MCP server

Scholar Feed

io.github.YGao2005/scholar-feed-mcp

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

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

Website Source

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

27

Token cost

About 14,514 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

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

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.scholar-feed-mcp]
url = "https://mcp.scholarfeed.org/mcp?src=mcp-registry"

Gemini CLI

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

Cursor

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

VS Code

{"servers":{"scholar-feed-mcp":{"type":"http","url":"https://mcp.scholarfeed.org/mcp?src=mcp-registry"}}}

Antigravity

agy mcp add scholar-feed-mcp https://mcp.scholarfeed.org/mcp?src=mcp-registry

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"scholar-feed-mcp","server_url":"https://mcp.scholarfeed.org/mcp?src=mcp-registry","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"scholar-feed-mcp","server_url":"https://mcp.scholarfeed.org/mcp?src=mcp-registry"}

Tools

• add_to_collection ~272 tokens
  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_name "AgentOPA/Formal" files the paper under an "AgentOPA" folder. MUTATES: also auto-saves the paper to the library. Idempotent (adding a pa
• annotate_paper ~604 tokens
  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), so it is safe to call repeatedly. Requires SF_API_KEY. WHY IT MATTERS: this note is the only thing that survives between sessions. list_li
• ask_library ~356 tokens
  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_gaps (which finds important work you're MISSING): ask_library reasons over what you HAVE. Optionally scope to one collection (collection_name
• check_drift ~827 tokens
  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-dominance edges (no LLM call at query time). Call with a `family` (e.g. 'rag', 'peft', 'kvcache') and a `method` (e.g. 'SnapKV', 'LoRA') to
• check_watches ~261 tokens
  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; omit both for all watches. Read-only and idempotent — does NOT advance any watermark (only digest delivery does), so it is safe to call repeat
• co_author_graph ~301 tokens
  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 one of the input authors and 'to' is any co-author appearing on a shared paper within the window. Use for AC reviewer triage (find conflict
• create_collection ~194 tokens
  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 "/" to nest under a folder, e.g. "AgentOPA/Formal" — the folder is derived from the name, so there is no parent to create first. Requires S
• create_watch ~1645 tokens
  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 by name (re-creating with an existing name returns it unchanged — never errors on duplicate). TWO forms: (1) the v2 STRUCTURED filter via `
• delete_watch Deletes data · ~174 tokens
  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 / novelty_min / retarget criteria) use update_watch instead of delete-and-recreate. Requires SF_API_KEY.
• embed_text ~350 tokens
  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's query, (2) embed it with task_type='RETRIEVAL_DOCUMENT' (default — matches the corpus embedding side), (3) pass the resulting embedding ba
• fetch_fulltext ~328 tokens
  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 paper, 8 of them ~108KB. Section labels are inferred: check `low_confidence_sections` before calling one the paper's own. Sourced from arXiv's s
• find_author ~420 tokens
  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 LLM inference'), fuzzy matching for names ('Yann LeCun'). Returns a list of matching authors with author_id, name, h_index, total_papers, p
• find_gaps ~424 tokens
  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-graph anchors in the niche, not in your library) and frontier_gaps (recent high-novelty work in the niche, not yet saved). Provide exactly on
• get_citations ~394 tokens
  Get the citation graph for a paper, sorted by citing-paper rank_score (highest-impact first). 'citing' = outgoing references this paper cites; 'cited_by' = incoming citations from other papers. Default response is a lean 12-field shape per paper — pass verbose=true for the full 28-field shape.
• get_field_orientation ~321 tokens
  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 importance) and semantic similarity to your topic (0.4 weight). Use this to bootstrap a literature survey or get a fast sense of the landsc
• get_foundational_lineage ~590 tokens
  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', often itself only modestly cited) rather than the obvious global landmarks. Anchors on the paper, takes its embedding neighbourhood as the nic
• get_paper ~597 tokens
  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. Pass format='bibtex' to get a .bib citation entry (bibtex is single-paper only; for multi-paper bibtex, call repeatedly). Default returns a le
• like_paper ~156 tokens
  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, never un-likes). Distinct from save_paper: like expresses taste for ranking; save bookmarks for later reading. Requires SF_API_KEY.
• list_collections ~94 tokens
  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. Requires SF_API_KEY.
• list_library ~537 tokens
  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 saving more. Requires SF_API_KEY. SHAPE: agent callers get a lean record — `llm_summary` (~300 chars) INSTEAD of the abstract, with empty field
• list_watches ~114 tokens
  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 delivery). Read-only. Use before create_watch to see what's already tracked. Requires SF_API_KEY.
• preview_watch ~1184 tokens
  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 can iterate (add a category, raise min_novelty, switch the collection relation) before saving with create_watch. Structured watches rank by '
• remove_from_collection ~203 tokens
  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 collection). Idempotent. Requires SF_API_KEY.
• save_paper ~190 tokens
  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 strongest signal in the For You feed and the email digest. Idempotent: calling it again on an already-saved paper leaves it saved. Requires SF_API
• search_papers ~2550 tokens
  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. EVERY PARAMETER DOCUMENTS ITS OWN BEHAVIOUR AND COVERAGE LIMITS — read the ones you intend to use; this description covers only what no sing
• unsave_paper ~193 tokens
  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: the saved library is a superset of all collections, so un-saving a paper ALSO removes it from every collection it was in. To keep it filed in
• update_watch ~1235 tokens
  Update an existing watch in place — rename, change novelty_min, or RETARGET its structured filter `criteria`. MUTATES. Address by watch_id OR name. Changing criteria replaces the definition and clears the watch's pending hits (so stale matches don't deliver); the next daily eval repopulates. Structu

Browse

• GitHub tools
• PDF tools
• Email
• Notes and wikis
• Forms and surveys

Related MCP servers

• Pubmed
  PubMed MCP — wraps the NCBI E-utilities API (biomedical literature, free, no auth)
• Semanticscholar
  Semantic Scholar Academic Graph MCP.
• Agentdata Nl
  x402-paid tools: EU company & sanctions data, web search, LLM chat, crypto intel, x402 monitoring.
• WebLens
  Scrape, crawl, map and extract the web. Pay per call in USDC, no account or API key.
• FastAF
  Use for live web data: Google, Amazon, eBay, Walmart, Zillow, LinkedIn, YouTube and X.
• Onyx
  Ed25519-signed ground-truth oracle — 63 paid x402 tools live on Base mainnet.
• Serpapi
  SerpApi MCP — wraps SerpApi (serpapi.com) search engines
• Agentpub Papers
  Submit papers for AI peer review and publication. Search and cite AI-authored research.

Badge for your README

[![AptLynx](https://aptlynx.net/badge/io.github.YGao2005/scholar-feed-mcp.svg)](https://aptlynx.net/servers/io.github.YGao2005/scholar-feed-mcp)

Listing text is written by the maker; AptLynx lists tools and does not vouch for them. Find another tool · Browse by topic · For agents