In-depth architectural comparison of the Hyperevm MCP 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
Hyperevm MCP
Finance & Fintech · Local stdio
Quality: 56/100 (Good) | Auth: No auth required
FinanceRateCalc (frc Mcp)
Finance & Fintech · Local stdio
Quality: 82/100 (Excellent) | Auth: No auth required
Verdict Summary: Choose Hyperevm MCP if you need specialized Finance & Fintech tools running via a local process. 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 Hyperevm MCP when:
You need dedicated capabilities in the Finance & Fintech domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).
Read-only Hyperliquid / HyperEVM: every way to earn on HYPE in one table — liquid staking, lending with utilisation and max LTV, LP pools, and the HLP vault — with yield a pool earns separated from yield paid in emitted tokens. Also protocol TVL, fees actually paid, perp and spot markets, funding history, and order-book depth with a straight answer when a size will not fill. Where a source publishes a figure whose unit cannot be confirmed, the cell reads n/a instead. No keys, no signing, nothing to configure. npx -y @sand0vvv/hyperevm-mcp
Tools & Capabilities Breakdown
Hyperevm MCP Tools (9)
hyperevm_yields
Every yield on HYPE in one table: liquid staking, lending with supply/borrow/utilisation/max LTV, LP and looping, and the HLP vault — with earned yield separated from token emissions
hyperevm_protocols
What is deployed on HyperEVM: chain TVL, per-protocol TVL, 1d/7d change, sortable by size or weekly growth; a detail card for any one protocol
hyperevm_fees
Fees users actually paid, ranked over 24h/7d/30d. TVL says how much money sits somewhere; this says whether anyone is paying to use it
hl_market
Perp mark price, funding hourly and annualised, open interest, 24h volume; spot pairs; predicted funding across Hyperliquid, Binance and Bybit
hl_staking
HYPE validators ranked by predicted APR, with commission, uptime and stake share — what the network pays before any wrapper takes its cut
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).
Hyperevm MCP is categorized under Finance & Fintech and uses a local stdio subprocess. In contrast, FinanceRateCalc (frc Mcp) belongs to Finance & Fintech using local stdio subprocess. Select Hyperevm MCP when you need capabilities focused on finance & fintech and FinanceRateCalc (frc Mcp) when you require tools for finance & fintech.
Popular comparisons with FinanceRateCalc (frc Mcp)
MCP server for FinanceRateCalc — query lender-level FHA denial statistics from the complete 2025 federal HMDA record. Historical observations, never individual predictions.
One pool's APY and TVL over weeks, split into earned versus emitted — so a headline rate can be checked against its own history
hl_funding
How funding actually behaved over days: average, range, how much of the time it held its sign, and what the position would have paid
hl_orderbook
Spread and resting depth, and whether a given trade size fills inside the visible book — or a plain statement that it does not
hyperevm_wallet
Any public address: account value, open positions with entry, unrealised PnL and liquidation price, spot balances, HYPE staking
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.