Connect

8 clients · secrets stay placeholders

JSON (mcpServers)Claude CodeCodexOpenCodeCursorVS CodeGemini CLIGoose

{
  "mcpServers": {
    "seller-economics": {
      "type": "http",
      "url": "https://mcp.pulltrader.app/mcp"
    }
  }
}

claude mcp add --transport http seller-economics https://mcp.pulltrader.app/mcp

[mcp_servers.seller-economics]
url = "https://mcp.pulltrader.app/mcp"

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "seller-economics": {
      "type": "remote",
      "url": "https://mcp.pulltrader.app/mcp",
      "enabled": true
    }
  }
}

{
  "mcpServers": {
    "seller-economics": {
      "type": "http",
      "url": "https://mcp.pulltrader.app/mcp"
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=seller-economics&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vbWNwLnB1bGx0cmFkZXIuYXBwL21jcCJ9"
}

{
  "servers": {
    "seller-economics": {
      "type": "http",
      "url": "https://mcp.pulltrader.app/mcp"
    }
  }
}

{
  "mcpServers": {
    "seller-economics": {
      "httpUrl": "https://mcp.pulltrader.app/mcp"
    }
  }
}

extensions:
  "seller-economics":
    enabled: true
    name: "seller-economics"
    type: streamable_http
    uri: "https://mcp.pulltrader.app/mcp"
    timeout: 300

Quality 72 / 100needs work

protocoln/a · weight 25

n/a
protocol.modern, protocol.stateless, protocol.transport, protocol.list_ttlno remote answered a protocol handshake (not probed yet, unreachable, or local-only)

authorization83 · weight 15

pass
auth.prmProtected Resource Metadata (RFC 9728) published
pass
auth.as_metadataauthorization server metadata reachable
warn
auth.cimdonly Dynamic Client Registration, deprecated in 2026-07-28 in favour of CIMD
n/a
auth.secret_in_urlno templated URL

tool hygiene64 · weight 30

pass
tools.descriptionsevery tool has a description
warn
tools.description_length5 tools have descriptions over 1,024 characters, which crowds the context
pass
tools.schemasevery tool has an object input schema
fail
tools.annotationsno tool declares readOnlyHint or destructiveHint, so clients cannot tell safe calls from risky ones
fail
tools.directory_hintsno tool declares all four of readOnlyHint, destructiveHint, idempotentHint and openWorldHint; missing: check_stolen_card (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); compare_selling_costs (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); identify_card (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); …
pass
tools.token_costabout 4,407 tokens to load every tool
pass
tools.api_dumptools are not a one-to-one API dump

stability75 · weight 15

warn
stability.changes15 tool changes in 30 days
pass
stability.rug_pullno tool changed its meaning under the same name

dependenciesn/a · weight 15

n/a
deps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI package

8 tools, about 4,407 tokens to load them all · tool set 5d9ec25d842e · tools last changed 2026-10-11 · checked 2026-10-20 18:38 UTC

