Pangolinfo Review Mining MCP

Pangolinfo Review Mining MCP

[Pangolinfo Review Mining MCP server]

A differentiated, review-mining-only MCP server for Amazon product reviews. It mines what buyers complain about, how sentiment trends, and which complaint themes dominate — it does not duplicate the general Pangolinfo Amazon Data MCP.

How it differs from the general Amazon Data MCP

If you need product search or anything beyond reviews, use the general MCP. If you need to know what buyers complain about and how that changes over time, use this one.

Architecture

MCP client (Claude Code, Cursor, Codex, ...)  └─ stdio ─► this server (src/index.ts)        └─ Streamable HTTP MCP client ─► https://mcp.pangolinfo.com/mcp              └─ upstream tool: get_amazon_reviews        └─ local analysis (src/analysis.ts): tagging, sentiment, topics

The server is a bridge plus analysis. It stores no API key and no review data; the key is sent only as an Authorization: Bearer header to the hosted server, taken from the environment.

Why a bridge instead of direct REST calls: the Pangolinfo docs page for the Review API lists parameters and response fields, but its request-URL and example blocks did not survive text extraction, so the direct REST endpoint is unconfirmed and deliberately not hardcoded here. The bridge path uses only confirmed facts: the hosted endpoint (https://mcp.pangolinfo.com/mcp, from the official amazon-data-mcp README) and the upstream get_amazon_reviews tool name + input schema (confirmed live via tools/list on 2026-10-26, a free metadata call). See TODOs below for the direct-REST follow-up.

Setup

Requirements: Node.js 18 or newer (developed/tested on Node 24).

npm installnpm run build

Run (live mode):

export PANGOLINFO_API_KEY="your-key-here"   # never commit a real keynode dist/src/index.js

Without a key the server still starts and answers initialize and tools/list; live tool calls fail with a clear message until PANGOLINFO_API_KEY is set.

Run (mock mode, no network, no key — for tests and demos):

PANGOLINFO_REVIEW_MINING_MOCK=1 node dist/src/index.js

MCP client configuration (example, Claude Code style):

{  "mcpServers": {    "pangolinfo-review-mining": {      "command": "node",      "args": ["/absolute/path/to/pangolinfo-review-mining-mcp/dist/src/index.js"],      "env": { "PANGOLINFO_API_KEY": "your-key-here" }    }  }}

Environment variables:

Tools (5, all review-mining only)

Complaint themes (English keyword heuristic, v1 — transparent, not a classifier): quality_defect, battery_power, connectivity, comfort_fit, sound_quality, shipping_delivery, returns_refunds, value_price, authenticity, app_software. Every match reports the keyword that fired.

Marketplaces (site): amz_us (default), amz_de, amz_uk, amz_jp, amz_fr, amz_it, amz_es, amz_br, amz_au, amz_mx, amz_in, amz_eg, amz_ae, amz_ca.

Billing

• The Review API is documented at 5 credits/page (docs "积点消耗： 5个/次" and per-page billing in bizContext.pageCount), and a measured Oct 2026 get_amazon_reviews call returned pointCost: 5 for one page.
• Discrepancy flagged: the upstream MCP tool description currently states 10 credits/page. This server does not resolve that discrepancy by assertion — every tool reports pointCost exactly as returned by the upstream response, and the billing note in each response names both figures.
• Free tier: 60 credits/month, recurring. At the measured 5/page rate that covers ~12 review pages/month; budget pageCount accordingly. review_mining_report makes two upstream fetches (all_stars + critical), so it costs twice one fetch.
• The stored Pangolinfo API key expired (measured 2026-10-24). Live end-to-end testing is pending on the key being reconnected; see TEST_REPORT.md.

Tests

npm test   # builds, then runs node --test on dist/test/

17 tests, all passing at build time (see TEST_REPORT.md): analysis unit tests, tool-handler tests against the mocked upstream, the Oct 12 baseline fixture test, and a stdio smoke test that spawns the real server in mock mode and speaks MCP JSON-RPC to it. All test review data is mocked (synthetic authors "Mock Reviewer A" …); the only real measured numbers in the repo are the aggregate baseline in fixtures/airpods-pro-3-baseline.json (4,268 total / 1,392 negative reviews for ASIN B0FQFB8FMG, measured 2026-10-12, reference only).

Limitations (read before presenting results as fact)

• Complaint tagging is an English keyword heuristic, not sentiment ML. Non-English reviews will under-match until lexicons for their languages are added.
• Star values come from strings like "5.0 out of 5 stars"; unparseable stars fall into unknown and are excluded from averages.
• Dates come from strings like "October 14, 2026"; unparseable dates fall into the unknown monthly bucket.
• totalReviews is returned by upstream as a string and may be empty when unavailable; it is passed through, not computed.
• review_mining_report fetches all_stars + critical, so its review counts are per-fetch, not a single de-duplicated sample.

Publication status (2026-10-26)

mcprush accepts MCP servers or agent skills only (verified 2026-10-26: its server wizard requires a repo / npm / PyPI / container / hosted MCP endpoint and passes initialize + tools/list verification).

• GitHub repo: live at https://github.com/Pangolin-spg/pangolinfo-review-mining-mcp
• npm package: pangolinfo-review-mining-mcp 0.1.1, published 2026-10-26 (0.1.0 was the first publish the same day; 0.1.1 adds the mcpName field required by the MCP Registry)
• mcprush listing: submitted 2026-10-26, in review (expected URL: https://mcprush.com/pangolin-spg/pangolinfo-review-mining-mcp)
• Server-card info needed: name, one-line description, and a paragraph of at least 120 characters on what it does and who it is for.
• Pricing: free plan (or priced plans with name, monthly price, call allowance); review takes up to two working days.
• No video/intro URL field was visible in the submission form's expanded steps during the read-only check; if one appears, the project's intro videos are the Pangolinfo EN/ZH videos on file.
• Backlink rule (standing): any link back to pangolinfo.com content in a listing must carry ?utm_source=<platform>&utm_medium=referral (plus utm_content=<product> when one platform carries several products) for GA4 referral attribution.

TODOs / unconfirmed items

1. Direct REST endpoint (unconfirmed): the docs page's request-URL and example blocks did not extract, and no workspace file records the Review API's REST URL. The bridge design avoids needing it, but a direct-REST mode should not be added until the URL is confirmed from docs or a measured call.
2. Live end-to-end test (done 2026-10-26): verified with a temporary 7-day key: get_product_reviews + mine_complaints on ASIN B0FQFB8FMG, 5 credits/page each, 4,446 total reviews / 1,457 critical at time of test.
3. Billing discrepancy (resolved 2026-10-26): live pointCost = 5/page; the upstream tool description's 10/page is stale.
4. Publish (done 2026-10-26): GitHub repo live, npm 0.1.0 published, mcprush listing submitted (in review).