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Myfigurecollection API

de ssskayversión 0.1.1i★ –iSe ejecuta en tu computadora
Nombre en el registroio.github.ssskay/myfigurecollection-api

Instalar

Resumen

Descripción del creador (original en inglés)

Read MyFigureCollection.net: search figures, JAN barcode lookup, shop prices, collections and clubs.

Los tres pilares de PopNx MCP

Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.

Qué puedes hacer con él

Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.

  • Conexión: Se ejecuta en tu computadora
  • Transporte: stdio
  • Categoría: Búsqueda y memoria de IA

Instalación

Elige la app de IA que usas y copia la configuración.

Antes de instalar

Necesitas

  • PyPIuv de Python instalado (para el comando uvx)

¿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": {
    "myfigurecollection-api": {
      "command": "uvx",
      "args": [
        "myfigurecollection-api"
      ]
    }
  }
}

Ejecuta esto en tu terminal

claude mcp add myfigurecollection-api -- uvx myfigurecollection-api

Abrir en Cursor

O copia la configuración tú

Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json

{
  "mcpServers": {
    "myfigurecollection-api": {
      "command": "uvx",
      "args": [
        "myfigurecollection-api"
      ]
    }
  }
}

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.

Abrir en VS Code

O copia la configuración tú

Pégalo en .vscode/mcp.json de tu proyecto

{
  "servers": {
    "myfigurecollection-api": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "myfigurecollection-api"
      ]
    }
  }
}

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.

Qué puede hacer

Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.

Revisiones básicasi

Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026

  • ✓ Superada

    El creador coincide con el repo

    El nombre en el registro se verificó con la cuenta de GitHub ssskay, dueña del repo

  • … Aún sin revisar

    Sigue en mantenimiento

    Todavía no hemos leído este repo en GitHub

  • … Aún sin revisar

    Tiene licencia

    Todavía no hemos leído este repo en GitHub

  • – No aplica

    El endpoint responde

    Este se ejecuta en tu computadora; no hay endpoint en internet

  • – No aplica

    Inicio de sesión con OAuth

    Se ejecuta en tu computadora y usa ajustes locales en su lugar

  • … Aún sin revisar

    Sin instrucciones ocultas en las descripciones de herramientas

    Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet

Comparado con otros en Búsqueda y memoria de IAi

  • Más estrellas que el 0% de los otros 7275 servidores de esta categoría
  • Publicado en el registro más recientemente que el 26% de los otros 7275 servidores de esta categoría
  • Revisiones básicas iguales o mejores que el 100% de los otros 7275 servidores de esta categoría

Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.

Preguntas frecuentes

¿Es seguro Myfigurecollection API?

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.

¿Qué claves o códigos necesita?

El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.

¿Se ejecuta en mi computadora o en la nube?

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).

¿Sigue en mantenimiento?

El repo de GitHub cambió por última vez –, y la última versión (0.1.1) llegó al registro hace 3 meses.

¿Qué apps pueden usarlo?

Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Python (uv) en tu computadora.

¿Qué puedo usar en su lugar?

En la misma categoría: Context7, Codebase Memory, Exa

Alternativas

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

Context7

de upstash

Up-to-date docs for AI agents

Computadora o nube★ 64.224MITActualizado ayer
Instalar

Codebase Memory

de DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Se ejecuta en tu computadora★ 48.148MITActualizado hace 21 días
Instalar

Exa

de exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Se ejecuta en la nube★ 5213MITActualizado el mes pasado
Instalar

README del creador

Abrir el README

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.

myfigurecollection-api

Install: pip install myfigurecollection-api · all formats & checksums

An unofficial MyFigureCollection.net API: a Python library plus a local MCP server, so agents can read figure data, collections, lists and clubs.

MFC has no working public API. Its own API club (#349) has been promising "API v4 coming soon" for eight years. This package reads the public HTML instead, and turns it into typed models.

New here? The short version

MyFigureCollection is the largest catalog of anime figures and merch on the internet, and for years there has been no good way for a program to read it. This project fixes that on your own computer. You install it once, and an AI assistant like Claude can then look things up on MFC for you: "how much is this figure at AmiAmi?" or "list every Chiikawa item releasing in October."

sequenceDiagram

participant You participant Claude participant api as mfc-api, on your computer participant MFC as myfigurecollection.net You->>Claude: How much is the Alice Carroll figure? Claude->>api: get_partner_listings(287) api->>MFC: fetch the item's Buy window MFC-->>api: HTML api-->>Claude: AmiAmi · Available · ¥11,980 Claude-->>You: AmiAmi has it in stock for ¥11,980

What is MCP? The Model Context Protocol is a standard plug for giving AI assistants new abilities. An MCP server is a small program on your machine that an assistant is allowed to call. This one gives your assistant 12 MFC abilities, from item search to barcode lookup. Adding it takes one snippet in a config file, shown in Use it as an MCP server.