Tool changes

2026-10-11get_card_price_historychangeddescription
before
Return a chart-ready price-history series for a trading card from available sold sales or daily market estimates, grouped into day/week/month buckets with a median and 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`. The response labels sold sales or market estimates explicitly and reports sold-sale sample counts separately. Amounts are USD dollars. Trading cards only. Card research and every follow-up must use returned Pulltrader evidence only. Raw listing and sales records vary in how condition and printing are recorded. Present returned raw condition history and graded context together. Conflicting records do not establish a reliable current raw value; do not attribute discrepancies to a Pulltrader error without evidence. Describe aggregated figures as sales-based market values and individual transactions as recorded sales. Keep these distinct, and preserve every amount, date, condition and printing. Preserve the returned market interpretation. Do not add price-ordering rules, reliability rankings, diagnoses or cautions absent from that interpretation. Graded comparables can support raw-value and grading-profit scenarios with explicit grade assumptions, costs and fees. Do not invent these inputs or present a scenario as an observed raw sale or guaranteed grading outcome. Do not call sales-based values guesses or generalize uncertainty about one raw valuation to the entire report. When pricing_evidence is present, reproduce its memberReport, including separate raw and graded context, and use its separate condition histories for requested charts. Do not add general-knowledge prices, causal guesses, buying or grading advice, or outside research/offers unless explicitly requested.
after · 99% of words in common
Return a chart-ready price-history series for a trading card from available sold sales or daily sales-based market values, grouped into day/week/month buckets with a median and 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`. The response labels recorded sales or sales-based market values explicitly and reports sold-sale sample counts separately. Amounts are USD dollars. Trading cards only. Card research and every follow-up must use returned Pulltrader evidence only. Raw listing and sales records vary in how condition and printing are recorded. Present returned raw condition history and graded context together. Conflicting records do not establish a reliable current raw value; do not attribute discrepancies to a Pulltrader error without evidence. Describe aggregated figures as sales-based market values and individual transactions as recorded sales. Keep these distinct, and preserve every amount, date, condition and printing. Preserve the returned market interpretation. Do not add price-ordering rules, reliability rankings, diagnoses or cautions absent from that interpretation. Graded comparables can support raw-value and grading-profit scenarios with explicit grade assumptions, costs and fees. Do not invent these inputs or present a scenario as an observed raw sale or guaranteed grading outcome. Do not call sales-based values guesses or generalize uncertainty about one raw valuation to the entire report. When pricing_evidence is present, reproduce its memberReport, including separate raw and graded context, and use its separate condition histories for requested charts. Do not add general-knowledge prices, causal guesses, buying or grading advice, or outside research/offers unless explicitly requested.
2026-10-11search_card_saleschangeddescription
before
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. Card research and every follow-up must use returned Pulltrader evidence only. Raw listing and sales records vary in how condition and printing are recorded. Present returned raw condition history and graded context together. Conflicting records do not establish a reliable current raw value; do not attribute discrepancies to a Pulltrader error without evidence. Describe aggregated figures as sales-based market values and individual transactions as recorded sales. Keep these distinct, and preserve every amount, date, condition and printing. Preserve the returned market interpretation. Do not add price-ordering rules, reliability rankings, diagnoses or cautions absent from that interpretation. Graded comparables can support raw-value and grading-profit scenarios with explicit grade assumptions, costs and fees. Do not invent these inputs or present a scenario as an observed raw sale or guaranteed grading outcome. Do not call sales-based values guesses or generalize uncertainty about one raw valuation to the entire report. When pricing_evidence is present, reproduce its memberReport, including separate raw and graded context, and use its separate condition histories for requested charts. Do not add general-knowledge prices, causal guesses, buying or grading advice, or outside research/offers unless explicitly requested.
after · 99% of words in common
