Scholar Feed

Scholar Feed MCP Server

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Search 600,000+ CS/AI/ML research papers with LLM-generated novelty analysis, without leaving Claude Code, Cursor, or any MCP client. Built for researchers running a literature review where they already work: search, trace citations, pull full text, and export BibTeX in the same session.

Scholar Feed indexes arXiv papers daily and ranks them using a multi-signal scoring system (recency, citation velocity, institutional reputation, code availability). Each paper has an LLM-generated summary and novelty score.

Quick Start

npx scholar-feed-mcp@latest init

This interactive wizard will:

1. Optionally ask for an API key (or skip for anonymous access)
2. Detect your MCP client (Claude Code, Cursor, or Claude Desktop)
3. Write the config and verify the connection

No API key required. Anonymous access gives you 100 calls/day, enough for a typical research session. For higher limits (1,000/day per account), get a free key at scholarfeed.org/settings.

Try asking: "Search for recent papers on test-time compute scaling"

What You Can Do

Technology scouting: "What novel research on retrieval-augmented generation was published this month?"

Literature review: "Find papers similar to 2401.04088 and export their BibTeX"

Trend monitoring: "What's trending in cs.CV this week? Summarize the top 3."

Author discovery: "Who are the top researchers working on efficient LLM inference?"

Field orientation: "Give me an orientation report on sparse mixture-of-experts architectures."

Installation

The fastest path is npx scholar-feed-mcp@latest init, which auto-detects your client and writes the config. To set it up by hand, every client launches the same stdio server (npx -y scholar-feed-mcp@latest); only the config-file location and the wrapper key differ.

Claude Desktop (one-click) installs without editing any config: download the .mcpb bundle from the latest release and open it (or drag it into Settings > Extensions). The installer shows one optional field for a Scholar Feed API key (sf_...): leave it blank for anonymous mode (100 calls/day), or paste a free key from scholarfeed.org/settings for 1,000/day.

Claude Code takes a one-line command:

# Anonymous (100 calls/day)
claude mcp add scholar-feed -- npx -y scholar-feed-mcp@latest

# With an API key (1,000 calls/day per account)
claude mcp add scholar-feed -e SF_API_KEY=sf_your_key_here -- npx -y scholar-feed-mcp@latest

Every other client takes this standard JSON block:

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

To raise limits to 1,000 calls/day, add "env": { "SF_API_KEY": "sf_your_key_here" } to the server entry. Get a free key at scholarfeed.org/settings.

Drop that block into the right config file:

| Client | Config file | Notes | |--------|-------------|-------| | Cursor | .cursor/mcp.json (project) or ~/.cursor/mcp.json (global) | Restart Cursor. | | Claude Desktop | macOS: ~/Library/Application Support/Claude/claude_desktop_config.json; Windows: %APPDATA%\Claude\claude_desktop_config.json | Settings → Developer → Edit Config, then restart. | | Windsurf | ~/.codeium/windsurf/mcp_config.json | Cascade → MCP icon → Configure, then refresh. | | Cline / Roo Code | cline_mcp_settings.json | MCP Servers sidebar icon → Configure. Cline and Roo Code share this format. | | Gemini CLI | ~/.gemini/settings.json (or project .gemini/settings.json) | | | LM Studio | ~/.lmstudio/mcp.json | Program tab → Install → Edit mcp.json. Follows Cursor's notation. | | JetBrains (PyCharm / IntelliJ) | AI Assistant → MCP → Add → As JSON | Requires AI Assistant 2025.1+. |

A few clients need a different wrapper key or file format:

VS Code (GitHub Copilot), Zed, Continue, and project-scoped configs

VS Code: GitHub Copilot (.vscode/mcp.json) uses a servers key and an explicit type, and needs Copilot agent mode. You can also run MCP: Add Server from the Command Palette.

{
  "servers": {
    "scholar-feed": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "scholar-feed-mcp@latest"]
    }
  }
}

Zed (settings.json) uses a context_servers key, and the "source": "custom" line is required (without it, Zed silently skips the entry).

{
  "context_servers": {
    "scholar-feed": {
      "source": "custom",
      "command": "npx",
      "args": ["-y", "scholar-feed-mcp@latest"]
    }
  }
}

Continue uses YAML, with mcpServers as a list, in ~/.continue/config.yaml (global) or .continue/config.yaml (workspace).

mcpServers:
  - name: scholar-feed
    type: stdio
    command: npx
    args:
      - "-y"
      - scholar-feed-mcp@latest

Project-scoped (.mcp.json), to share the server across a repo:

{
  "mcpServers": {
    "scholar-feed": {
      "command": "npx",
      "args": ["-y", "scholar-feed-mcp@latest"],
      "env": { "SF_API_KEY": "${SF_API_KEY}" }
    }
  }
}

Windows: for any JSON config above, use "command": "cmd" and "args": ["/c", "npx", "-y", "scholar-feed-mcp@latest"].

