Supabase
MCP server for interacting with the Supabase platform
Descripción del creador (original en inglés)
Open item database and MCP server for AI agents to list, find, and trade second-hand goods.
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
Necesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json
{
"mcpServers": {
"thingery": {
"command": "npx",
"args": [
"-y",
"thingery"
]
}
}
}Ejecuta esto en tu terminal
claude mcp add thingery -- npx -y thingeryPégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"thingery": {
"command": "npx",
"args": [
"-y",
"thingery"
]
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"thingery": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"thingery"
]
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 6 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub thingery, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.
Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).
El repo de GitHub cambió por última vez –, y la última versión (0.1.3) llegó al registro hace 9 días.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Node.js en tu computadora.
En la misma categoría: Supabase, MongoDB MCP Server, Elasticsearch MCP Server
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
MCP server for interacting with the Supabase platform
MongoDB Model Context Protocol Server
MCP server for interacting with Elasticsearch
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
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.
Chinese-market name: 物坊 (Wùfāng).
| 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 |
| 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.
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" |
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_listing with zero images succeeds — the listing is created but pending: hidden from feeds, its item page shows placeholder art and is noindex. The result carries photo_required, visible: false, and next_steps pointing at add_item_image (or the item page, where the owner can snap a photo in two taps).add_item_image returns visible: true; pending items carry needs_photo: true everywhere items are returned (get_item, my_listings, …)./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./mcp and 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 rotating thgo_ token, with revoke-anytime at /apps. Prefer a key? The manual thg_... API key still works, and self-hosting is below (npx thingery over stdio).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 |
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.
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
psql "postgres://postgres:thingery@localhost:5432/postgres" \ -f node_modules/thingery/db/schema.sql
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"}'
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:
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
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
Solo se muestra el principio; lee el resto en el repo