Thingery
概览
作者提供的说明(英文原文)
Open item database and MCP server for AI agents to list, find, and trade second-hand goods.
PopNx MCP 的三大支柱
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
- 用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
- 我们的基础检查i1 项中通过 1 项依据公开信息检查;尚未扫描代码
- 使用情况i非常新↓ 162/周 · ★ –
它能帮你做什么
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
- 连接方式: 在你的电脑上运行
- 传输方式: stdio, Streamable HTTP
- 分类: 数据库与数据集
安装
选择你使用的 AI 应用,然后复制设置。
安装之前
- 基础检查:1 项中通过 1 项
- 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
- 注册中心没有列出需要填写的密钥。
你需要
- npm已安装 Node.js(用于 npx 命令)
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"thingery": {
"command": "npx",
"args": [
"-y",
"thingery"
]
}
}
}在终端中运行这条命令
claude mcp add thingery -- npx -y thingery或者自己复制设置
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"thingery": {
"command": "npx",
"args": [
"-y",
"thingery"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
或者自己复制设置
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"thingery": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"thingery"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它能做什么
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
基础检查i
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月8日
- ✓ 通过
作者与仓库一致
注册名称已通过 GitHub 账户 thingery 验证,该账户拥有此仓库
- … 尚未检查
仍在维护
我们还没有从 GitHub 读取这个仓库
- … 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
- – 不适用
端点有响应
它在你的电脑上运行,没有互联网端点
- – 不适用
使用 OAuth 登录
在你的电脑上运行,改用本地设置
- … 尚未检查
工具描述中没有隐藏指令
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与“数据库与数据集”中的其他服务器比较i
- 星标数多于此分类中其他 1144 个服务器的 0%
- 发布到注册中心的时间比此分类中其他 1144 个服务器的 76% 更新
- 基础检查结果等于或优于此分类中其他 1144 个服务器的 100%
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
常见问题
Thingery 安全吗?
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
它需要哪些密钥或代码?
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在我的电脑上运行还是在云端?
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
它还在维护吗?
GitHub 仓库最后更新于–,最新版本(0.1.3)于11天前进入注册中心。
哪些应用可以使用它?
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。
有什么可以替代它?
同一分类中有:Supabase, MongoDB MCP Server, Elasticsearch MCP Server
替代选择
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
作者的 README
打开 README
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
Thingery
Thingery is the open item database and MCP server for AI agents to list, find, and trade second-hand goods.
Say *"sell this"* to your AI assistant — it identifies the item, writes the listing, prices it, and publishes it. Say *"find me a used camera under €300"* — it searches every listing and proposes the best one. Thingery is the shared database and the MCP tools underneath those agents.
- Free for everyone. No take rate, no platform lock-in.
- Open source (Apache-2.0). Self-host the whole thing, or use the flagship instance.
- Agent-native: every capability is an MCP tool; any LLM can drive it.
- Self-hostable: Postgres + pgvector + Node 20.
Chinese-market name: 物坊 (Wùfāng).
