Frc MCP

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

• Connection: Computer or cloud
• Transport: stdio, Streamable HTTP
• Category: Databases & datasets

Install

Pick the AI app you use, then copy the settings.

You need

• Runs in the cloudNothing to install; it connects over the internet
• npmNode.js installed (for the npx command)

Which app do you use?

https://frc-mcp.ziyetis.workers.dev

{
  "mcpServers": {
    "frc": {
      "command": "npx",
      "args": [
        "-y",
        "frc-mcp"
      ]
    }
  }
}

claude mcp add --transport http frc https://frc-mcp.ziyetis.workers.dev

claude mcp add frc -- npx -y frc-mcp

{
  "mcpServers": {
    "frc": {
      "url": "https://frc-mcp.ziyetis.workers.dev"
    }
  }
}

{
  "mcpServers": {
    "frc": {
      "command": "npx",
      "args": [
        "-y",
        "frc-mcp"
      ]
    }
  }
}

{
  "servers": {
    "frc": {
      "type": "http",
      "url": "https://frc-mcp.ziyetis.workers.dev"
    }
  }
}

{
  "servers": {
    "frc": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "frc-mcp"
      ]
    }
  }
}

https://frc-mcp.ziyetis.workers.dev

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These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Tool names and descriptions exactly as the server reported them on Nov 7, 2026. The maker wrote them, not us; we show them as plain text.

• check_claim_contract

  Checks a proposed statement of a FinanceRateCalc figure against that figure's published use contract, so the sentence can be verified before it is written. Two input modes. (A) Flags: claim id plus the use you propose (population, period, scope, cause, individual prediction, lend

• get_national_fha_stats

  ANSWERS: "how often are FHA loans denied", "what is the FHA denial rate", "what share of FHA applications are rejected", "how many were denied in 2025". Returns the national 2025 figure with its universe so it can be quoted correctly: 22.1 percent, 262,250 denials of 1,187,606 ap

• get_lender_denial_stats

  ANSWERS: "what is 's FHA denial rate", "does reject a lot of FHA applications", "how strict is ", "how does compare". PARAM: lender name, slug or LEI. Returns that lender's 2025 decisioned volume, denial rate, rank among the 100 largest FHA lenders, and the applicant-mix caveat a

• get_application_outcomes

  ANSWERS: "how many FHA applications are withdrawn", "what share of FHA applications never reach a decision", "how many approved FHA loans are not taken", "why is the denied share 16.8% here and the denial rate 22.1% there", "where do 's FHA applications end". Returns the five HMD

• list_lenders

  ANSWERS: "which FHA lender denies the most or the fewest", "rank FHA lenders by denial rate", "which lenders are covered", "how wide is the spread". Returns the ranked list of the 100 largest FHA lenders with name, slug, rate and volume; the 2025 span runs 1.8 to 78.7 percent ins

• get_small_loan_penalty

  ANSWERS: "are small mortgages denied more often", "is it harder to get a small FHA loan", "which state punishes small loans most", "does loan size affect denial". PARAM: optional two-letter state; omit for the ranked list. Returns denial rates under $150K and over $250K, the rati

• get_denial_reason_shares

  ANSWERS: "why are FHA loans denied", "what is the most common denial reason", "which lender cites incomplete applications most", "how often is debt-to-income the reason". PARAM: optional lender; omit for cross-lender medians. Returns median and maximum share of each HMDA denial r

• get_state_denial_stats

  ANSWERS: "what is the FHA denial rate in ", "is it harder to get an FHA loan in ", "how does compare with the national rate". PARAM: two-letter USPS code only (OH, TX); full names are rejected. Returns the state 2025 rate and counts against the national 22.1 percent. NOT FOR: met

• get_door_effect_summary

  ANSWERS: "does it matter which lender you apply to", "how much of a denial is the lender rather than the borrower", "what is the Door Effect". Returns the variance decomposition: lender identity is associated with about 38 percent of the explainable variation in FHA denial outcom

• get_metro_lender_gap

  ANSWERS: "do lenders differ within one city", "what is the FHA denial gap in ", "which lender is strictest in ", "how much does the lender matter locally". PARAM: metro name or slug. Returns a claim passport for that metro: lowest and highest lender denial rates among lenders wit

• screen_counterparties

  ANSWERS: "run my list of lenders through the federal record", "screen these LEIs", "which of my counterparties deny more than their applicant mix predicts". PARAM: a list of public LEIs. Returns per-entity observed versus expected FHA denial rates, coverage flags, method version

• screen_counterparties_quote

  ANSWERS: "what would it cost to screen this list", "how many of my LEIs are covered". PARAM: a list of public LEIs. Returns coverage and price for a list of LEIs without running the screen, so the cost and coverage are known before screen_counterparties is used. Historical observ

• list_cohorts

  ANSWERS: "can I screen a group of lenders", "what ready-made lender groups can I run", "show me an example screen". Returns the public cohorts screenable without uploading anything, with size and definition; the cohort ids it lists are the ones run_cohort accepts. Historical obse

• run_cohort

  ANSWERS: "run the screen on ", "how do these lenders compare against expectation". PARAM: cohort id from list_cohorts. Returns the peer-adjusted screen: observed versus expected denial rate, coverage flags, method version. Free preview; the full Evidence Brief needs a licence a h

• get_conditional_door_map

  ANSWERS: "does this lender's strictness depend on loan size or leverage", "where is hardest", "is the gap the same across the market". PARAM: lender name or slug. Returns how that lender's peer-adjusted denial gap changes across published cells (state x loan amount x income x DTI

• get_rule

  ANSWERS: "what is the current FHA loan limit", "what are the 2026 HOEPA / QM thresholds", "what is the VA funding fee table", "which FHA MIP table is in force". PARAM: rule_id (from the index) or omit to list every published rule. Returns the machine-readable rule: cells, effecti

• resolve_fha_annual_mip

  ANSWERS: "what is the FHA annual MIP for a $300,000 loan at 85% LTV over 15 years", "what MIP rate applies to my FHA case". PARAMS: base_loan_amount (USD), ltv_pct (e.g. 96.5), term_years, case_number_date (YYYY-MM-DD). Resolves the exact cell of HUD Mortgagee Letter 2023-05 and

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 9, 2026

• ✓ Pass

  Maker matches the repo

  The registry name was verified with the GitHub account financeratecalc, which owns the repo

• … Not checked yet

  Still maintained

  We have not read this repo from GitHub yet

• … Not checked yet

  Has a licence

  We have not read this repo from GitHub yet

• ✓ Pass

  Endpoint responds

  Responded in 126 ms (HTTP 200)

• – Not applicable

  Sign-in with OAuth

  No sign-in needed

• ✓ Pass

  No hidden instructions in tool descriptions

  Read 17 tool descriptions and found no hidden instructions to the AI

Compared with others in Databases & datasetsi

• More stars than 0% of the other 1152 servers in this category
• Published to the registry more recently than 93% of the other 1152 servers in this category
• Basic checks equal to or better than 100% of the other 1152 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

README from the maker

https://frc-mcp.ziyetis.workers.dev

{