mcpbeat Sign in

Pulltrader MCP Server

by pulltrader Your server? Claim it
answering

Pulltrader is answering right now. Last checked 12 min ago. It exposes 8 tools. Last commit 4 Oct 2026.

Trading-card research and seller economics: identify cards, check sold comps, and compare fees.

Uptime history 91 days of history · worst day 95%
91 days agonow
100.0%
Uptime 24h
91 of 91 checks
8
Tools
read from the server
308 ms
Response time
average over 24h
0
Stars
last commit 4 Oct 2026

What changed 34

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 23 September 2026. No other catalogue keeps this.

13 Oct 3 tool descriptions were rewritten get_card_price_history, search_card_sales, summarize_card_market
11 Oct 4 tool descriptions were rewritten18 times that day calculate_required_sale_price, get_card_price_history, search_card_sales and 1 more
11 Oct a tool appeared check_stolen_card
11 Oct a tool disappeared check_kapture_cert
11 Oct a tool changed the parameters it asks for calculate_required_sale_price
10 Oct 2 tool descriptions were rewritten get_card_price_history, summarize_card_market
4 Oct 2 tools changed the parameters they ask for calculate_required_sale_price, compare_selling_costs
4 Oct a tool changed version2 times that day
23 Sep 2 tools changed the parameters they ask for calculate_required_sale_price, compare_selling_costs
23 Sep a tool appeared check_kapture_cert
and 16 more, back to 23 September 2026

Tools have disappeared from this server

A tool that vanishes takes a piece of your agent with it, and the change arrives silently. Watch this server and every such change lands in your inbox.

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 12 min ago.

run in your terminal
claude mcp add seller-economics --transport http https://mcp.pulltrader.app/mcp
Settings → Connectors → Add custom connector, then paste this address
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
{
  "servers": {
    "seller-economics": {
      "type": "http",
      "url": "https://mcp.pulltrader.app/mcp"
    }
  }
}

This endpoint answered with an authorization challenge. The server is running, and it signs you in through your browser: there is no API key to paste.

Available tools 8

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 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. Use returned Pulltrader evidence for card research and follow-ups. Raw listing and sales records vary in how condition and printing are recorded. Present raw condition history and graded context together. Aggregated figures are sales-based market values; individual transactions are recorded sales. Preserve each amount, date, condition, printing and the returned market interpretation. Graded comparables support conditional raw-value and grading-profit calculations only with explicit grade assumptions, costs and fees. Do not invent inputs or present a scenario as an observed raw sale or guaranteed grading outcome. When pricing_evidence is present, include its memberReport with separate raw condition and graded context tables, and use the separate condition histories for charts. Label any assistant-added interpretation, advice or other commentary separately from Pulltrader results.
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. Use returned Pulltrader evidence for card research and follow-ups. Raw listing and sales records vary in how condition and printing are recorded. Present raw condition history and graded context together. Aggregated figures are sales-based market values; individual transactions are recorded sales. Preserve each amount, date, condition, printing and the returned market interpretation. Graded comparables support conditional raw-value and grading-profit calculations only with explicit grade assumptions, costs and fees. Do not invent inputs or present a scenario as an observed raw sale or guaranteed grading outcome. When pricing_evidence is present, include its memberReport with separate raw condition and graded context tables, and use the separate condition histories for charts. Label any assistant-added interpretation, advice or other commentary separately from Pulltrader results.
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 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.
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.
stolen
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.
summarize
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. Use returned Pulltrader evidence for card research and follow-ups. Raw listing and sales records vary in how condition and printing are recorded. Present raw condition history and graded context together. Aggregated figures are sales-based market values; individual transactions are recorded sales. Preserve each amount, date, condition, printing and the returned market interpretation. Graded comparables support conditional raw-value and grading-profit calculations only with explicit grade assumptions, costs and fees. Do not invent inputs or present a scenario as an observed raw sale or guaranteed grading outcome. When pricing_evidence is present, include its memberReport with separate raw condition and graded context tables, and use the separate condition histories for charts. Label any assistant-added interpretation, advice or other commentary separately from Pulltrader results.

Tools removed

Tools this server used to expose. Anything built against them stopped working on the day they went.

check_kapture_cert
removed 11 Oct 2026

Endpoints

URLTransportStateLatencyChecked
https://mcp.pulltrader.app/mcp streamable-http sign-in 488 ms 12 min ago

Alternatives to Pulltrader

same job, measured the same way
NeoSatoshi Card Recognition
by cookiebreed

Identify trading and football cards in a photo, search and correct them, with Cardmarket prices.

1 443 installs/wk local only
Edgaralert
by ikop32-code

SEC insider trading alerts, Form 4 signals, 8-K events, and company research via EDGAR Alert API.

53 installs/wk local only
Cardpeer MCP by Nova (CIVAI)
by civai-nova

Find trading cards, compare listings, and check market prices.

6 tools answering
Tcgdex MCP
by mrfentmen

Pokemon trading card data from TCGdex: search cards, read attacks, sets and prices

176 installs/wk local only
SuperCatch
by supercatch

Search SuperCatch trading cards, prices, and stores; sign in to read your orders and watchlist.

53 tools answering
CardNexus
by cardnexus

Search trading card prices, build carts and manage a CardNexus store. You pay on cardnexus.com.

answering
dibsresearch
by dibsresearch

Company KPIs, financial statements and SEC filing text with sources, plus official economic series.

answering
KoKo Finance — Credit Card Advisor
by kokofinance

AI credit card advisor - search cards, compare portfolios, and optimize rewards

answering

Pulltrader — questions

Answers built from our own checks of this server.

What can Pulltrader do?
It exposes 8 tools, read directly from the server on our last check. Among them: calculate_required_sale_price, check_stolen_card, compare_selling_costs, explain_selling_method, get_card_price_history, identify_card and 2 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 working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 308 ms. The bar chart above shows every period we have measured.
Did Pulltrader ever remove tools?
Yes. check_kapture_cert is no longer exposed — we recorded the date each one disappeared. A tool vanishing usually means a breaking change for anything that depended on it.
How do I connect Pulltrader?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address. You sign in through your browser once and the client keeps the session: no key to copy, and it refuses anonymous clients.
How do you sign in to Pulltrader?
No API key is involved. Pulltrader answers our knock with an OAuth challenge, so you authorise it once in your browser and the client keeps the session. That is also why we see no tool list: it will not describe itself to an anonymous client, and that is the server working as intended, not a fault.
How fast is Pulltrader?
It answers our handshake in 308 ms on average, which is faster than 46% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is Pulltrader open source?
The code is open source: it is published under the MIT licence, written in TypeScript and 0 stars on GitHub. The licence covers the code in the repository, not the hosted service at mcp.pulltrader.app, which runs on its operator's own terms.