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ScholarFetch

REMOTE · LAIBNIZ-SCHOLARFETCH-WEB.HF.SPACE · SCANNED SEP 20

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

0 this week 72 Trust /100
Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →

Endpoint Security57
Transport & Reachability100
Schema Quality & AI Usability72
  • AI-judged instruction clarity (good).Pass
  • Tool/resource definitions use about 1226 tokens (~102/item across 12 items; 12 tools + 0 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management100
  • No destabilizing schema changes in the last 30 days.Pass
Tool Coverage71
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 0% of tool parameters carry a description.Fail
  • Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety75
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • 0 of 1 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation; "scholarfetch_saved_remove" implies "remove" and declares no destructiveHint at all, which the MCP spec reads as destructive by default. See how to fix → Fail
  • An AI judge read all 13 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities60
  • Spec-recency check failed: implements MCP spec 2025-06-18; the latest is 2026-07-28. See how to fix → Fail
Install

How do I install the ScholarFetch MCP server?

ScholarFetch is a hosted endpoint at https://laibniz-scholarfetch-web.hf.space/mcp/, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

remote · laibniz-scholarfetch-web.hf.space

# add to Claude Code
claude mcp add --transport http laibniz-scholarfetch 'https://laibniz-scholarfetch-web.hf.space/mcp/'
// .cursor/mcp.json
{
  "mcpServers": {
    "laibniz-scholarfetch": {
      "url": "https://laibniz-scholarfetch-web.hf.space/mcp/"
    }
  }
}
// .vscode/mcp.json
{
  "servers": {
    "laibniz-scholarfetch": {
      "type": "http",
      "url": "https://laibniz-scholarfetch-web.hf.space/mcp/"
    }
  }
}
# ~/.codex/config.toml
[mcp_servers.laibniz-scholarfetch]
url = "https://laibniz-scholarfetch-web.hf.space/mcp/"
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "laibniz-scholarfetch": {
      "type": "remote",
      "url": "https://laibniz-scholarfetch-web.hf.space/mcp/",
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add laibniz-scholarfetch --url 'https://laibniz-scholarfetch-web.hf.space/mcp/' --transport streamable-http
# ~/.hermes/config.yaml
mcp_servers:
  laibniz-scholarfetch:
    url: "https://laibniz-scholarfetch-web.hf.space/mcp/"
// ~/.netclaw/config/netclaw.json
{
  "McpServers": {
    "laibniz-scholarfetch": {
      "Transport": "http",
      "Url": "https://laibniz-scholarfetch-web.hf.space/mcp/"
    }
  }
}
# add to Vellum
assistant mcp add laibniz-scholarfetch -t streamable-http -u 'https://laibniz-scholarfetch-web.hf.space/mcp/'
// mcp.json
{
  "mcpServers": {
    "laibniz-scholarfetch": {
      "type": "http",
      "url": "https://laibniz-scholarfetch-web.hf.space/mcp/"
    }
  }
}

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 26 Aug 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 25 Aug 26 0
    • Stability: 0.97 → pass security
  • 24 Aug 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 93 to 97. That category is still filling its 30-day observation window: 28 days of observed history at the previous scan, 29 at this one. The score rises as the window fills, whether or not the server changes.

  • 11 Aug 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 7 Aug 26 0
    • The server no longer declares the “experimental” capability functional
  • 6 Aug 26 0
    • Authorization: Authorisation not fully verified: no authorisation is required to call this server, and 12 tool(s) never declared a destructiveHint. The MCP spec treats an absent hint as destructive by default, so we cannot call this surface safe. security
    • Schema quality: 48 → 102 functional
    • Schema quality: unverified → fail functional
    • Tool coverage: unverified → 100 functional
    • First check of Tool coverage: 0 functional
    • First check of Tool coverage: 100 functional
    • Schema quality: poor → excellent functional
    • New tool “scholarfetch_abstract” functional
    • New tool “scholarfetch_article_text” functional
    • New tool “scholarfetch_author_candidates” functional
    • New tool “scholarfetch_author_papers” functional
    • New tool “scholarfetch_doi_lookup” functional
    • New tool “scholarfetch_references” functional
    • New tool “scholarfetch_saved_add” functional
    • New tool “scholarfetch_saved_clear” functional
    • New tool “scholarfetch_saved_export” functional
    • New tool “scholarfetch_saved_list” functional
    • New tool “scholarfetch_saved_remove” functional
    • New tool “scholarfetch_search” functional
  • 31 Jul 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 30 Jul 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 20 Sept 2026 · Probed https://laibniz-scholarfetch-web.hf.space/mcp/

TLS valid

Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .

Subject Issuer Valid from Valid until Key Signature Serial
CN=hf.space CN=Amazon RSA 2048 M01,O=Amazon,C=US 27 Oct 2025 25 Nov 2026 RSA 2048 SHA256-RSA 925124b6177d84070b69b0e7d4f8d64
SANs: hf.space, *.hf.space
CN=Amazon RSA 2048 M01,O=Amazon,C=US (CA) CN=Amazon Root CA 1,O=Amazon,C=US 23 Aug 2022 23 Aug 2030 RSA 2048 SHA256-RSA 77312380b9d6688a33b1ed9bf9ccda68e0e0f
CN=Amazon Root CA 1,O=Amazon,C=US (CA) CN=Starfield Services Root Certificate Authority - G2,O=Starfield Technologies\, Inc.,L=Scottsdale,ST=Arizona,C=US 25 May 2015 31 Dec 2037 RSA 2048 SHA256-RSA 67f944a2a27cdf3fac2ae2b01f908eeb9c4c6

Background: What to check on a remote MCP endpoint →

DNSSEC insecure

Validation of laibniz-scholarfetch-web.hf.space. Not signed

Zone DS Keys Algorithms Outcome
. trust_anchor 20326, 38696 8, 8 Verified
space. present 51168 13 Verified
hf.space. absent Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation
Authentication No authorisation required

The endpoint answered without asking for a token. Anyone who knows the URL can reach it.

Result No authorisation required
HTTP status 200

Background: How OAuth 2.1 works in the 2026 MCP spec →

Transports 2 probes
Transport URL Outcome Status Location
streamable-http https://laibniz-scholarfetch-web.hf.space/mcp/ Verified 200
http (plaintext) http://laibniz-scholarfetch-web.hf.space/mcp/ HTTPS enforced 301 https://laibniz-scholarfetch-web.hf.space:443/mcp/
MCP tools · 12 exposed · ~1,178 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
scholarfetch_abstract ~109

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.

NameTypeReqDescription
author_name
candidate_indexinteger
doi
enginesstring
paper_indexinteger
NameTypeReqDescription
resultobjectyes

No examples provided.

scholarfetch_article_text ~141

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.

NameTypeReqDescription
author_name
candidate_indexinteger
doi
enginesstring
paper_indexinteger
NameTypeReqDescription
resultobjectyes

No examples provided.

scholarfetch_author_candidates ~82

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`.

NameTypeReqDescription
enginesstring
limitinteger
namestringyes
NameTypeReqDescription
resultobjectyes

No examples provided.

scholarfetch_author_papers ~164

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`.

NameTypeReqDescription
author_id
author_name
candidate_indexinteger
enginesstring
filtersstring
limitinteger
NameTypeReqDescription
resultobjectyes

No examples provided.

scholarfetch_doi_lookup ~79

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.

NameTypeReqDescription
doistringyes
enginesstring
NameTypeReqDescription
resultobjectyes

No examples provided.

scholarfetch_references ~118

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.

NameTypeReqDescription
author_name
candidate_indexinteger
doi
enginesstring
paper_indexinteger
NameTypeReqDescription
resultobjectyes

No examples provided.

scholarfetch_saved_add ~133

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.

NameTypeReqDescription
author_name
candidate_indexinteger
collectionstring
doi
enginesstring
paper_indexinteger
paper_json
query
result_indexinteger
NameTypeReqDescription
resultobjectyes

No examples provided.

scholarfetch_saved_clear ~35

Clear all papers from a named in-memory reading list. Useful when restarting a research branch.

NameTypeReqDescription
collectionstring
NameTypeReqDescription
resultobjectyes

No examples provided.

scholarfetch_saved_export ~124

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.

NameTypeReqDescription
collectionstring
enginesstring
formatstring
include_referencesboolean
stylestring
NameTypeReqDescription
resultobjectyes

No examples provided.

scholarfetch_saved_list ~43

List all papers currently saved in a named in-memory reading list. Use this to inspect the working set before exporting or removing items.

NameTypeReqDescription
collectionstring
NameTypeReqDescription
resultobjectyes

No examples provided.

scholarfetch_saved_remove ~43

Remove one paper from a named in-memory reading list by DOI or exact title.

NameTypeReqDescription
collectionstring
doi
title
NameTypeReqDescription
resultobjectyes

No examples provided.

scholarfetch_search ~107

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.

NameTypeReqDescription
enginesstring
limitinteger
querystringyes
NameTypeReqDescription
resultobjectyes

No examples provided.

Common questions

What is the ScholarFetch MCP server?

ScholarFetch is an MCP server listed in the public MCP registry as io.github.laibniz/scholarfetch. Multi-engine scholarly research server for search, traversal, full text, and reading lists. This page covers its hosted endpoint (https://laibniz-scholarfetch-web.hf.space/mcp/).

Is the ScholarFetch MCP server safe to use?

ScholarFetch scores 72 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the ScholarFetch MCP server expose?

ScholarFetch exposes 12 tools: scholarfetch_search, scholarfetch_doi_lookup, scholarfetch_author_candidates, scholarfetch_author_papers, scholarfetch_abstract, and 7 more. Their descriptions and schemas cost roughly 1,178 tokens of context every time the server is loaded.

Does the ScholarFetch MCP server require authentication?

No. We connected to ScholarFetch without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.

Is the ScholarFetch MCP server still maintained?

ScholarFetch is still listed as active in the MCP registry. We last reached this channel on 20 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.