Why not use MFC's official API? There isn't one. The site's own API club has been waiting for it since 2018.

Why isn't this a website I can visit? Cloudflare guards MFC and decides who gets in partly by IP reputation. It trusts connections from home computers and distrusts servers, so a hosted version would get blocked within days while a copy on your own machine keeps working. That constraint shaped the whole design.

Do I need to know Python? Two terminal commands to install (below). After that your assistant does the driving.

Why this exists (and why the obvious approach fails)

MFC is behind Cloudflare, which blocks on TLS fingerprint — not user-agent. requests, httpx and aiohttp all get a 403 "Just a moment..." challenge no matter what headers you send. That is why the older tenji scraper stopped working; its parsers never even received HTML.

This package uses curl_cffi with impersonate="chrome", which reproduces a real Chrome handshake and gets a 200. That choice is load-bearing. Swapping in a normal HTTP client will break everything.

It is also why this ships as a *local* tool rather than a hosted service: Cloudflare weights IP reputation, so a scraper on datacenter IPs gets challenged and burns the shared address for everyone. Run it on your own machine.

flowchart LR

A["requests / httpx / aiohttp (any headers you like)"] -->|"403 Just a moment..."| CF{Cloudflare} B["Your browser"] -->|200| CF C["mfc-api via curl_cffi (Chrome TLS handshake)"] -->|200| CF CF --> MFC[("myfigurecollection.net")]

Install

This needs Python 3.10+. The package is on PyPI:

pip install myfigurecollection-api

On a Mac, python3 is often Xcode's 3.9, which will not run this code, so be explicit about the interpreter (e.g. pip3.12). Working from a clone instead, use pip3.12 install -e ..

Then check it landed:

mfc-api item 287

If mfc-api isn't found, your shell's python3 bin directory isn't on PATH. Find the script with python3.12 -c "import sysconfig; print(sysconfig.get_path('scripts'))" and use that absolute path.

Use it as an MCP server

mfc-api with no arguments starts the MCP server on stdio. Add this to your MCP config — ~/Library/Application Support/Claude/claude_desktop_config.json for Claude Desktop, or .mcp.json in your project for Claude Code:

{

"mcpServers": { "myfigurecollection": { "command": "uvx", "args": ["myfigurecollection-api"] } } }

This needs uv installed; uvx fetches the package from PyPI on first run, so there is nothing else to set up.

No uv? Point command at the installed script by its absolute path, e.g. /Library/Frameworks/Python.framework/Versions/3.12/bin/mfc-api. The path must be absolute because MCP clients launch servers with a minimal PATH that does not include your shell's Python bin directory — a bare "command": "mfc-api" will fail even though it works in your terminal.

Tools
ToolWhat it returns
get_item(item_id)Full item: category, picture, origins, characters, companies, artists, releases (date / edition / price / barcode), scale, height, rating, owner counts
search_items(query, page, category_id)50 items per page, with pagination
search_by_barcode(barcode)Item lookup by JAN/UPC — the join key for matching an item across stores
get_partner_listings(item_id)Which partner shops sell an item, with availability and price
get_shop(shop_id)Homepage, location, shipping, rating, review and item counts
search_shops(keywords, page, average_score, partners_only)The shop directory, 10 per page
get_profile(username)Join date, hits, rank, about fields, per-category collection counts
get_collection(username, status, page)50 items per page; status is owned, ordered, wished or favorites
get_user_lists(username, page)A user's published item lists
get_list(list_id, page)A list's owner, description, tags and items
get_club(club_id)Description, threads, recent comments, staff, members
get_club_members(club_id, page)The full member roster

get_club is new — tenji never had it.

Two things to know about store data

Prices only exist where MFC has a barcode. get_partner_listings returns every partner shop, but MFC can only check real stock for items whose JAN it recorded. For an item with no barcode, all 32 partners come back as maybe_available with no price. That means "not checked", not "in stock". Filter on availability == "available".

`search_by_barcode` is a lookup, not a search. A known barcode returns the full item under item with matched: true. An unknown one returns matched: false — which includes barcodes that are real but that MFC simply never recorded, common for Western releases.