MCP tools
| Tool | Auth | Purpose |
|---|---|---|
describe_category | public | List categories and their declared attribute fields — the self-describing schema for agents. Declared fields get validated on create; undeclared keys are allowed, searchable, and their real use is surfaced via undeclared_in_use |
search_items | public | Hybrid semantic + keyword search with price/category/condition/attribute filters (any attribute key, declared or not) |
get_item | public | Fetch one listing by id. Pending (photoless) listings are returned too — they carry needs_photo: true |
create_listing | seller | Publish an item — core fields plus a flexible attributes object (declared keys validated, extras pass through and stay searchable). Listings are hidden from search until they have at least one photo: a zero-image create succeeds but stays pending (visible: false + next_steps in the result) until a photo lands |
add_item_image | seller | Attach a photo to a listing (base64 in, stored server-side — no URLs needed; max 5 MB decoded). The first photo publishes a pending listing — the result's visible tells you. Images are re-encoded at ingest: metadata (EXIF/GPS/XMP) stripped, downscaled to ≤ 2000 px, animated GIFs stored as stills; large PNGs may be rejected — prefer JPEG |
my_listings | seller | Your listings by status |
update_listing | seller | Mark reserved/sold, adjust price, edit text or attributes |
Order flow
| Tool | Auth | Purpose |
|---|---|---|
get_payout_setup | seller | Stripe Express onboarding URL + status — optional, enables platform payment |
create_order | account | Order an item — returns a Stripe Checkout URL (stripe mode) or tracks an off-platform order |
get_order | account | One of your orders (buyer or seller side): status, tracking, deadlines |
cancel_order | account | Cancel while cancellable; paid orders refund instead |
record_tracking | seller | Record carrier + tracking code; auto carrier tracker when EasyPost is configured |
confirm_payment | seller | Confirm an off-platform payment (pending → sold) |
confirm_receipt | buyer | Confirm delivery — dispute window opens |
open_dispute | buyer | Dispute a delivered order; seller payout is held |
release_funds | buyer | Waive the dispute window, release the seller's payout now |
Orders close a deal on-platform. Stripe mode (buyer protection: platform charges the buyer, holds funds, pays the seller after delivery + dispute window) runs when the deployment has Stripe configured *and* the seller finished payout onboarding; otherwise orders run in off-platform mode — Thingery tracks state and deadlines, parties settle payment themselves. States: pending → sold → label_issued → in_transit → delivered → payout_pending → paid_out with disputed/cancelled/refunded off-ramps; deadlines are enforced by a server-side sweep (unpaid cancels 24h, dispute window 48h, never-shipped disputes auto-refund 72h — defaults, env-tunable). Design record: ADR 0003.
Sellers authenticate with OAuth (one-click sign-in from any MCP host — see below) or a thg_... API key (Authorization: Bearer); search is anonymous.
Buyer alerts (saved searches)
A buyer who finds nothing good can save the search as an intent; when a matching listing publishes later, their agent reads it as a match on the next session — no email, the buyer's agent pulls my_matches (design record: ADR 0006). Fan-out is bounded: each match is inserted at most once per (intent, item), at most 10 new matches per buyer per day, at most 100 per published listing, and a seller never matches their own listing.
| Tool | Auth | Purpose |
|---|---|---|
save_intent | account | Save what the buyer is looking for — a query and/or the same filters as search_items (at least one of the two; max 25 saved intents, 50 saves/day) |
my_intents | account | Your saved searches, newest first, each with its unread-match count and muted state |
update_intent | account | Mute or unmute a saved search — muting stops future matches; existing matches stay readable |
delete_intent | account | Delete a saved search; its matches go with it |
my_matches | account | New listings matching a saved search — unread_only, mark_read, limit 1–50 (default 10). Items carry content_provenance: "user_generated" |
Photo-required publishing
New listings need at least one photo to be visible to buyers — browse, search_items, and category counts all exclude photoless listings (a single derived predicate; design record: ADR 0005). What that means in practice:
create_listingwith zero images succeeds — the listing is created but pending: hidden from feeds, its item page shows placeholder art and isnoindex. The result carriesphoto_required,visible: false, andnext_stepspointing atadd_item_image(or the item page, where the owner can snap a photo in two taps).- The first photo publishes it — no second call needed.
add_item_imagereturnsvisible: true; pending items carryneeds_photo: trueeverywhere items are returned (get_item,my_listings, …). - Deleting the last photo returns the listing to pending (hidden again); pre-rollout listings are grandfathered and stay live without photos — on thingery.dev that means created before 2026-10-27; a self-hosted instance grandfathers whatever exists when it first deploys this version.
- Owners manage photos on the item page (upload, delete, reorder) via the session-cookie routes documented in docs/item-images.md.
Two ways to use it
- Zero-config (everyone): open `/chat.html` on any deployment and talk to the Thingery assistant — describe an item to sell or to find. Searching needs no account; publishing needs a free one (
/login.html, email + password; your MCP API key is shown after signup). The chat uses an LLM configured on the server (LLM_*env vars) — you bring the key, any OpenAI-compatible endpoint works; without it, chat is disabled while MCP and signup still work. - Bring your own agent (power users): point any MCP client at
/mcpand sign in with OAuth — Claude Desktop, ChatGPT connectors, VS Code and Inspector discover the sign-in flow automatically (RFC 9728 resource metadata + RFC 7591 dynamic client registration); you approve once on a consent screen and the host gets a rotatingthgo_token, with revoke-anytime at/apps. Prefer a key? The manualthg_...API key still works, and self-hosting is below (npx thingeryover stdio).
