Compare what a trading-card seller keeps across eBay, Pulltrader, and other card marketplaces.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Inspect callable tools, capabilities, and parameters exposed to AI agents by Pulltrader Seller Economics.
identify_cardCanonical fields (player/athlete, year, set, number, parallel, grader, grade, category) plus a confidence level and which fields resolved. Takes `query` only. Does not price the card.
search_card_salesA capped sample of recent comparable sold sales (price + date) plus a market snapshot. Optional `limit`.
summarize_card_marketCanonical market value: median, mean, p10βp90, volatility, sample size, confidence.
get_card_price_historyA chart-ready time series with a trend. Optional `interval`: `day` \
compare_selling_costsEstimated fees and net proceeds for one sale across selling methods, with a per-method fee breakdown, the difference vs the eBay baseline, and the assumptions used. Requires `sale_price`.
calculate_required_sale_priceThe per-item price needed to reach a target take-home (or net profit, when `acquisition_cost` is given) on a single method. Requires `target_net`.
Identify a card, pull recent sold comps, summarize its market value, chart its price history, and compare what a seller keeps across eBay, Pulltrader, and other card marketplaces β inside your AI assistant.
A public, read-only Model Context Protocol server for trading-card research and selling. Seven tools: four back onto Scout's card data (identification, comparable sold sales, market value, price history), three run Pulltrader's deterministic seller-economics engine over a dated, versioned fee schedule.
Market figures are estimates derived from recent sales. Fee math is deterministic β the server computes it and never asks the model to infer fees from prose. eBay figures are clearly labeled estimates.
POST /mcp)https://mcp.pulltrader.app/mcpapp.pulltrader/seller-economics2025-06-18 (the client's requested version is echoed when present)Trading-card sellers, dealers, shops, and collectors who want to know what a card is, what it's worth, and what they'd actually take home selling it β without leaving their assistant.
| Does | Doesn't |
|---|---|
| Resolve a prose card description into structured fields | Identify a card from an image (text only) |
| Return recent comparable sold sales (price + date) | Return listing, affiliate, or per-sale outbound URLs |
| Summarize market value: median, mean, p10βp90, volatility, confidence | Claim a guaranteed value or give financial advice |
| Chart price history by day / week / month with a trend | Make any write, order, or account change |
| Estimate seller fees and net proceeds per selling method | Claim one platform is universally cheapest |
| Solve for the price needed to hit a target net | Model auction formats (hammer, buyer's premium, consignment) |
| State its assumptions, data freshness, and limitations | Cover non-card categories or currencies other than USD |
These bridge to the Pulltrader backend. Card data is limited-public: a capped sample of sales, no per-listing or affiliate URLs, and only the catalog reference image.
Each accepts either query (a natural-language description, e.g. "2023 Panini Prizm Victor Wembanyama #136 Silver PSA 10") or item (structured fields: player_athlete, year_manufactured, set_name, card_number, parallel_variety, grader, grade, sport). One of the two is required.
| Tool | What it returns |
|---|---|
identify_card | Canonical fields (player/athlete, year, set, number, parallel, grader, grade, category) plus a confidence level and which fields resolved. Takes query only. Does not price the card. |
search_card_sales | A capped sample of recent comparable sold sales (price + date) plus a market snapshot. Optional limit. |
summarize_card_market | Canonical market value: median, mean, p10βp90, volatility, sample size, confidence. |
get_card_price_history | A chart-ready time series with a trend. Optional interval: day | week | month. |
When eBay has no dated comps, search_card_sales and summarize_card_market fall back to the authoritative vendor price and surface market_value, value_source (TCG Market | CardSightAI | eBay Comps), price_change_7d, price_change_30d, and a single catalog image.
| Tool | What it returns |
|---|---|
compare_selling_costs | Estimated fees and net proceeds for one sale across selling methods, with a per-method fee breakdown, the difference vs the eBay baseline, and the assumptions used. Requires sale_price. |
calculate_required_sale_price | The per-item price needed to reach a target take-home (or net profit, when acquisition_cost is given) on a single method. Requires target_net. |
explain_selling_method | Plain, structured explanation of how each method owns the listing, fulfills, and charges fees. Derived from the same engine, so it never drifts from compare_selling_costs. |
Shared inputs (compare_selling_costs, calculate_required_sale_price):
| Field | Type | Default | Notes |
|---|---|---|---|
currency | enum USD | USD | Only USD supported |
quantity | integer | 1 | Per-order fixed fees applied once |
shipping_amount | number | 0 | Affects eBay's fee base |
item_category | enum trading_cards | trading_cards | Only trading cards |
seller_plan | free|starter|pro|shop | free | Marketplace payout tier |
seller_level | enum | derived from plan | Explicit payout level override |
seller_covers_fees | boolean | false | If false, the buyer pays the platform fee |
ebay_store_subscription | boolean | false | eBay Store rate (12.35%) vs individual (13.25%) |
acquisition_cost | number | β | Switches output to net profit |
ebay_fee_percent_override | number | β | Override the estimated eBay FVF % (flat) |
Supported methods: ebay, pulltrader_marketplace, pulltrader_fbp, pulltrader_storefront, pulltrader_pos, plus estimated competitor marketplaces tcgplayer, manapool, misprint, fanatics_collect, goldin (off by default β opt in via methods). Competitor figures model fixed-price / Buy Now seller fees only.
eBay = 13.25% individual FVF + $0.40 per-order fee (orders over $10). The storefront keeps 100% because Pulltrader has no seller fee on storefront/POS β only the platform fee, paid by the buyer here. The platform fee is always charged on Pulltrader card sales (buyer pays by default).
Settings β Connectors β Add custom connector β URL https://mcp.pulltrader.app/mcp.
Settings β Apps & Connectors β Advanced β enable Developer mode β Create β URL https://mcp.pulltrader.app/mcp.
Add to your MCP client config:
Tested clients: Claude (web/Desktop), ChatGPT developer mode, Cursor, MCP Inspector. We do not claim universal compatibility with every assistant.
Public and read-only. There is no authenticated tier in this release.
| Limit | Default | Notes |
|---|---|---|
All POST /mcp | 60 / IP / min | HTTP 429 + Retry-After. Fail-open if KV is down. |
| Data tools (identify / comps / market / history) | 8 / IP / min, 40 / IP / day | Tool isError RATE_LIMITED. Fail-closed if KV is down. |
| Data tools global | 10,000 / day | Circuit breaker for model + comps spend. |
| Batch size | 5 messages | Larger batches are rejected. |
Requires the MCP_ABUSE KV namespace (see wrangler.toml). Tune via PUBLIC_RATE_LIMIT_PER_MIN, DATA_RATE_LIMIT_PER_MIN, DATA_RATE_LIMIT_PER_DAY, DATA_GLOBAL_LIMIT_PER_DAY.
Input problems come back as a tool result with isError: true and a stable code, not a JSON-RPC error: INVALID_INPUT, NOT_FOUND, RATE_LIMITED, UPSTREAM_ERROR, UPSTREAM_TIMEOUT, DATA_BACKEND_UNAVAILABLE, INTERNAL_ERROR. Unknown methods and malformed envelopes use standard JSON-RPC error codes.
The four card tools require the backend bridge (PULLTRADER_API_BASE + SCOUT_MCP_SECRET). Without it they degrade to DATA_BACKEND_UNAVAILABLE; the three seller-economics tools are pure and always available.
Current schedule versions are served live at /version.
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