# Pangolinfo Review Mining MCP (npm · pangolinfo-review-mining-mcp)

Amazon review mining for AI agents — complaint detection, sentiment trends, complaint topics.

- Trust score: 71/100 (medium)
- Change this week: +33
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-11-05

## Components

- npm · `pangolinfo-review-mining-mcp`: 71/100 (this document), [markdown](https://verifymcp.io/servers/pangolin-spg-pangolinfo-review-mining-mcp/pangolinfo-review-mining-mcp.md), [page](https://verifymcp.io/servers/pangolin-spg-pangolinfo-review-mining-mcp/pangolinfo-review-mining-mcp)

## Channel facts

- Registry: `npm`
- Package: `pangolinfo-review-mining-mcp`
- Version: `0.1.2`
- Transport: `stdio`

## Trust breakdown

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. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-11-05.

- **Supply Chain Security**: 98/100
  - No malware found by supply-chain analysis.
  - No known CVEs affecting this package version or its production dependencies.
  - No install/post-install scripts declared.
  - 30 of 92 dependencies flagged as unhealthy.
- **Provenance & Transparency**: 45/100
  - Source repository is publicly reachable at the declared URL.
  - Provenance check failed: no build-provenance attestation is published.
  - Clear OSI-approved license (MIT).
  - Actively maintained (last published 8 days ago).
  - Disclosure check failed: no security disclosure policy was found in the source repository.
- **Schema Quality & AI Usability**: 68/100
  - AI-judged instruction clarity (good).
  - 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.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 17/100
  - Stability observed for 5 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 100/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 100% of tool parameters carry a description.
- **Tool Safety**: 100/100
  - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.
  - We read all 5 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 5 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.

## Install

### 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.

### Claude

```bash
claude mcp add pangolin-spg-pangolinfo-review-mining-mcp -- npx -y pangolinfo-review-mining-mcp
```

### Cursor

```json
{
  "mcpServers": {
    "pangolin-spg-pangolinfo-review-mining-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "pangolinfo-review-mining-mcp"
      ]
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "pangolin-spg-pangolinfo-review-mining-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "pangolinfo-review-mining-mcp"
      ]
    }
  }
}
```

### Codex

```bash
codex mcp add pangolin-spg-pangolinfo-review-mining-mcp -- npx -y pangolinfo-review-mining-mcp
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "pangolin-spg-pangolinfo-review-mining-mcp": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "pangolinfo-review-mining-mcp"
      ],
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add pangolin-spg-pangolinfo-review-mining-mcp --command npx --arg -y --arg pangolinfo-review-mining-mcp
```

### Hermes

```yaml
mcp_servers:
  pangolin-spg-pangolinfo-review-mining-mcp:
    command: "npx"
    args: ["-y", "pangolinfo-review-mining-mcp"]
```

### Netclaw

```json
{
  "McpServers": {
    "pangolin-spg-pangolinfo-review-mining-mcp": {
      "Transport": "stdio",
      "Command": "npx",
      "Arguments": [
        "-y",
        "pangolinfo-review-mining-mcp"
      ]
    }
  }
}
```

### Vellum

```bash
assistant mcp add pangolin-spg-pangolinfo-review-mining-mcp -t stdio -c npx -a -y pangolinfo-review-mining-mcp
```

### Other

```json
{
  "mcpServers": {
    "pangolin-spg-pangolinfo-review-mining-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "pangolinfo-review-mining-mcp"
      ]
    }
  }
}
```

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-11-05 (score 71, +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.

### 2026-11-02 (score 70, +1)

- [functional improvement] Stability: unverified → 0.07

### 2026-11-01 (score 69, +15)

- [security improvement] Malware scan: unverified → pass

### 2026-10-31 (score 54, +16)

- [security regression] Malware scan: pass → unverified
- [security improvement] 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).
- [functional improvement] Tool coverage: unverified → 100
- [functional improvement] 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

### 2026-10-26 (score 38)

First indexed and scored.

## MCP tools (5)

### `get_product_reviews` (~190 tokens)

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.

Input parameters:

- `asin` (string, required): 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.

### `mine_complaints` (~176 tokens)

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.

Input parameters:

- `asin` (string, required): 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.

### `review_sentiment_summary` (~106 tokens)

Rating distribution, average star, negative/critical/positive shares, and a monthly sentiment trend for one ASIN's reviews. Pure local computation over fetched reviews.

Input parameters:

- `asin` (string, required): 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.

### `top_complaint_topics` (~113 tokens)

Ranked complaint themes across negative reviews for one ASIN, with counts, shares, and example review titles for traceability.

Input parameters:

- `asin` (string, required): 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.

### `review_mining_report` (~151 tokens)

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.

Input parameters:

- `asin` (string, required): 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.

## Diagnostics

Captured diagnostic sections: Provenance, Dependencies. The full working is on the page: https://verifymcp.io/servers/pangolin-spg-pangolinfo-review-mining-mcp/pangolinfo-review-mining-mcp#diagnostics

## Score history

- 2026-11-05: 71
- 2026-11-04: 70
- 2026-11-03: 70
- 2026-11-02: 70
- 2026-11-01: 69
- 2026-10-31: 54
- 2026-10-30: 38
- 2026-10-29: 38
- 2026-10-28: 38
- 2026-10-27: 38
- 2026-10-26: 38

## Common questions

### 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.

## Links

- npm package: https://www.npmjs.com/package/pangolinfo-review-mining-mcp
- Socket report: https://socket.dev/npm/package/pangolinfo-review-mining-mcp
- Repository: https://github.com/Pangolin-spg/pangolinfo-review-mining-mcp
- Website: https://www.pangolinfo.com/amazon-review-api/?utm_source=mcp-registry&utm_medium=referral
- Changelog RSS feed: https://verifymcp.io/servers/pangolin-spg-pangolinfo-review-mining-mcp/pangolinfo-review-mining-mcp.xml
- Changelog JSON feed: https://verifymcp.io/servers/pangolin-spg-pangolinfo-review-mining-mcp/pangolinfo-review-mining-mcp.json
- HTML version of this page: https://verifymcp.io/servers/pangolin-spg-pangolinfo-review-mining-mcp/pangolinfo-review-mining-mcp