MCP Overview
Pangolinfo MCP packs 19 Amazon / WIPO / PACER data tools into your AI Agent — zero install, zero dependencies, remote HTTP transport, works out of the box with Claude Code / Cursor / Cline / Windsurf / Codex / Hermes / OpenClaw.
What is Pangolinfo MCP
MCP (Model Context Protocol) is an open protocol released by Anthropic that lets any AI Agent call external tools through a unified interface.
Pangolinfo MCP wraps our 19 Amazon / WIPO / PACER data tools according to the MCP standard, giving your AI direct access to data scraping, market analysis, and IP screening capabilities. No more manual API calls, no copy-pasting — just tell your AI “summarize the pros and cons for B0DYTF8L2W” and it works.
For AI Agent Users
Add a single URL + API Key to your client config in Claude Code / Cursor / Cline, and the AI can directly invoke all 19 data tools.
For Developers
Under the hood it calls the same REST APIs (see Scrape API Docs). MCP is just the semantic layer for AI.
When to use MCP
| Scenario | Pangolinfo MCP | REST API |
|---|---|---|
| Scraping data inside an AI conversation | AI invokes directly, no context switching | Let AI write code → you copy-run → paste results back |
| Multi-tool chaining | AI auto-selects tools + chains results | Write orchestration yourself |
| Parameter discovery | AI validates via MCP tool schema automatically | Look up required fields in docs |
| Credential management | Configure once in your client | Inject API Key in every script |
| Cross-client | 7 mainstream clients share one config | Rewrite for every tool you switch to |
Rule of thumb: daily conversation / product research / IP screening → MCP; batch / CI / automation scripts → REST API. Both are backed by the same data.
Supported Clients
One config connects 7 mainstream AI Agents through remote HTTP transport:
Claude Code
Cursor
Cline
Windsurf
Codex
Hermes
OpenClaw
See Client Setup for per-client instructions.
19 Tools at a Glance
| Category | Count | Representative Tools |
|---|---|---|
| Amazon Core Data API | 4 | search_amazon / get_amazon_product / get_amazon_reviews / list_seller_products |
| Amazon Categories & Niche Analytics | 8 | filter_niches / filter_categories / search_categories / list_bestsellers / list_new_releases |
| Search & SERP AI | 3 | ai_search / keyword_trends / search_amazon_alexa (deprecated) |
| Maps & Places API | 1 | search_local_maps |
| WIPO & PACER IP Compliance API | 2 | wipo_search / pacer_search |
| MCP Introspection | 1 | pangolinfo_capabilities |
For full parameters / credit costs / field dependencies, see Tool Reference.
Next Steps
- Quickstart — 3 minutes to connect MCP to your AI Agent
- Client Setup — Config examples for all 7 clients
- Tool Reference — 19 tools with parameters + workflows
- FAQ — Tools not showing / API Key rotation / MCP vs API decision

