Context7
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Beschreibung vom Entwickler (englisches Original)
Read MyFigureCollection.net: search figures, JAN barcode lookup, shop prices, collections and clubs.
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
Du brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Öffne Claude Desktop → Settings → Developer → Edit Config und füge dies in claude_desktop_config.json ein
{
"mcpServers": {
"myfigurecollection-api": {
"command": "uvx",
"args": [
"myfigurecollection-api"
]
}
}
}Führe das in deinem Terminal aus
claude mcp add myfigurecollection-api -- uvx myfigurecollection-apiIn .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"myfigurecollection-api": {
"command": "uvx",
"args": [
"myfigurecollection-api"
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"myfigurecollection-api": {
"type": "stdio",
"command": "uvx",
"args": [
"myfigurecollection-api"
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
Dieser Server läuft auf deinem Computer, und ChatGPT kann sich nur mit Servern im Internet verbinden. Wähle eine andere App.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
Diese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Läuft auf deinem Computer; die Tool-Liste erscheint nach der Installation in deiner KI-App.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 7. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto ssskay bestätigt, dem das Repo gehört
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieser Server läuft auf deinem Computer; es gibt keinen Endpunkt im Internet
Läuft auf deinem Computer und nutzt stattdessen lokale Einstellungen
Läuft auf deinem Computer; Tool-Listen können wir nur von Endpunkten im Internet lesen
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 1 von 1 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.
Er läuft auf deinem Computer. Deine KI-App startet ihn bei Bedarf, und die Daten laufen nicht über die Server des Entwicklers (außer der Server ruft selbst einen Onlinedienst auf).
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (0.1.1) kam vor 3 Monaten in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du Python (uv) auf deinem Computer.
In derselben Kategorie: Context7, Codebase Memory, Exa
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
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Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
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.
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.
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")]
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.
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.
| Tool | What 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.
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.
| Environment variable | Default | Meaning |
|---|---|---|
MFC_API_RATE_LIMIT | 1.0 | Seconds between requests |
MFC_API_CACHE_TTL | 3600 | Cache lifetime in seconds; 0 disables |
MFC_API_CACHE_DIR | ~/.cache/mfc-api | Where cached pages live |
MFC_API_LOG_LEVEL | WARNING | Server log level (logs go to stderr) |
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)
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
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.
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)
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.
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.
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:
if_not_archived_within=7d, so the Archive enforces the same window even if the ledger is lost.Retry-After honoured on a 429.| Setting | What it does |
|---|---|
MERCH_ARCHIVE=0 | Kill 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_LEDGER | Ledger path, shared across sibling clients so one pass keeps one honest cadence per URL. |
| `MFC_ARCHIVE_LE
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