Scholar Feed is a standard stdio MCP server, so any other MCP-compatible client works with the standard block too.

Available Tools (25)

Core Search & Discovery

| Tool | Description | Key Parameters | |------|-------------|----------------| | search_papers | Semantic + keyword search with filters. Also does similar-paper discovery, citation-scoped search, and trending. | q, category, novelty_min, days, sort, anchor_paper_id, scope_to_citations_of, mode, method_category, task, dataset, contribution_type, task_category, cursor, limit | | get_paper | Get full paper details by arXiv ID. Also handles batch lookup and BibTeX export. | arxiv_ids, format, fields, verbose | | get_citations | Citation graph (outgoing refs or incoming citations) | arxiv_id, direction, limit, fields | | fetch_fulltext | Extract results/experiments from LaTeX source | arxiv_id |

Authors

| Tool | Description | Key Parameters | |------|-------------|----------------| | find_author | Find researchers by topic/name query, or retrieve a profile by ID. | q, id, field, limit | | co_author_graph | Co-authorship neighborhood for an author | author_ids, window_years |

Embeddings

| Tool | Description | Key Parameters | |------|-------------|----------------| | embed_text | Get a 768-dim Gemini embedding for text (for HyDE and custom similarity). Pro-only, so anonymous/free callers get a 403 pro_required. | text, task_type |

Research

| Tool | Description | Key Parameters | |------|-------------|----------------| | get_field_orientation | Cheap retrieval orientation for a research area: top papers, subfields, open problems. No Pro quota. | topic, limit | | get_foundational_lineage | Foundational work for a paper's niche via the citation graph (consensus-then-lift): nicheroots → fieldlevel → discipline, with cited_by_in_niche evidence. Surfaces canonical anchors semantic search misses. No Pro quota. | anchor_paper_id, scope, generality_ceiling, limit |

Library, Collections, Watches & Gap Analysis (require SF_API_KEY)

These MUTATE or read the authenticated user's account. The core read/search tools above work anonymously; these need a key.

| Tool | Description | Key Parameters | |------|-------------|----------------| | save_paper | Bookmark a paper to your library (idempotent; feeds personalization). | arxiv_id | | unsave_paper | Remove a paper from your library (idempotent). | arxiv_id | | like_paper | "More like this" calibration signal for the For You feed (insert-only). | arxiv_id | | list_library | List your saved papers, newest first. | limit, page | | list_collections | List collections with paper counts. | (none) | | create_collection | Create a named collection (get-or-create; no error on duplicate). | name | | add_to_collection | Add a paper to a collection by name or id (also auto-saves). | arxiv_id, collection_name, collection_id | | remove_from_collection | Remove a paper from a collection (stays saved). | arxiv_id, collection_name, collection_id | | create_watch | Standing daily-evaluated saved search; get-or-create by name. Define it with a structured criteria filter (recommended) or a single seed selector. | name, novelty_min, criteria, recency_days, q, collection_name, collection_id, anchor_paper_id, scope_to_citations_of, author_id, category | | list_watches | List watches with summary, last_evaluated_at, and pending_hits. | (none) | | check_watches | Pull new matches since the last digest (read-only, idempotent). | watch_name, watch_id, limit | | update_watch | Edit a watch in place: rename, change novelty_min, or retarget its structured criteria (clears pending hits). Address by name or id. | name, watch_id, new_name, novelty_min, criteria, recency_days | | preview_watch | Dry-run a structured criteria filter over recent papers without creating a watch; returns match_count and a sample to tune before saving. Read-only. | criteria, recency_days | | delete_watch | Delete a watch by name or id (idempotent). | name, watch_id | | find_gaps | "What am I missing?" for a collection or topic: foundational + frontier work you haven't saved (read-only, Pro). | collection_name, collection_id, topic, scope, limit | | ask_library | "Answer from my saved set": a cited synthesis over your library or one collection, grounded only in papers you've saved (read-only). The inverse of find_gaps. Free 1/month, then Pro 200/day. | question, collection_name, collection_id, limit |

Novelty Score

Every paper has an llm_novelty_score from 0.0 to 1.0:

| Range | Meaning | Example | |-------|---------|---------| | 0.7+ | Paradigm shift or broad SOTA | New architecture that changes the field | | 0.5-0.7 | Novel method with strong results | New training technique with clear gains | | 0.3-0.5 | Incremental improvement | Applying known method to new domain | |

• npm:
• REST API:

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License

[MIT](LICENSE)

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: YGao2005
• Source: YGao2005/scholar-feed-mcp
• License: MIT
• Homepage: https://www.scholarfeed.org

Install and usage instructions live in the source repository linked above.