Official description7 sourcesMCP servers8d ago

apiguru-app/agent-kit

Live Amazon marketplace data

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Config template (adjust for your client)

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

A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.

Star count: 0 ★ · apiguru-app/agent-kit · read from the repository page · (checked 2026-10-16 20:00:20)
Source: collected from the punkpeye/awesome-mcp-servers list · type: MCP server
Harvest history: first seen 2026-10-09 · last seen 2026-10-16 · seen 32× · listed by 7 sources
Score: score 703 · 7 sources · mcp

FAQ (answers come from our records)

How do I install it?

We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.

Who is it for?

We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.

Who maintains it?

repository apiguru-app/agent-kit；first catalogued 2026-10-09；last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.

Third-party quality signals

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