MCP server

ScholarFetch

io.github.laibniz/scholarfetch

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

Multi-engine scholarly research server for search, traversal, full text, and reading lists.

Source

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

12

Token cost

About 2,389 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 scholarfetch https://laibniz-scholarfetch-web.hf.space/mcp/

Claude Desktop

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

Codex (config.toml)

[mcp_servers.scholarfetch]
url = "https://laibniz-scholarfetch-web.hf.space/mcp/"

Gemini CLI

{"mcpServers":{"scholarfetch":{"httpUrl":"https://laibniz-scholarfetch-web.hf.space/mcp/"}}}

Cursor

{"mcpServers":{"scholarfetch":{"url":"https://laibniz-scholarfetch-web.hf.space/mcp/"}}}

VS Code

{"servers":{"scholarfetch":{"type":"http","url":"https://laibniz-scholarfetch-web.hf.space/mcp/"}}}

Antigravity

agy mcp add scholarfetch https://laibniz-scholarfetch-web.hf.space/mcp/

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":"scholarfetch","server_url":"https://laibniz-scholarfetch-web.hf.space/mcp/","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"scholarfetch","server_url":"https://laibniz-scholarfetch-web.hf.space/mcp/"}

Tools

• scholarfetch_abstract ~224 tokens
  Read the best abstract available for a paper. Use with a DOI or with author_name + candidate_index + paper_index after author_papers. If you pass `engines`, use a comma-separated subset of: elsevier, openalex, crossref, arxiv, europepmc, springer, semanticscholar.
• scholarfetch_article_text ~266 tokens
  Read full paper text when machine-readable content is recoverable. Use with a DOI or with author_name + candidate_index + paper_index. Uses Elsevier first, then open-access fallbacks such as Springer OA, Europe PMC, arXiv PDF, and generic PDF URLs when text is recoverable. If you pass `engines`, use
• scholarfetch_author_candidates ~160 tokens
  Disambiguate a human author name into ranked identity candidates. Use this before `scholarfetch_author_papers` when the name is ambiguous and you need a stable `candidate_index`. If you pass `engines`, it must include `openalex`.
• scholarfetch_author_papers ~299 tokens
  Expand one author into a deduplicated paper list. This is the main author->paper traversal tool and supports research filters. Use `author_id` when you already know the exact author, or `author_name` plus `candidate_index` after `scholarfetch_author_candidates`. Supported comma-separated `filters`:
• scholarfetch_doi_lookup ~136 tokens
  Enrich one known DOI with metadata, reading links, and full-text availability signals. If you pass `engines`, use a comma-separated subset of: elsevier, openalex, crossref, arxiv, europepmc, springer, semanticscholar.
• scholarfetch_references ~237 tokens
  Expand a paper into its references. Use with a DOI or with author_name + candidate_index + paper_index. This is the main edge-expansion tool for traversing the literature graph. If you pass `engines`, use a comma-separated subset of: elsevier, openalex, crossref, arxiv, europepmc, springer, semantic
• scholarfetch_saved_add ~327 tokens
  Add one paper to a named in-memory reading list on the MCP server. Best input is paper_json copied from another ScholarFetch tool result, but DOI, query+result_index, or author_name+candidate_index+paper_index also work. Reuse the same collection name across calls to keep one research session togeth
• scholarfetch_saved_clear ~89 tokens
  Clear all papers from a named in-memory reading list. Useful when restarting a research branch.
• scholarfetch_saved_export ~235 tokens
  Export the current reading list as citations, abstracts, BibTeX, or an aggregated full-text corpus. Valid `format` values: citations, abstracts, bib, fulltext. Valid `style` values when `format=citations`: harvard, apa, ieee. Use `include_references=true` with `format=fulltext` when you want a riche
• scholarfetch_saved_list ~101 tokens
  List all papers currently saved in a named in-memory reading list. Use this to inspect the working set before exporting or removing items.
• scholarfetch_saved_remove ~132 tokens
  Remove one paper from a named in-memory reading list by DOI or exact title.
• scholarfetch_search ~183 tokens
  Start a research traversal from keywords, a DOI, or a person name. Returns deduplicated paper records that you can inspect, save, expand through references, or use as seeds for author exploration. If you pass `engines`, use a comma-separated subset of: elsevier, openalex, crossref, arxiv, europepmc,

Browse

• GitHub tools
• OpenAlex tools
• PDF tools
• GitHub and code hosting
• Research papers

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