Midpoint Card Prices
Measured conclusion: Alive, not deep-tested. L2 outcome: not_attempted.
Trading card prices and grading ROI for 1.5M+ Pokémon, Magic, Yu-Gi-Oh! and sports cards. Read-only.
| Author | com.cardcenteringtool |
|---|---|
| Access | remote |
| Publisher key required | No |
| Measured state | Alive, not deep-tested |
| L1 liveness | alive |
| L1 latency | 553 ms |
| Last measured | 2026-10-26 |
Add to your agent
Copy this into your MCP client config:
{
"mcpServers": {
"Midpoint Card Prices": {
"url": "https://mcp.cardcenteringtool.com/mcp",
"transport": "streamable-http"
}
}
}
Measured tools (9)
search_cardsread-onlyUse this first when the user names a trading card and wants its value, price, or whether to grade it. Searches 1.5M+ Pokémon, Magic, Yu-Gi-Oh!, One Piece, Lorcana, sports (baseball, basketball, football, hockey, soccer, wrestling, UFC and more) and entertainment cards by name, set, number and year, returning ungraded and PSA 10 market prices in USD from real sold listings. Returns card ids for get_card_prices, grading_roi and get_price_history. Do not use for sealed product, for cards you already have an id for, or for price prediction.
Parameters:
query(required) — string — Card name, optionally with set, number or year. Examples: "Umbreon VMAX Evolving Skies", "1986 Fleer Jordan", "Charizard base set 4/102".game— string — Restrict to one game or sport. Omit when unsure.limit— integerset_id— string — Expansion id from list_sets, to search inside one set.
Hints: read-only yes · destructive no · idempotent yes · open-world no
get_card_pricesread-onlyUse this when the user wants the full current value of a specific card: ungraded prices by condition (NM/LP/MP/HP) and graded prices for every company and grade on record (PSA, CGC, BGS, SGC, TAG). Requires a card id from search_cards. Prices are USD market values from real sold listings, refreshed daily. Do not use to search by name.
Parameters:
card_id(required) — string — Catalog card id from search_cards, e.g. "swsh7-215" or "pricecharting-1821843".
Hints: read-only yes · destructive no · idempotent yes · open-world no
grading_roiread-onlyUse this when the user asks whether a card is worth grading, submitting to PSA/CGC/BGS/SGC/TAG, or what a PSA 10 adds. Returns raw vs PSA 9 vs PSA 10 market prices, the gem premium, net profit after grading fees per outcome, expected value by gem probability, the break-even gem rate, which company pays most, and a plain-language verdict. Requires a card id from search_cards. It does not assess the condition of the user's copy.
Parameters:
card_id(required) — string — Catalog card id from search_cards.grading_fee_usd— number — Grading fee to assume. Defaults to a $25 economy tier; the table also shows $50 and $150.
Hints: read-only yes · destructive no · idempotent yes · open-world no
get_price_historyread-onlyUse this when the user asks how a card's price has changed over weeks or months, or wants a trend for the raw or a PSA-graded series. Returns dated USD market values for the last 7 to 180 days. Requires a card id from search_cards. Do not use for forecasts.
Parameters:
card_id(required) — string — Catalog card id from search_cards.days— integergrade— string — PSA grade for a graded series, e.g. "10" or "9". Omit for the raw (ungraded) series.
Hints: read-only yes · destructive no · idempotent yes · open-world no
best_cards_to_graderead-onlyUse this when the user asks which cards in a game, sport or set have the biggest payoff from grading. Ranks priced cards by expected net profit at a 50% gem rate (half PSA 10, half PSA 9, minus raw and the fee), requiring both PSA 9 and PSA 10 prices so thin-market outliers are excluded. Returns card ids for grading_roi. Do not use for a single named card.
Parameters:
game(required) — string — Game or sport to rank.limit— integerset_slug— string — Optional set slug (as used on /sets/<game>/<slug>) to rank inside one set.grading_fee_usd— number — Grading fee to assume. Defaults to $25.
Hints: read-only yes · destructive no · idempotent yes · open-world no
trending_cardsread-onlyUse this when the user asks which cards are rising, hot, spiking, crashing or trending, in one game or across all games. Returns the biggest 30-day gainers (or drops) with the percentage change, measured on the PSA 10 price where the card has one and on the raw price otherwise; moves over 300% are excluded as bad data. Do not use for a single named card or for long-term history.
Parameters:
game— string — Restrict to one game or sport; omit for all.limit— integerdirection— string — "up" = biggest gainers, "down" = biggest drops.min_market_usd— number — Ignore cards whose raw price is below this.
Hints: read-only yes · destructive no · idempotent yes · open-world no
liquid_moversread-onlyUse this when the user wants cards that are both rising in price and easy to sell: recent gainers filtered to cards with at least 25 recorded sales a year and a raw price of at least $5, across all games and sports. Better than trending_cards for flipping or selling decisions. Do not use for a single named card.
Parameters:
game— string — Restrict to one game or sport; omit for all.limit— integerinclude_unknown_volume— boolean — Also include cards whose yearly sales count is not tracked (mostly Pokémon from the Scrydex source). Off by default so every result has a verifiable sales figure.
Hints: read-only yes · destructive no · idempotent yes · open-world no
list_setsread-onlyUse this to find the set id for a game or sport (e.g. "Evolving Skies", "2019 Panini Prizm") before calling get_set_cards, or when the user asks which sets exist. Newest first. Do not use to price a single card.
Parameters:
game(required) — stringlimit— integerquery— string — Optional substring to filter set names, e.g. "evolving" or "2019 prizm".
Hints: read-only yes · destructive no · idempotent yes · open-world no
get_set_cardsread-onlyUse this when the user wants the most valuable cards in a specific set or a priced checklist of a set. Requires a set id from list_sets. Returns raw and PSA 10 USD prices per card. Do not use for a single named card; use search_cards instead.
Parameters:
game(required) — stringset_id(required) — string — Expansion id from list_sets.sort— string — "value" = most valuable first; "number" = checklist order.limit— integer
Hints: read-only yes · destructive no · idempotent yes · open-world no
Measured by MCPYP probing. Untested fields are omitted, never estimated. Listing is always free; MCPYP never proxies calls or stores user tokens.