官方说明7 个来源MCP 服务8 天前

apiguru-app/agent-kit

Live Amazon marketplace data

配置模板（请按你的客户端调整）

claude mcp add agent-kit -- npx -y agent-kit

这是根据仓库名生成的可粘贴骨架，命令行参数与包名请以该项目 README 为准。

★ 数取值: 0 ★ · apiguru-app/agent-kit · 取自该仓库的 GitHub 页面 · （2026-10-16 20:00:20 核对）
来源明细: 收录自 punkpeye/awesome-mcp-servers 榜单（我们从中收集的条目之一） · 条目类型：MCP 服务
收录与活跃: 收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
评分构成: 综合分 703 · 7 个来源 · mcp

常见问题（答案都来自我们的记录）

怎么安装？

我们【没有】从该仓库取到安装命令（我们的 install 覆盖率只有约 4%）。请看它的 README 或 releases 页。

它适合谁 / 用来做什么？

我们把它归在这些标签下: MCP 服务。标签来自条目自身，不是我们强加的分类。

谁维护它、还在更新吗？

仓库 apiguru-app/agent-kit；我们收录于 2026-10-09；最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。

第三方质量标记

Apiguru Agent Kit

以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →

Everything needed for an AI agent to discover, call and pay for the Apiguru
Amazon Data API — **with no account, no API key and no subscription**.
Try it -- no signup, no headers:
That returns the live product record (title, price, rating, variants) as JSON,
with _links to its reviews and offers. Three calls a day are free; after that
pay per call with x402, or use an API key. Agents start at
.
Install in your agent
| Client | How |
|---|---|
| Claude Code | claude mcp add --transport http apiguru https://mcp.apiguru.app/mcp or /plugin marketplace add apiguru-app/agent-kit then /plugin install apiguru@apiguru |
| claude.ai, Claude Desktop, ChatGPT | add connector https://mcp.apiguru.app/account and sign in |
| Codex CLI | codex mcp add apiguru --url https://mcp.apiguru.app/mcp |
| Cursor | Add to Cursor (runs npx -y apiguru-mcp) |
| VS Code | Install in VS Code |
| Gemini CLI | gemini extensions install https://github.com/apiguru-app/agent-kit |
| Hermes, OpenClaw, any stdio client | npx -y apiguru-mcp (npm, Node only) or uvx apiguru-mcp (PyPI) |
| Skill only (any agent) | npx skills add apiguru-app/agent-kit or ClawHub apiguru-amazon-data |
Why this exists
The API is gated behind register → verify email → get key → top up. Every step
assumes a human. Agents cannot do any of it, so agent traffic bounces off the
front door.
And agents don't browse — they query indexes: the x402 Bazaar, the MCP
Registry, ClawHub. Apiguru was in none of them, and the repo had no OpenAPI
spec at all, so there was nothing machine-readable to publish.
Telling us what is broken
Agents are the ones who find the defects in this API, so there are two ways
back to us and neither costs anything:
- **GitHub issues — preferred:**
. A thread can hold a
reply, and a fix gets linked back to it.
- **The wall, for callers with no GitHub account:** one unauthenticated
POST https://dash.apiguru.app/api/v1/feedback with
{"message": "...", "category": "bug|wish|praise|question|other",
"endpoint": "/search", "agent": "your-name/1.0", "contact": "optional"}.
No key, no signup, never billed. Read it at
, or GET the same URL for JSON.
- Over MCP: the free send_feedback tool. From the skill:
python scripts/probe.py feedback --message "..." --category bug.
This is not decoration. 1.1.3 exists because an agent reported that search
returned the brand as product_title, null for every