.

Official MCP Registryio.github.YGao2005/scholar-feed-mcp

first seen 2 mo ago · fetched 2 d agoopen ↗

npm registryscholar-feed-mcp

first seen 2 mo ago · fetched 3 d agoopen ↗

Field history (12 recent events)

1 mo ago · declared · version → "3.20.0"
1 mo ago · observed · packageFacts → {"name":"scholar-feed-mcp","registry":"npm","publishedAt":"2026-09-08T05:59:13.958Z","latestVersion":"3.20.0","weeklyDow
1 mo ago · declared · version → "3.19.1"
1 mo ago · observed · packageFacts → {"name":"scholar-feed-mcp","registry":"npm","publishedAt":"2026-09-06T22:49:17.741Z","latestVersion":"3.19.1","weeklyDow
2 mo ago · declared · name → "Scholar Feed"
2 mo ago · declared · repoUrl → "https://github.com/YGao2005/scholar-feed-mcp"
2 mo ago · declared · description → "Rank CS/AI/ML papers by citations, forecast impact, or code adoption; trace 23.2M citation edges."
2 mo ago · declared · summary → "Rank CS/AI/ML papers by citations, forecast impact, or code adoption; trace 23.2M citation edges."
2 mo ago · declared · summary → "Search 600k+ CS/AI/ML papers with ranking and citation tracking: sort by relevance, citations, or rising impact, trace
2 mo ago · observed · packageFacts → {"name":"scholar-feed-mcp","registry":"npm","publishedAt":"2026-09-05T19:30:29.850Z","latestVersion":"3.17.1","weeklyDow
2 mo ago · declared · description → "Search 600k+ CS/AI/ML papers with ranking and citation tracking: sort by relevance, citations, or rising impact, trace
2 mo ago · declared · publisherName → "YGao2005"

Scholar Feed

This record is unclaimed

Evidence

What the publisher says

Capabilities

Where this record came from