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Pulltrader Seller Economics MCP Server

by pulltrader Your server? Claim it
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Pulltrader Seller Economics is answering right now. Last checked 11 min ago. It exposes 7 tools. Last commit 16 Sep 2026.

Compare what a trading-card seller keeps across eBay, Pulltrader, and other card marketplaces.

Uptime history 51 days of history · worst day 95%
51 days agonow
98.9%
Uptime 24h
90 of 91 checks
7
Tools
read from the server
261 ms
Response time
average over 24h
0
Stars
last commit 16 Sep 2026

Pulltrader Seller Economics does not always answer

Over the last week it answered 98.6% of our checks. We check every 15 minutes, so you hear about the next outage within the hour — not from your users.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 11 min ago.

run in your terminal
claude mcp add seller-economics --transport http https://mcp.pulltrader.app/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "seller-economics": {
      "url": "https://mcp.pulltrader.app/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.seller-economics]
url = "https://mcp.pulltrader.app/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "seller-economics": {
      "url": "https://mcp.pulltrader.app/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "seller-economics": {
      "url": "https://mcp.pulltrader.app/mcp"
    }
  }
}

Available tools 7

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

card
get_card_price_history
Return a chart-ready price-history series for a trading card, aggregated from recent comparable sold sales into day/week/month buckets with a median per bucket and an overall trend. Use this when a user asks 'how has the price changed', 'price over time', 'is it trending up or down', or wants a chart. Accepts a natural-language `query` or a structured `item`. Series is built from sold-sale samples (and vendor TCG history when available); estimates only, not financial advice. Trading cards only.
search_card_sales
Return a capped sample of recent comparable SOLD listings for a trading card (price + sale date), plus a market snapshot (median, range, sample size). Use this when a user asks 'what is this card selling for', 'recent sales', or 'comps'. Accepts a natural-language `query` or a structured `item`. Figures are estimates from recent sales and exclude fees/taxes/shipping; this is not financial advice and does not place orders. Trading cards only.
calculate
calculate_required_sale_price
Given a target take-home amount, compute the per-item sale price a trading-card seller must list at to net that amount on ONE selling method, after fees — eBay (estimated), a Pulltrader selling method (marketplace, Fulfilled by Pulltrader, branded storefront, in-person POS), or an estimated competitor marketplace (TCGplayer, Mana Pool, Misprint, Fanatics Collect, Goldin). If acquisition_cost is supplied, the target is treated as net profit (payout minus what you paid); otherwise it is the take-home payout. Use this when a seller asks 'what do I need to list this at to walk away with $X', 'to net/profit $X after fees', or 'to break even'. Calculations are deterministic and use dated fee schedules. Do NOT use this to look up a card's market value or recent sales (this tool does not price cards), and do NOT use it for non-trading-card categories. Present eBay and competitor figures as estimates, never as guaranteed proceeds.
compare
compare_selling_costs
Compare estimated fees and the net amount a trading-card seller keeps when selling the SAME card across eBay (estimated), Pulltrader selling methods (marketplace, Fulfilled by Pulltrader, branded storefront, and in-person POS), and other marketplaces (TCGplayer, Mana Pool, Misprint, Fanatics Collect, Goldin — estimated fixed-price/Buy Now seller fees). Use this when a seller asks what they would keep/net/take-home on a sale, how fees compare between platforms, or which method leaves them with more money. Calculations are deterministic and use dated fee schedules. Competitor marketplaces are off by default; include them via the `methods` field. Only fixed-price seller fees are modeled — auction formats (hammer price, buyer's premium, negotiated consignment) are not. Do NOT use this to look up a card's market value or recent sales (this tool does not price cards), and do NOT use it for non-trading-card categories. Present competitor and eBay figures as estimates, never as guaranteed proceeds, and never claim one platform is universally cheapest.
explain
explain_selling_method
Return a plain, structured explanation of one or more supported trading-card selling methods: who owns the listing, who fulfills, where it sells, the fee components that apply, and important caveats. Covers eBay (estimated), Pulltrader marketplace, Fulfilled by Pulltrader, branded storefront, in-person POS, and estimated competitor marketplaces (TCGplayer, Mana Pool, Misprint, Fanatics Collect, Goldin). Use this when a seller asks how a method works, what fees a platform charges, or how Pulltrader selling options differ. Do NOT use this to compute a specific payout (use compare_selling_costs) or the price needed for a target net (use calculate_required_sale_price), and do NOT use it to price cards.
identify
identify_card
Resolve a natural-language trading-card description into structured fields (player/athlete, year, set, card number, parallel, grader, grade, sport/category). Use this first when a user names a card in prose and you need its canonical fields before looking up sales or market value. Returns a confidence level and which fields were resolved. This does NOT price the card or return sales — use search_card_sales or summarize_card_market for that. Trading cards only.
summarize
summarize_card_market
Return a canonical market summary for a trading card from recent comparable sales: median, mean, 10th–90th percentile range, volatility, and a confidence level based on sample size and dispersion. Use this when a user asks 'what's it worth', 'market value', or 'how volatile is this card'. Accepts a natural-language `query` or a structured `item`. Estimates from recent sales, excluding fees/taxes/shipping; not financial advice. Trading cards only.

Endpoints

URLTransportStateLatencyChecked
https://mcp.pulltrader.app/mcp streamable-http answering 234 ms 11 min ago

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Pulltrader Seller Economics — questions

Answers built from our own checks of this server.

What can Pulltrader Seller Economics do?
It exposes 7 tools, read directly from the server on our last check. Among them: calculate_required_sale_price, compare_selling_costs, explain_selling_method, get_card_price_history, identify_card, search_card_sales and 1 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is Pulltrader Seller Economics working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 90 of 91 checks got a reply (98.9%), average response time 261 ms. The bar chart above shows every period we have measured.
How do I connect Pulltrader Seller Economics?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Pulltrader Seller Economics need an API key?
No. Pulltrader Seller Economics completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 7 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Pulltrader Seller Economics?
It answers our handshake in 261 ms on average, which is faster than 59% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is Pulltrader Seller Economics open source?
Yes — it is published under the MIT licence, written in TypeScript and 0 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.