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8 clients · secrets stay placeholders

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

claude mcp add --transport http scholarfetch https://laibniz-scholarfetch-web.hf.space/mcp/

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

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "scholarfetch": {
      "type": "remote",
      "url": "https://laibniz-scholarfetch-web.hf.space/mcp/",
      "enabled": true
    }
  }
}

{
  "mcpServers": {
    "scholarfetch": {
      "type": "http",
      "url": "https://laibniz-scholarfetch-web.hf.space/mcp/"
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=scholarfetch&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vbGFpYm5pei1zY2hvbGFyZmV0Y2gtd2ViLmhmLnNwYWNlL21jcC8ifQ%3D%3D"
}

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

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

extensions:
  "scholarfetch":
    enabled: true
    name: "scholarfetch"
    type: streamable_http
    uri: "https://laibniz-scholarfetch-web.hf.space/mcp/"
    timeout: 300

Quality 79 / 100good

protocol75 · weight 25

warn
protocol.modernnewest supported version is 2025-06-18; 2026-07-28 not supported, older versions are deprecated until 2027-07-28
n/a
protocol.statelessonly applies to 2026-07-28 servers
pass
protocol.transportstreamable HTTP
n/a
protocol.list_ttlonly applies to 2026-07-28 servers

authorizationn/a · weight 15

n/a
auth.prm, auth.as_metadata, auth.cimdno remote uses OAuth
n/a
auth.secret_in_urlno templated URL

tool hygiene71 · weight 30

pass
tools.descriptionsevery tool has a description
pass
tools.description_lengthdescriptions are concise
pass
tools.schemasevery tool has an object input schema
fail
tools.annotationsno tool declares readOnlyHint or destructiveHint, so clients cannot tell safe calls from risky ones
fail
tools.directory_hintsno tool declares all four of readOnlyHint, destructiveHint, idempotentHint and openWorldHint; missing: scholarfetch_search (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); scholarfetch_saved_export (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); scholarfetch_author_candidates (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); …
pass
tools.token_costabout 1,966 tokens to load every tool
pass
tools.api_dumptools are not a one-to-one API dump

stability100 · weight 15

pass
stability.changesno tool changes in 30 days
pass
stability.rug_pullno tool changed its meaning under the same name

dependenciesn/a · weight 15

n/a
deps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI package

12 tools, about 1,966 tokens to load them all · tool set e47e895002ab · checked 2026-10-20 20:46 UTC

Tool changes

No tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 83 / 100

provenance80

liveness100

freshness45

hygiene100

+repository +namespace-matches-repo +reachable +uptime-99% -stale-211d

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Endpoints

remote	auth	reachable	uptime 30d	p50	protocol	last ok
`https://laibniz-scholarfetch-web.hf.space/mcp/` streamable-http	none	yes	99%	218 ms	2025-06-18	2026-10-20

Tools (12)

`scholarfetch_abstract`	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`	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 a comma-separated subset of: elsevier, openalex, crossref, arxiv, europepmc, springer, semanticscholar.
`scholarfetch_author_candidates`	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`	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`: year>=YYYY, year<=YYYY, year=YYYY, has:abstract, has:doi, has:pdf, venue:<text>, title:<text>, doi:<text>. If you pass `engines`, it must include `openalex`.
`scholarfetch_doi_lookup`	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`	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, semanticscholar.
`scholarfetch_saved_add`	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 together.
`scholarfetch_saved_clear`	Clear all papers from a named in-memory reading list. Useful when restarting a research branch.
`scholarfetch_saved_export`	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 richer downstream synthesis corpus.
`scholarfetch_saved_list`	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`	Remove one paper from a named in-memory reading list by DOI or exact title.
`scholarfetch_search`	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, springer, semanticscholar.

Schemas: list_tools.

Similar MCP servers

Official server.json

{
  "name": "io.github.laibniz/scholarfetch",
  "title": "ScholarFetch",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "remotes": [
    {
      "url": "https://laibniz-scholarfetch-web.hf.space/mcp/",
      "type": "streamable-http"
    }
  ],
  "version": "0.2.1",
  "repository": {
    "url": "https://github.com/laibniz/scholarfetch",
    "source": "github"
  },
  "description": "Multi-engine scholarly research server for search, traversal, full text, and reading lists."
}