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`. Values are based on recorded sales and exclude fees/taxes/shipping; this is not financial advice and does not place orders. Trading cards only. Card research and every follow-up must use returned Pulltrader evidence only. Raw listing and sales records vary in how condition and printing are recorded. Present returned raw condition history and graded context together. Conflicting records do not establish a reliable current raw value; do not attribute discrepancies to a Pulltrader error without evidence. Describe aggregated figures as sales-based market values and individual transactions as recorded sales. Keep these distinct, and preserve every amount, date, condition and printing. Preserve the returned market interpretation. Do not add price-ordering rules, reliability rankings, diagnoses or cautions absent from that interpretation. Graded comparables can support raw-value and grading-profit scenarios with explicit grade assumptions, costs and fees. Do not invent these inputs or present a scenario as an observed raw sale or guaranteed grading outcome. Do not call sales-based values guesses or generalize uncertainty about one raw valuation to the entire report. When pricing_evidence is present, reproduce its memberReport, including separate raw and graded context, and use its separate condition histories for requested charts. Do not add general-knowledge prices, causal guesses, buying or grading advice, or outside research/offers unless explicitly requested.
2026-10-11calculate_required_sale_pricechangeddescription, input schema
before
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.
after · 91% of words in common
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 shipping_cost for actual seller postage, separate from shipping_amount charged to the buyer. Never adjust target_net to account for postage yourself. 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.
2026-10-11get_card_price_historychangeddescription
before
Return a chart-ready price-history series for a trading card from available sold sales or daily market estimates, grouped into day/week/month buckets with a median and 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`. The response labels sold sales or market estimates explicitly and reports sold-sale sample counts separately. Amounts are USD dollars. Trading cards only. Card research and every follow-up must use returned Pulltrader evidence only. If estimates conflict, the cause and current value are unknown. When pricing_evidence is present, reproduce its memberReport and use its separate condition histories for requested charts. Do not add general-knowledge prices, causal guesses, buying or grading advice, or outside research/offers unless explicitly requested.
after · 58% of words in common
Return a chart-ready price-history series for a trading card from available sold sales or daily market estimates, grouped into day/week/month buckets with a median and 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`. The response labels sold sales or market estimates explicitly and reports sold-sale sample counts separately. Amounts are USD dollars. Trading cards only. Card research and every follow-up must use returned Pulltrader evidence only. Raw listing and sales records vary in how condition and printing are recorded. Present returned raw condition history and graded context together. Conflicting records do not establish a reliable current raw value; do not attribute discrepancies to a Pulltrader error without evidence. Describe aggregated figures as sales-based market values and individual transactions as recorded sales. Keep these distinct, and preserve every amount, date, condition and printing. Preserve the returned market interpretation. Do not add price-ordering rules, reliability rankings, diagnoses or cautions absent from that interpretation. Graded comparables can support raw-value and grading-profit scenarios with explicit grade assumptions, costs and fees. Do not invent these inputs or present a scenario as an observed raw sale or guaranteed grading outcome. Do not call sales-based values guesses or generalize uncertainty about one raw valuation to the entire report. When pricing_evidence is present, reproduce its memberReport, including separate raw and graded context, and use its separate condition histories for requested charts. Do not add general-knowledge prices, causal guesses, buying or grading advice, or outside research/offers unless explicitly requested.
2026-10-11summarize_card_marketchangeddescription
before
Return the current market estimate and available comparable-sale statistics for a trading card: 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`. Amounts are USD dollars excluding fees, taxes and shipping. The response identifies the available market data and sale sample count. Trading cards only. Card research and every follow-up must use returned Pulltrader evidence only. If estimates conflict, the cause and current value are unknown. When pricing_evidence is present, reproduce its memberReport and use its separate condition histories for requested charts. Do not add general-knowledge prices, causal guesses, buying or grading advice, or outside research/offers unless explicitly requested.
after · 56% of words in common
Return the current market estimate and available comparable-sale statistics for a trading card: 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`. Amounts are USD dollars excluding fees, taxes and shipping. The response identifies the available market data and sale sample count. Trading cards only. Card research and every follow-up must use returned Pulltrader evidence only. Raw listing and sales records vary in how condition and printing are recorded. Present returned raw condition history and graded context together. Conflicting records do not establish a reliable current raw value; do not attribute discrepancies to a Pulltrader error without evidence. Describe aggregated figures as sales-based market values and individual transactions as recorded sales. Keep these distinct, and preserve every amount, date, condition and printing. Preserve the returned market interpretation. Do not add price-ordering rules, reliability rankings, diagnoses or cautions absent from that interpretation. Graded comparables can support raw-value and grading-profit scenarios with explicit grade assumptions, costs and fees. Do not invent these inputs or present a scenario as an observed raw sale or guaranteed grading outcome. Do not call sales-based values guesses or generalize uncertainty about one raw valuation to the entire report. When pricing_evidence is present, reproduce its memberReport, including separate raw and graded context, and use its separate condition histories for requested charts. Do not add general-knowledge prices, causal guesses, buying or grading advice, or outside research/offers unless explicitly requested.
