Frc MCP

できること

このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。

• 接続方法: パソコンでもクラウドでも
• トランスポート: stdio, Streamable HTTP
• カテゴリ: データベース・データセット

インストール

使っているAIアプリを選んで、設定をコピーしてください。

必要なもの

• クラウドで動くインストール不要。インターネット経由でつながります
• npmNode.jsのインストール（npxコマンドに必要）

どのアプリを使っていますか？

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

選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。

この設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。

できること

ツールの名前と説明は、サーバーが2026年11月7日に返したそのままの内容です。書いたのは作者で、私たちではありません。プレーンテキストとして表示しています。

• 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  ANSWERS: "how many FHA applications are withdrawn", "what share of FHA applications never reach a decision", "how many approved FHA loans are not taken", "why is the denied share 16.8% here and the denial rate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

基本チェックi

誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月8日にチェック

• ✓ 合格

  作者とリポジトリが一致

  レジストリ名は、リポジトリを所有するGitHubアカウント financeratecalc で確認済みです

• … 未チェック

  今もメンテナンスされている

  このリポジトリはまだGitHubから読み取っていません

• … 未チェック

  ライセンスがある

  このリポジトリはまだGitHubから読み取っていません

• ✓ 合格

  エンドポイントが応答する

  126ミリ秒で応答（HTTP 200）

• – 対象外

  OAuthでサインイン

  サインイン不要

• ✓ 合格

  ツールの説明に隠れた指示がない

  17件のツールの説明を読み、AIへの隠れた指示は見つかりませんでした

データベース・データセットのほかのサーバーとの比較i

• このカテゴリのほかの1144件のうち0%よりスターが多い
• このカテゴリのほかの1144件のうち95%より最近レジストリに公開
• 基本チェックの結果が、このカテゴリのほかの1144件のうち100%と同じかそれ以上

レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。

代わりの候補

同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。

カードの見方：↓ 週あたりのダウンロードi★ GitHubスターi3つの柱：レビュー · チェック · 利用状況i更新＝最新バージョンをレジストリに公開した日i

作者のREADME

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

{