Quickstart
Pick your mode first — hosted and self-hosted expose the same MCP tools but not the same data: listings you create on the hosted service are visible to everyone; listings on your self-hosted instance live only in your database.
| Mode | Endpoint | Data | Best for |
|---|---|---|---|
| Hosted | https://thingery.dev/mcp | the shared public marketplace | first success in under a minute — nothing to install |
| Self-hosted | your own /mcp, or stdio | your Postgres, your data | private deployments, full control, hacking on it |
Mode A — hosted: search in one minute
No install. Add https://thingery.dev/mcp as a remote HTTP server in your MCP client (Claude Desktop, ChatGPT connectors, VS Code, Inspector — see Connect an MCP client below) and sign in with OAuth, or grab an API key at /login.html (free account; the thg_... key is shown after signup). Searching needs no account at all — verify the wire format with curl:
curl -s https://thingery.dev/mcp \
-H 'content-type: application/json' \ -H 'accept: application/json, text/event-stream' \ -d '{"jsonrpc":"2.0","id":1,"method":"tools/call", "params":{"name":"search_items","arguments":{"q":"Air Max"}}}'
Responses come back as Server-Sent Events; the JSON-RPC result is on the data: line.
Mode B — self-hosted: the npm package
The thingery npm package runs the whole server against your own Postgres. No git clone needed:
mkdir my-thingery && cd my-thingery
npm install thingery
1. a Postgres with the pgvector extension (Docker: `docker run -d -p 5432:5432 \
-e POSTGRES_PASSWORD=thingery pgvector/pgvector:pg16`; Homebrew: see below)
2. apply the shipped schema (idempotent, safe to re-run):
psql "postgres://postgres:thingery@localhost:5432/postgres" \ -f node_modules/thingery/db/schema.sql
3. run it (DATABASE_URL is the only required env var):
DATABASE_URL="postgres://postgres:thingery@localhost:5432/postgres" \ PORT=3000 node node_modules/thingery/dist/index.js
The server boots at http://localhost:3000 — /mcp, /browse, /healthz, and the HTTP API. Create your account by opening /login.html — your thg_... MCP key is shown right after signup. (On the pre-fix 0.1.2 release the page 404'd — a packaging gap fixed after it; there you can still create the account through the API — the key is returned exactly once, in the signup response:)
curl -s -X POST http://localhost:3000/api/signup \
-H 'content-type: application/json' \ -d '{"email":"you@example.com","password":"at-least-8-chars"}'
→ {"seller":{"name":"you","email":"…","api_key":"thg_…"}}
Then point any MCP client at http://localhost:3000/mcp with Authorization: Bearer thg_... — or spawn it over stdio with the npx config below.
Note: the npm package publishes at release cadence and can lag
mainon thingery.dev
by days —
/healthzreports the running version. If you need today's features,
self-host from source instead:
Self-hosted from source (development)
git clone https://github.com/thingery/thingery
cd thingery npm install docker compose up -d db # Postgres 16 + pgvector cp .env.example .env npm run db:migrate npm run db:seed # demo seller + 3 listings; prints an API key npm run dev # http://localhost:3000
No Docker? Local Postgres
npm run db:migrate needs a Postgres with the vector extension — the schema creates it unconditionally, even in keyword-only search mode. On macOS, Homebrew's pgvector bottle supports PostgreSQL 17 and 18 (not 16, the version the Docker setup uses — any of them works for Thingery):
brew install postgresql@18 pgvector
brew services start postgresql@18 psql postgres -c "CREATE ROLE thingery LOGIN PASSWORD 'thingery';" \ -c "CREATE DATABASE thingery OWNER thingery;" psql -d thingery
只显示了开头部分;其余内容请在仓库中阅读