In-depth architectural comparison of the Mrmarket.ai 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
Mrmarket.ai
Finance & Fintech · Remote HTTP/SSE
Quality: 49/100 (Fair) | Auth: No auth required
FinanceRateCalc (frc Mcp)
Finance & Fintech · Local stdio
Quality: 82/100 (Excellent) | Auth: No auth required
Verdict Summary: Choose Mrmarket.ai 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 Mrmarket.ai 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).
Analytical engine for US-listed equities: screens, rankings, and event studies in plain English.
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
Mrmarket.ai Tools (8)
query_data
The workhorse. A natural-language financial question in; structured rows and columns out. Screens, rankings, comparisons, time-series, cohort studies, and event studies are all single calls.
fetch_page
The continuation. When a `query_data` result is too large for one response, page 1 comes back with a `pagination.next_cursor`; pass that cursor to `fetch_page` to retrieve the rest. It runs no new query, so it never costs credits — the original `query_data` is charged once.
describe_data
The data catalog. Browse categories and fields, or search for a specific metric, before composing a question.
get_symbols
Fast ticker, sector, and industry resolution. Name to ticker, sector membership, or the full universe in under 50ms.
getting_started
A structured orientation tour with verified example prompts, grouped by use case.
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).
Mrmarket.ai 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 Mrmarket.ai when you need capabilities focused on finance & fintech and FinanceRateCalc (frc Mcp) when you require tools for finance & fintech.
Connected account, plan tier, credit balance, and rate limits. A useful first call in any new session.
report_issue
Flag a result that looks wrong or a feature that is missing. Pass the `query_id` from the response so the trace can be investigated.
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.