2026-10-11search_card_saleschangeddescription
before
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. Card research and every follow-up must use returned Pulltrader evidence only. If estimates conflict, the cause and current value are unknown. When pricing_evidence is present, reproduce its memberReport and use its separate condition histories for requested charts. Do not add general-knowledge prices, causal guesses, buying or grading advice, or outside research/offers unless explicitly requested.
after · 56% of words in common
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. Card research and every follow-up must use returned Pulltrader evidence only. Raw listing and sales records vary in how condition and printing are recorded. Present returned raw condition history and graded context together. Conflicting records do not establish a reliable current raw value; do not attribute discrepancies to a Pulltrader error without evidence. Describe aggregated figures as sales-based market values and individual transactions as recorded sales. Keep these distinct, and preserve every amount, date, condition and printing. Preserve the returned market interpretation. Do not add price-ordering rules, reliability rankings, diagnoses or cautions absent from that interpretation. Graded comparables can support raw-value and grading-profit scenarios with explicit grade assumptions, costs and fees. Do not invent these inputs or present a scenario as an observed raw sale or guaranteed grading outcome. Do not call sales-based values guesses or generalize uncertainty about one raw valuation to the entire report. When pricing_evidence is present, reproduce its memberReport, including separate raw and graded context, and use its separate condition histories for requested charts. Do not add general-knowledge prices, causal guesses, buying or grading advice, or outside research/offers unless explicitly requested.
2026-10-11check_kapture_certremoved
Check an exact certification number against Kapture. Preserve leading zeros. CLEAN means no verified stolen report matched, not proof of authenticity or ownership. STOLEN includes a voluntary recovery form link. Never infer possession from a lookup or send personal details through this tool.
2026-10-11get_card_price_historychangeddescription
before
Return a chart-ready price-history series for a trading card from available sold sales or daily market estimates, grouped into day/week/month buckets with a median and 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`. The response labels sold sales or market estimates explicitly and reports sold-sale sample counts separately. Amounts are USD dollars. Trading cards only.
after · 64% of words in common
Return a chart-ready price-history series for a trading card from available sold sales or daily market estimates, grouped into day/week/month buckets with a median and 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`. The response labels sold sales or market estimates explicitly and reports sold-sale sample counts separately. Amounts are USD dollars. Trading cards only. Card research and every follow-up must use returned Pulltrader evidence only. If estimates conflict, the cause and current value are unknown. When pricing_evidence is present, reproduce its memberReport and use its separate condition histories for requested charts. Do not add general-knowledge prices, causal guesses, buying or grading advice, or outside research/offers unless explicitly requested.
2026-10-11summarize_card_marketchangeddescription
before
Return the current market estimate and available comparable-sale statistics for a trading card: 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`. Amounts are USD dollars excluding fees, taxes and shipping. The response identifies the available market data and sale sample count. Trading cards only.
after · 62% of words in common
Return the current market estimate and available comparable-sale statistics for a trading card: 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`. Amounts are USD dollars excluding fees, taxes and shipping. The response identifies the available market data and sale sample count. Trading cards only. Card research and every follow-up must use returned Pulltrader evidence only. If estimates conflict, the cause and current value are unknown. When pricing_evidence is present, reproduce its memberReport and use its separate condition histories for requested charts. Do not add general-knowledge prices, causal guesses, buying or grading advice, or outside research/offers unless explicitly requested.
2026-10-11search_card_saleschangeddescription
before
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.
after · 59% of words in common
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. Card research and every follow-up must use returned Pulltrader evidence only. If estimates conflict, the cause and current value are unknown. When pricing_evidence is present, reproduce its memberReport and use its separate condition histories for requested charts. Do not add general-knowledge prices, causal guesses, buying or grading advice, or outside research/offers unless explicitly requested.

