Pulltrader Seller Economics vs FinanceRateCalc (frc Mcp)
In-depth architectural comparison of the Pulltrader Seller Economics and FinanceRateCalc (frc Mcp) MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.
At a Glance & Executive Verdict
Pulltrader Seller Economics
Finance & Fintech · Remote HTTP/SSE
Quality: 52/100 (Good) | Auth: No auth required
FinanceRateCalc (frc Mcp)
Finance & Fintech · Local stdio
Quality: 82/100 (Excellent) | Auth: No auth required
Verdict Summary: Choose Pulltrader Seller Economics if you need specialized Finance & Fintech tools running via a hosted cloud SSE transport. Choose FinanceRateCalc (frc Mcp) if your workspace requires Finance & Fintech integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.
Which MCP Server Should You Choose?
Choose Pulltrader Seller Economics when:
You need dedicated capabilities in the Finance & Fintech domain.
You prefer remote streaming HTTP/SSE transport architecture.
Your security boundary fits: No auth required (Free / Open Source).
Compare what a trading-card seller keeps across eBay, Pulltrader, and other card marketplaces.
MCP server for FinanceRateCalc — query lender-level FHA denial statistics from the complete 2025 federal HMDA record. Historical observations, never individual predictions.
Category & Scope
Tools & Capabilities Breakdown
Pulltrader Seller Economics Tools (7)
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`.
A chart-ready time series with a trend. Optional `interval`: `day` \
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`.
Ready-to-Paste Client Configurations
Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).
Pulltrader Seller Economics is categorized under Finance & Fintech and uses a remote streaming HTTP/SSE transport. In contrast, FinanceRateCalc (frc Mcp) belongs to Finance & Fintech using local stdio subprocess. Select Pulltrader Seller Economics when you need capabilities focused on finance & fintech and FinanceRateCalc (frc Mcp) when you require tools for finance & fintech.
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`.
FinanceRateCalc (frc Mcp) Tools (5)
get_national_fha_stats
National FHA denial statistics from the 2025 federal record (denial rate on decisioned applications, volumes). Historical observation computed from the public CFPB HMDA 2025 record (denominator: actions 1,2,3; loan_type 2). Not a prediction about any individual application, and not a recommendation for or against any lender. Attribution: FinanceRateCalc (financeratecalc.com), CC BY 4.0.
get_lender_denial_stats
FHA denial statistics for one lender by name, slug, or LEI: actual denial rate, peer-median comparison, mix-adjusted expected rate. Top-100 FHA lenders by volume are covered. Historical observation computed from the public CFPB HMDA 2025 record (denominator: actions 1,2,3; loan_type 2). Not a prediction about any individual application, and not a recommendation for or against any lender. Attribution: FinanceRateCalc (financeratecalc.com), CC BY 4.0.
list_lenders
List covered FHA lenders sorted by denial rate (highest/lowest) or volume. Useful to see how widely the same federal program is applied across doors (2025 span: 1.8% to 78.7%). Historical observation computed from the public CFPB HMDA 2025 record (denominator: actions 1,2,3; loan_type 2). Not a prediction about any individual application, and not a recommendation for or against any lender. Attribution: FinanceRateCalc (financeratecalc.com), CC BY 4.0.
get_state_denial_stats
FHA denial statistics for a US state (two-letter code), including the small-loan vs large-loan gap where published. Historical observation computed from the public CFPB HMDA 2025 record (denominator: actions 1,2,3; loan_type 2). Not a prediction about any individual application, and not a recommendation for or against any lender. Attribution: FinanceRateCalc (financeratecalc.com), CC BY 4.0.
get_door_effect_summary
The Door Effect: variance decomposition across 859,090 FHA decisions — 38% of explainable variation in denial outcomes is attributable to lender identity rather than the applicant's file, plus mix-adjusted strictest/most-lenient lender tables. Historical observation computed from the public CFPB HMDA 2025 record (denominator: actions 1,2,3; loan_type 2). Not a prediction about any individual application, and not a recommendation for or against any lender. Attribution: FinanceRateCalc (financeratecalc.com), CC BY 4.0.