Multi-engine scholarly search with a hosted Streamable HTTP endpoint.
Do not connect
The assessed surface is high-risk. Remediate the findings before connecting.
Scanned 1 month ago Due for re-check
A server can change after it's graded. Re-run the automated scan to refresh this report.
This grade is deterministic and reproducible: the same server surface always yields the same grade under a given algorithm version. It is a real automated assessment computed by the MCPGrade engine from what the probe actually observed — not a fabricated or opinion score. It is not a manual human pentest, so it can miss context-specific risks.
Every signal below was measured directly by the automated probe. The grade is derived only from evidence like this — nothing is assumed.
The ScholarFetch FastMCP MCP server exposes 12 tools, focused primarily on general-purpose capabilities. Its published description reads: "Multi-engine scholarly search with a hosted Streamable HTTP endpoint". It communicates over Streamable HTTP using the 2025-06-18 protocol revision, and does not require authorization to connect. MCPGrade currently rates ScholarFetch FastMCP D+ — the assessed surface is high-risk and should be remediated before use. Its most notable findings include "Cross-tool shadowing" and "Cross-tool shadowing". This report is a deterministic, reproducible automated assessment: the same observed surface always yields the same grade under a given algorithm version, and it is refreshed as new scans arrive and free to read — but it is not a substitute for a manual human security review. Always re-check ScholarFetch FastMCP's advertised tools, transport security, and authorization posture before connecting an autonomous agent or sharing sensitive context with it.
Add ScholarFetch FastMCP to an MCP client using the endpoint below. Review the grade and findings above before granting an autonomous agent access.
MCP endpoint
https://laibniz-scholarfetch-web.hf.space/mcp/Streamable HTTP transport. This is the MCP endpoint, not a website — paste it into your MCP client server list rather than a browser.
Captured passively during the read-only scan. Click any value to find servers that match it.
The tools this server advertises via tools/list — names, purposes, and the parameters each accepts, exactly as enumerated read-only.
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
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,
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`
Sorted worst-first. Each finding shows its severity, what it means, its OWASP MCP Top-10 mapping, and a recommended fix — the check id links to the exact methodology row that produced it.
tool: scholarfetch_author_candidates
A tool description tries to alter the model’s use of another tool.
se this before `scholarfetch_author_papers` when the name is ambiguous and you need a stabRecommendationDescriptions must describe only their own tool.
tool: scholarfetch_author_papers
A tool description tries to alter the model’s use of another tool.
e_index` after `scholarfetch_author_candidates`. Supported comma-separated `filters`: year>=YYRecommendationDescriptions must describe only their own tool.
The server accepts tool enumeration (and likely invocation) with no authentication.
RecommendationRequire OAuth 2.1 authorization for any server exposing non-public tools.
tool: scholarfetch_saved_list
The server advertises open-world / broadly-scoped capabilities.
no annotations on write-capable tool "scholarfetch_saved_list"RecommendationScope tools to the minimum needed.
tool: scholarfetch_saved_remove
The server advertises open-world / broadly-scoped capabilities.
no annotations on write-capable tool "scholarfetch_saved_remove"RecommendationScope tools to the minimum needed.
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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`
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,
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
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`,
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+pa
List all papers currently saved in a named in-memory reading list. Use this to inspect the working set before exporting or removing items.
Remove one paper from a named in-memory reading list by DOI or exact title.
Clear all papers from a named in-memory reading list. Useful when restarting a research branch.
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=citati