Semanticscholar
NPM · @PIPEWORX/MCP-SEMANTICSCHOLAR · 2 COMPONENTS
Semantic Scholar Academic Graph MCP.
Available components
Last scanned (21 hours ago)
Scores higher than 81% of npm servers
Category Education and Research
How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →
Supply Chain Security100
- No malware found by supply-chain analysis.Pass
- No known CVEs affecting this package version or its production dependencies.Pass
- No install/post-install scripts declared.Pass
- No production dependencies, so there is no dependency health to assess. View diagnostics → Pass
Provenance & Transparency97
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Cryptographically verified build provenance (signed, bound to pipeworx-io/mcp-semanticscholar). View diagnostics → Pass
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 0 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability74
- AI-judged instruction clarity (excellent).Pass
- Context-footprint check failed: tool/resource definitions use about 602 tokens (~150/item across 4 items; 4 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management23
- Stability observed for 7 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 4 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 5 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Checks we ran (16)
- Malware scan
- Known CVEs
- Install scripts
- Dependency health
- Source repository
- Provenance
- License
- Maintenance
- Security disclosure
- Schema quality
- Stability
- Tool coverage
- Injection markers
- Destructive annotations
- Judged manipulation
- MCP protocol
Does not apply to this package (2)
- Endpoint SecurityScored on hosted endpoints only. A package has no live endpoint of its own for us to probe.
- Transport & ReachabilityScored on hosted endpoints only. A package has no live endpoint of its own for us to probe.
The score does not measure everything. What the score does not measure →
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.
- 5 Nov 26 +3
- Tool safety: pass → unverified ▼ security
- Stability: Stability not yet verified: we do not have a sandbox capture of the MCP schema this version of the package serves yet. security
- Capabilities: pass → unverified ▼ functional
- Tool coverage: 100 → unverified ▼ functional
- Stability: unverified → 0.23 ▲ functional
- First check of Schema quality: unverified functional
- Package version: 0.2.0 → 0.2.1 functional
- 30 Oct 26 0
- Security disclosure: unverified → fail ▼ functional
- 29 Oct 26 81
First indexed and scored.
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 5 Nov 2026 · Analysed npm/@pipeworx/mcp-semanticscholar@0.2.1
Provenance Verified
A signed build attestation was found and verified, binding this exact artifact to the source repository it claims to come from.
| Result | Verified |
|---|---|
| Ecosystem | npm |
| Reason | Verified |
| Discovered via | Registry attestation endpoint |
| Source repo | pipeworx-io/mcp-semanticscholar |
| Certificate issuer | https://token.actions.githubusercontent.com |
| Certificate SAN | https://github.com/pipeworx-io/mcp-semanticscholar/.github/workflows/publish.yml@refs/heads/main |
| Rekor log index | 3692343666 |
| Predicate type | SLSA build provenance https://slsa.dev/provenance/v1 |
| Subject digest | sha512:723db5f162bc4717c8993d9978be43fc2555d7c2b7afc0a265222f08705c4010bcb1a978a3ec2a463e07435063cd6eda270cde3fa9b74b7fc8e7e4460 |
Background: How many MCP packages publish verified provenance →
Dependencies 0 packages
| Packages resolved | 0 |
|---|---|
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
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 →
get_author ~66
Search for academic authors by name on Semantic Scholar. Returns up to 5 matches with affiliations, paper count, total citation count, h-index, and profile URL. Keyless.
| Name | Type | Req | Description |
|---|---|---|---|
| name | string | yes | Author name to search for, e.g. "Yoshua Bengio". |
No output schema declared.
No examples provided.
get_paper ~135
Get full metadata for a single paper by ID. Accepts a Semantic Scholar paper ID, or a prefixed ID like "DOI:10.1145/3292500", "arXiv:2106.15928", or "CorpusId:215416146". Returns abstract, TLDR summary, authors, venue, citation/reference counts, fields of study, and open-access PDF. Keyless.
| Name | Type | Req | Description |
|---|---|---|---|
| paper_id | string | yes | Paper identifier. A Semantic Scholar ID, or prefixed: "DOI:10...", "arXiv:2106.15928", "CorpusId:...". |
No output schema declared.
No examples provided.
get_paper_citations ~139
Semantic Scholar cited-by lookup: list the papers that CITE a given paper (the works citing it), with their titles, authors, year, and citation counts. Use for "cited-by papers", "who cites this paper", "papers that cite X", forward citation tracing, and finding follow-up work. Keyless.
| Name | Type | Req | Description |
|---|---|---|---|
| limit | number | – | Max citing papers to return (default 10, max 25). |
| paper_id | string | yes | Paper identifier. A Semantic Scholar ID, or prefixed: "DOI:10...", "arXiv:2106.15928", "CorpusId:...". |
No output schema declared.
No examples provided.
search_papers ~206
Search 200M+ academic papers on Semantic Scholar by keyword or exact title. Returns titles, authors, year, venue, CITATION COUNTS, DOI, and open-access PDF links. PREFER for "how many citations does <paper title> have", "citation count for <paper>", "how cited is <paper>" — search the title and read citationCount off the match. Optionally filter by year range and field of study. Keyless.
| Name | Type | Req | Description |
|---|---|---|---|
| fields_of_study | string | – | Filter by field of study, e.g. "Computer Science", "Medicine", "Biology", "Physics". |
| limit | number | – | Max results to return (default 10, max 25). |
| query | string | yes | Search query, e.g. "transformer attention mechanism" or "CRISPR gene editing". |
| year | string | – | Filter by publication year or range, e.g. "2023" or "2020-2024". |
No output schema declared.
No examples provided.
How do I install the Semanticscholar MCP server?
Semanticscholar runs locally as an npm package, launched with npx -y @pipeworx/mcp-semanticscholar. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
npm · @pipeworx/mcp-semanticscholar
claude mcp add pipeworx-io-semanticscholar -- npx -y @pipeworx/mcp-semanticscholar
What is the Semanticscholar MCP server?
Semanticscholar is an MCP server listed in the public MCP registry as io.github.pipeworx-io/semanticscholar. Semantic Scholar Academic Graph MCP. This page covers its npm package (@pipeworx/mcp-semanticscholar).
Is the Semanticscholar MCP server safe to use?
Semanticscholar scores 84 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 5 November 2026. It declares no install or post-install scripts. Its build provenance is signed and verified. 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 Semanticscholar MCP server expose?
Semanticscholar exposes 4 tools: search_papers, get_paper, get_paper_citations, get_author. Their descriptions and schemas cost roughly 546 tokens of context every time the server is loaded.
Is the Semanticscholar MCP server still maintained?
Semanticscholar is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.
What licence is the Semanticscholar MCP server under?
Semanticscholar declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.
What did VerifyMCP test on the Semanticscholar MCP server?
VerifyMCP ran 16 checks on Semanticscholar, covering Malware scan, Known CVEs, Install scripts, Dependency health and 12 more. Endpoint Security and Transport & Reachability do not apply to an npm package, so they were not tested. The score does not measure everything, and the scoring documentation lists what it leaves out.