Pangolinfo Review Mining MCP
NPM · PANGOLINFO-REVIEW-MINING-MCP
Amazon review mining for AI agents — complaint detection, sentiment trends, complaint topics.
Available components
Last scanned (3 hours ago)
Scores higher than 41% of npm servers
Category Data and Analytics
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 Security98
- 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
- 30 of 92 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency45
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 8 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability68
- AI-judged instruction clarity (good).Pass
- Context-footprint check failed: tool/resource definitions use about 736 tokens (~147/item across 5 items; 5 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 Management17
- Stability observed for 5 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 5 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
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 +1
No change was recorded against any check on this day. Stability & Change Management went from 13 to 17. That category is still filling its 30-day observation window: 4 days of observed history at the previous scan, 5 at this one. The score rises as the window fills, whether or not the server changes.
- 2 Nov 26 +1
- Stability: unverified → 0.07 ▲ functional
- 1 Nov 26 +15
- Malware scan: unverified → pass ▲ security
- 31 Oct 26 +16
- Malware scan: pass → unverified ▼ security
- Injection markers: unverified → pass ▲ security
- First check of Judged manipulation: pass security
- Stability: Stability not yet verified: not enough scan history yet (needs a 30-day window). security
- Tool coverage: unverified → 100 ▲ functional
- MCP protocol: unverified → pass ▲ functional
- First check of Schema quality: fail functional
- First check of Destructive annotations: pass functional
- First check of Schema quality: fail functional
- First check of Schema quality: good functional
- First check of Tool coverage: 100 functional
- Package version: 0.1.1 → 0.1.2 functional
- 26 Oct 26 38
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/pangolinfo-review-mining-mcp@0.1.2
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | npm |
Background: How many MCP packages publish verified provenance →
Dependencies 92 packages
| Packages resolved | 92 |
|---|---|
| Stale | 30 |
| 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_product_reviews ~190
Fetch paginated Amazon product reviews for one ASIN via Pangolinfo, with the upstream billing (pointCost) reported verbatim. Billing: docs and measured calls show 5 credits/page; the upstream tool description currently states 10 credits/page — this tool reports pointCost as returned, it does not assert a rate.
| Name | Type | Req | Description |
|---|---|---|---|
| asin | string | yes | 10-character Amazon ASIN (case-insensitive). |
| filterByStar | string | – | Star filter. 'critical' = negative reviews. |
| mediaType | string | – | all_contents (default) or media_reviews_only. |
| pageCount | integer | – | Review pages to fetch (~10 reviews per page). Each page bills credits on the Pangolinfo account — see billing notes. |
| site | string | – | Amazon marketplace. Defaults to amz_us. |
| sortBy | string | – | Sort order: recent (default) or helpful. |
No output schema declared.
No examples provided.
mine_complaints ~176
Extract complaint signals from negative (critical, 1-3 star) reviews for one ASIN. Tags each complaint review with human-readable themes (quality_defect, battery_power, connectivity, comfort_fit, sound_quality, shipping_delivery, returns_refunds, value_price, authenticity, app_software) using a transparent English keyword heuristic — not a classifier. Optionally filter to complaints with at least minHelpful helpful votes.
| Name | Type | Req | Description |
|---|---|---|---|
| asin | string | yes | 10-character Amazon ASIN (case-insensitive). |
| minHelpful | integer | – | Only keep complaints with at least this many helpful votes. |
| pageCount | integer | – | Review pages to fetch (~10 reviews per page). Each page bills credits on the Pangolinfo account — see billing notes. |
| site | string | – | Amazon marketplace. Defaults to amz_us. |
No output schema declared.
No examples provided.
review_mining_report ~151
Combined per-ASIN review-mining summary: totals, rating distribution, monthly trend, top complaint topics, most-endorsed complaints, and billing as returned. When the ASIN matches the documented Oct 12, 2026 baseline (B0FQFB8FMG), the report also cites that historical baseline for reference, clearly labeled as historical — never as current data.
| Name | Type | Req | Description |
|---|---|---|---|
| asin | string | yes | 10-character Amazon ASIN (case-insensitive). |
| pageCount | integer | – | Review pages to fetch (~10 reviews per page). Each page bills credits on the Pangolinfo account — see billing notes. |
| site | string | – | Amazon marketplace. Defaults to amz_us. |
No output schema declared.
No examples provided.
review_sentiment_summary ~106
Rating distribution, average star, negative/critical/positive shares, and a monthly sentiment trend for one ASIN's reviews. Pure local computation over fetched reviews.
| Name | Type | Req | Description |
|---|---|---|---|
| asin | string | yes | 10-character Amazon ASIN (case-insensitive). |
| pageCount | integer | – | Review pages to fetch (~10 reviews per page). Each page bills credits on the Pangolinfo account — see billing notes. |
| site | string | – | Amazon marketplace. Defaults to amz_us. |
No output schema declared.
No examples provided.
top_complaint_topics ~113
Ranked complaint themes across negative reviews for one ASIN, with counts, shares, and example review titles for traceability.
| Name | Type | Req | Description |
|---|---|---|---|
| asin | string | yes | 10-character Amazon ASIN (case-insensitive). |
| pageCount | integer | – | Review pages to fetch (~10 reviews per page). Each page bills credits on the Pangolinfo account — see billing notes. |
| site | string | – | Amazon marketplace. Defaults to amz_us. |
| topN | integer | – | How many top themes to return. |
No output schema declared.
No examples provided.
How do I install the Pangolinfo Review Mining MCP server?
Pangolinfo Review Mining MCP runs locally as an npm package, launched with npx -y pangolinfo-review-mining-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
npm · pangolinfo-review-mining-mcp
claude mcp add pangolin-spg-pangolinfo-review-mining-mcp -- npx -y pangolinfo-review-mining-mcp
What is the Pangolinfo Review Mining MCP server?
Pangolinfo Review Mining MCP is listed in the public MCP registry as io.github.Pangolin-spg/pangolinfo-review-mining-mcp. Amazon review mining for AI agents, complaint detection, sentiment trends, complaint topics. This page covers its npm package (pangolinfo-review-mining-mcp).
Is the Pangolinfo Review Mining MCP server safe to use?
Pangolinfo Review Mining MCP scores 71 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. 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 Pangolinfo Review Mining MCP server expose?
Pangolinfo Review Mining MCP exposes 5 tools: get_product_reviews, mine_complaints, review_sentiment_summary, top_complaint_topics, review_mining_report. Their descriptions and schemas cost roughly 736 tokens of context every time the server is loaded.
Is the Pangolinfo Review Mining MCP server still maintained?
Pangolinfo Review Mining MCP 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 Pangolinfo Review Mining MCP server under?
Pangolinfo Review Mining MCP declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.