# Pulltrader Seller Economics MCP server

Source: https://glimind.com/server/mcp-registry%2Fapp.pulltrader%2Fseller-economics
Registry id: `mcp-registry/app.pulltrader/seller-economics`
Status: auth-required (checked 2026-10-27T02:28:08.700Z)

## Verdict

Pulltrader Seller Economics MCP server answered 100% of Glimind's liveness checks over 30 days, better than 42% of MCP servers, with 2039 ms median handshake and 0 outages in 90 days. Its agent-readiness grade is A (93/100) across 8 tools, costing an agent about 3,498 tokens to load. Checked every few minutes; no tool is ever called.

## Measurements (30 days)

| Metric | Value | Better than |
|---|---|---|
| Uptime, 30 days | 100% | 42% of MCP servers |
| Median handshake latency | 2039 ms | 5% of MCP servers |
| p95 handshake latency | 3601 ms | — |
| Checks in 30 days | 2,261 | — |
| Outages, 90 days | 0 | — |
| Median recovery | — | — |
| Agent-readiness score | 93/100 (A) | 76% of MCP servers |
| Tools | 8 | — |
| Tool-list size for an agent | ~3,498 tokens | 43% of MCP servers |
| Days observed | 29 | — |

## Install

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

Claude Code:

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

## 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 
- `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 authen
- `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 (marketplac
- `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 compon
- `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 w
- `identify_card`: Resolve a natural-language trading-card description into structured fields (player/athlete, year, set, card number, parallel, grader, grade, sport/category). Us
- `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 
- `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 conf

Measured by Glimind (https://glimind.com): MCP handshake + tool list only, no tool is ever called. CC BY 4.0.