Pangolinfo MCP 是 AI Skill Hub 本期精选MCP工具之一。综合评分 7.5 分,整体质量较高。我们推荐使用将其纳入你的 AI 工具库,帮助提升工作效率。
Pangolinfo MCP 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。
Pangolinfo MCP 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。
# 方式一:通过 Claude Code CLI 一键安装
claude skill install https://github.com/pangolinfo/pangolinfo-mcp
# 方式二:手动配置 claude_desktop_config.json
{
"mcpServers": {
"pangolinfo-mcp": {
"command": "npx",
"args": ["-y", "pangolinfo-mcp"]
}
}
}
# 配置文件位置
# macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
# Windows: %APPDATA%/Claude/claude_desktop_config.json
# 安装后在 Claude 对话中直接使用 # 示例: 用户: 请帮我用 Pangolinfo MCP 执行以下任务... Claude: [自动调用 Pangolinfo MCP MCP 工具处理请求] # 查看可用工具列表 # 在 Claude 中输入:"列出所有可用的 MCP 工具"
// claude_desktop_config.json 配置示例
{
"mcpServers": {
"pangolinfo_mcp": {
"command": "npx",
"args": ["-y", "pangolinfo-mcp"],
"env": {
// "API_KEY": "your-api-key-here"
}
}
}
}
// 保存后重启 Claude Desktop 生效
Pangolinfo MCP server — 20 Amazon e-commerce & IP data tools for AI assistants via Model Context Protocol.
Plug your favorite AI client (Claude Code, Cursor, Cline, Windsurf, Codex, Hermes, OpenClaw) into Pangolinfo's Amazon scrape APIs and let the AI run keyword research, listing analysis, review mining, niche discovery, category navigation, AI search lookups, keyword-trend checks, and WIPO trademark clearance — all from natural-language instructions.
⚠️ BREAKING CHANGE in 0.3.0 — tool renames (no backward-compatible aliases) | Old name (≤ 0.2.x) | New name (0.3.0+) | | --- | --- | |google_ai_search|ai_search| |google_trends|keyword_trends| Tool names changed to remove third-party brand references from the public MCP interface. Any prompts, SKILLs, or scripts pinning the old names will getToolNotFoundafter upgrading. Update your prompts to the new names. Tool parameters, return shape, and pricing are unchanged.
| **Version** | 0.6.1 |
| **Tools** | 20 (19 backend + 1 self-introspection) |
| **Transport** | stdio (MCP standard) |
| **Runtime** | Node.js 18+ |
| **License** | MIT |
| **Get an API key** | <https://tool.pangolinfo.com/> |
---
The Pangolinfo Installer detects your AI client, writes the right config files, and you're done. Pass --scope=mcp to install only this MCP server (skip the Skills package).
macOS / Linux
curl -fsSL https://pangolinfo.dev/install.sh | sh -s -- \
--agent=<your-agent> \
--scope=mcp \
--api-key=pgl_xxxxxxxxxxxx
Windows (PowerShell)
irm https://pangolinfo.dev/install.ps1 | iex; `
Install-Pangolinfo -Agent <your-agent> -Scope mcp -ApiKey pgl_xxxxxxxxxxxx
<your-agent> is one of: claude-code, cursor, cline, windsurf, codex, hermes, openclaw.
After the installer finishes, restart your AI client so it picks up the new mcpServers entry.
The release artifact is a single self-contained server.mjs (~800 KB) — all dependencies are bundled in. No npm install needed.
```bash
After restarting your AI client, ask it:
List all available pangolinfo MCP tools.
You should see 20 tools. Then try:
Use pangolinfo_capabilities with mode "summary".
This is a free local call — if it returns the tool catalog, your install is wired correctly. Next, run something paid like:
Search Amazon for "wireless mouse" and return the top 5 results.
Expected: ~0.75 credits deducted, ~300 KB of structured product data returned.
---
Replace /abs/path/to/pangolinfo-mcp/dist/server.mjs with your real path, and pgl_xxxxxxxx with your key.
{
"mcpServers": {
"pangolinfo": {
"command": "node",
"args": ["/abs/path/to/pangolinfo-mcp/dist/server.mjs"],
"env": { "PANGOLINFO_API_KEY": "pgl_xxxxxxxx" }
}
}
}
Prefer claude mcp add --scope user pangolinfo node /abs/path/to/dist/server.mjs — it writes the same entry without hand-editing JSON.
{
"mcpServers": {
"pangolinfo": {
"command": "node",
"args": ["/abs/path/to/pangolinfo-mcp/dist/server.mjs"],
"env": { "PANGOLINFO_API_KEY": "pgl_xxxxxxxx" }
}
}
}
[mcp_servers.pangolinfo]
command = "node"
args = ["/abs/path/to/pangolinfo-mcp/dist/server.mjs"]
[mcp_servers.pangolinfo.env]
PANGOLINFO_API_KEY = "pgl_xxxxxxxx"
mcp_servers:
pangolinfo:
command: node
args: ["/abs/path/to/pangolinfo-mcp/dist/server.mjs"]
env:
PANGOLINFO_API_KEY: pgl_xxxxxxxx
pgl_xxxxxxxx key from the dashboardpangolinfo_capabilities is free)---
Open Cline → MCP Servers → Edit settings JSON, then add:
{
"mcpServers": {
"pangolinfo": {
"command": "node",
"args": ["/abs/path/to/pangolinfo-mcp/dist/server.mjs"],
"env": { "PANGOLINFO_API_KEY": "pgl_xxxxxxxx" }
}
}
}
The settings file lives at <vscode-user>/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json. If you're on the standalone Cline CLI, use ~/.cline/data/settings/cline_mcp_settings.json instead.
高质量的MCP工具,适用于AI助手的电商数据处理
AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。
建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。
✅ MIT 协议 — 最宽松的开源协议之一,可自由商用、修改、分发,仅需保留版权声明。
经综合评估,Pangolinfo MCP 在MCP工具赛道中表现稳健,质量良好。如果你已有明确的使用需求,可以直接上手体验;如果还在评估阶段,建议对比同类工具后再做决策。
| 原始名称 | pangolinfo-mcp |
| 原始描述 | 开源MCP工具:Pangolinfo MCP server — Amazon e-commerce data tools for AI assistants via MCP p。⭐5 · TypeScript |
| Topics | mcptypescripte-commerce |
| GitHub | https://github.com/pangolinfo/pangolinfo-mcp |
| License | MIT |
| 语言 | TypeScript |
收录时间:2026-06-01 · 更新时间:2026-06-02 · License:MIT · AI Skill Hub 不对第三方内容的准确性作法律背书。
选择 Agent 类型,复制安装指令后粘贴到对应客户端