Configuration
Environment variableDefaultMeaning
MFC_API_RATE_LIMIT1.0Seconds between requests
MFC_API_CACHE_TTL3600Cache lifetime in seconds; 0 disables
MFC_API_CACHE_DIR~/.cache/mfc-apiWhere cached pages live
MFC_API_LOG_LEVELWARNINGServer log level (logs go to stderr)

Use it as a library

from mfc_api import MFCClient, CollectionStatus

with MFCClient() as mfc: item = mfc.get_item(287) print(item.name) # Aria - Alice Carroll - Maa - 1/6 (Toy's Works) print(item.releases[0].price) # 6980.0 print([c.name for c in item.characters]) # ['Alice Carroll', 'Maa']

collection = mfc.get_collection("Climbatize", status=CollectionStatus.OWNED) print(collection.stats.owned, collection.pagination.total_pages)

Walk every page, politely (one request per second)

for page in mfc.iter_collection("Climbatize", max_pages=3): print(page.pagination.current_page, len(page.items))

Everything under one origin or character (library and CLI only — not an MCP tool):

with MFCClient() as mfc:

page = mfc.get_entry_items(237138) # Chiikawa, oldest first, 50 per page print(page.pagination.total_items) # 7247 item = mfc.get_item(page.items[0].id) print(item.picture_large) # full-size upload/items/2/ picture

Item.picture is a 256px preview; Item.picture_large is the original upload. transport.get_bytes(url) fetches a picture through the same rate limiter, and a 429 raises MFCRateLimitedError carrying retry_after instead of being retried.

Barcode in, prices out:

from mfc_api import MFCClient

with MFCClient() as mfc: match = mfc.search_by_barcode("4543341130624") if match.matched: for listing in mfc.get_partner_listings(match.item.id).available: print(listing.shop_name, listing.price, listing.currency) # AmiAmi 11980.0 JPY

Use it from the shell

mfc-api item 287
mfc-api barcode 4543341130624
mfc-api listings 287
mfc-api shops Japan --partners
mfc-api collection Climbatize --status owned --page 2

Everything prints JSON on stdout; logs go to stderr. mfc-api --help lists every subcommand. mfc-api-cli is kept as an alias.

Archiving an item page to the Wayback Machine

A price or a listing you read today is uncitable tomorrow: the page will have moved on, and nobody has to take your word for what it said. archive=True files the public item page with the Internet Archive's Save Page Now and attaches the result to the item.

with MFCClient() as mfc:

item = mfc.get_item(287, archive=True) print(item.releases[0].price, item.archive.wayback_url)

6980.0 https://web.archive.org/web/20260903081500/https://myfigurecollection.net/item/287

Three things fall out of one hook: a price-history series accumulates as a byproduct of ordinary reads, every row becomes auditable by someone who does not trust you, and the data survives the site. That last one is not hypothetical — tenji died, and Mandarake went dark in September 2026.

It never breaks a read. A failure is a row, not an exception: item.archive.status is one of success, already (a recent capture existed, so the Archive declined to make another — still a preservation success), skipped, pending, or failed with a reason. If the Internet Archive is down you still get the item.

Nothing about a person is ever archived

Most of MFC is people. is_public_item_url is a whitelist of /item/ with no query string, so profiles, collections, user lists and club rosters are refused before any request is made:

mfc.snapshot("https://myfigurecollection.net/item/287")       # captured

mfc.snapshot("https://myfigurecollection.net/profile/someone") # skipped, never sent

A whitelist rather than a blacklist on purpose: a new personal URL shape cannot leak through something that only lists what to keep.

It is opt-in for a reason

Reads default to archive=False, and archiving is meant to run as its own deliberate pass over the items you actually care about — not inline in a latency-sensitive loop:

  • Weekly cadence. A JSON ledger records when each URL was last captured; anything captured in the last 7 days is skipped without a request. Weekly is plenty of resolution for a price curve and much gentler on both the Archive and MFC. The submit also carries if_not_archived_within=7d, so the Archive enforces the same window even if the ledger is lost.
  • Serialized, one every 6 seconds, with a per-run cap of 50, and Retry-After honoured on a 429.
SettingWhat it does
MERCH_ARCHIVE=0Kill switch — disables every snapshot in the process. Shared with the sibling merch clients, so one variable turns archiving off across a bulk run.
MERCH_ARCHIVE_LEDGERLedger path, shared across sibling clients so one pass keeps one honest cadence per URL.

| `MFC_ARCHIVE_LE

Solo se muestra el principio; lee el resto en el repo

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