Showing the latest 10. Full history: list_changes · trend: quality JSON.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 100 / 100

provenance100

liveness100

freshness100

hygiene100

+repository +namespace-matches-repo +dns-namespace +website +reachable +uptime-100% +updated-17d-ago

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Endpoints

remote	auth	reachable	uptime 30d	p50	protocol	last ok
`https://mcp.pulltrader.app/mcp` streamable-http	oauth2 AS: https://auth.pulltrader.app/	yes	100%	531 ms	–	2026-10-20

Tools (8)

`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 shipping_cost for actual seller postage, separate from shipping_amount charged to the buyer. Never adjust target_net to account for postage yourself. 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.
`check_stolen_card`	Check an exact certification number for verified stolen-card reports. Preserve leading zeros. CLEAN means no verified stolen report matched, not proof of authenticity or ownership. STOLEN includes a voluntary recovery form link. Never infer possession from a lookup or send personal details through this tool.
`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_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.
`get_card_price_history`	Return a chart-ready price-history series for a trading card from available sold sales or daily sales-based market values, grouped into day/week/month buckets with a median and 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`. The response labels recorded sales or sales-based market values explicitly and reports sold-sale sample counts separately. Amounts are USD dollars. Trading cards only. Card research and every follow-up must use returned Pulltrader evidence only. Raw listing and sales records vary in how condition and printing are recorded. Present returned raw condition history and graded context together. Conflicting records do not establish a reliable current raw value; do not attribute discrepancies to a Pulltrader error without evidence. Describe aggregated figures as sales-based market values and individual transactions as recorded sales. Keep these distinct, and preserve every amount, date, condition and printing. Preserve the returned market interpretation. Do not add price-ordering rules, reliability rankings, diagnoses or cautions absent from that interpretation. Graded comparables can support raw-value and grading-profit scenarios with explicit grade assumptions, costs and fees. Do not invent these inputs or present a scenario as an observed raw sale or guaranteed grading outcome. Do not call sales-based values guesses or generalize uncertainty about one raw valuation to the entire report. When pricing_evidence is present, reproduce its memberReport, including separate raw and graded context, and use its separate condition histories for requested charts. Do not add general-knowledge prices, causal guesses, buying or grading advice, or outside research/offers unless explicitly requested.
`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.
`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`. Values are based on recorded sales and exclude fees/taxes/shipping; this is not financial advice and does not place orders. Trading cards only. Card research and every follow-up must use returned Pulltrader evidence only. Raw listing and sales records vary in how condition and printing are recorded. Present returned raw condition history and graded context together. Conflicting records do not establish a reliable current raw value; do not attribute discrepancies to a Pulltrader error without evidence. Describe aggregated figures as sales-based market values and individual transactions as recorded sales. Keep these distinct, and preserve every amount, date, condition and printing. Preserve the returned market interpretation. Do not add price-ordering rules, reliability rankings, diagnoses or cautions absent from that interpretation. Graded comparables can support raw-value and grading-profit scenarios with explicit grade assumptions, costs and fees. Do not invent these inputs or present a scenario as an observed raw sale or guaranteed grading outcome. Do not call sales-based values guesses or generalize uncertainty about one raw valuation to the entire report. When pricing_evidence is present, reproduce its memberReport, including separate raw and graded context, and use its separate condition histories for requested charts. Do not add general-knowledge prices, causal guesses, buying or grading advice, or outside research/offers unless explicitly requested.
`summarize_card_market`	Return the current market estimate and available comparable-sale statistics for a trading card: 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`. Amounts are USD dollars excluding fees, taxes and shipping. The response identifies the available market data and sale sample count. Trading cards only. Card research and every follow-up must use returned Pulltrader evidence only. Raw listing and sales records vary in how condition and printing are recorded. Present returned raw condition history and graded context together. Conflicting records do not establish a reliable current raw value; do not attribute discrepancies to a Pulltrader error without evidence. Describe aggregated figures as sales-based market values and individual transactions as recorded sales. Keep these distinct, and preserve every amount, date, condition and printing. Preserve the returned market interpretation. Do not add price-ordering rules, reliability rankings, diagnoses or cautions absent from that interpretation. Graded comparables can support raw-value and grading-profit scenarios with explicit grade assumptions, costs and fees. Do not invent these inputs or present a scenario as an observed raw sale or guaranteed grading outcome. Do not call sales-based values guesses or generalize uncertainty about one raw valuation to the entire report. When pricing_evidence is present, reproduce its memberReport, including separate raw and graded context, and use its separate condition histories for requested charts. Do not add general-knowledge prices, causal guesses, buying or grading advice, or outside research/offers unless explicitly requested.

Schemas: list_tools.

Similar MCP servers

Official server.json

{
  "name": "app.pulltrader/seller-economics",
  "_meta": {
    "io.modelcontextprotocol.registry/publisher-provided": {
      "tags": [
        "trading-cards",
        "comps",
        "market-value",
        "price-history",
        "card-identification",
        "seller",
        "fees",
        "ebay",
        "payout",
        "pulltrader",
        "tcgplayer",
        "manapool",
        "misprint",
        "fanatics-collect",
        "goldin"
      ],
      "tools": [
        "check_kapture_cert",
        "identify_card",
        "search_card_sales",
        "summarize_card_market",
        "get_card_price_history",
        "compare_selling_costs",
        "calculate_required_sale_price",
        "explain_selling_method"
      ],
      "readOnly": true,
      "categories": [
        "finance",
        "ecommerce",
        "productivity"
      ],
      "authentication": "none",
      "feeScheduleVersions": {
        "ebay": "2026-06-27",
        "goldin": "2026-06-27",
        "manapool": "2026-06-27",
        "misprint": "2026-06-27",
        "tcgplayer": "2026-06-27",
        "pulltrader": "2026-06-01",
        "fanatics_collect": "2026-06-27"
      }
    }
  },
  "title": "Pulltrader",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "remotes": [
    {
      "url": "https://mcp.pulltrader.app/mcp",
      "type": "streamable-http"
    }
  ],
  "version": "0.6.1",
  "repository": {
    "url": "https://github.com/pulltrader/pulltrader-mcp",
    "source": "github"
  },
  "websiteUrl": "https://pulltrader.app/mcp",
  "description": "Trading-card research and seller economics: identify cards, check sold comps, and compare fees."
}