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Fdic Banks MCP Server

제작자: cyanheads버전 0.3.0i★ –i컴퓨터 또는 클라우드
레지스트리 이름io.github.cyanheads/fdic-banks-mcp-server

설치

개요

제작자가 쓴 설명(영어 원문)

Search FDIC-insured banks, Call Report financials, peer rankings, failures, mergers, deposit share.

PopNx MCP의 세 기둥

이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.

할 수 있는 일

이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.

  • 연결 방식: 컴퓨터 또는 클라우드
  • 전송 방식: stdio, Streamable HTTP
  • 카테고리: 검색 및 AI 기억

설치

쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.

설치하기 전에

  • 기본 점검: 3개 중 3개 통과
  • 제작자의 서버에서 실행돼요. 내가 요청한 내용은 제작자의 서버를 거쳐요.
  • 할 수 있는 일 10가지(도구) fdic_search_institutions, fdic_get_institution_financials, fdic_get_institution_history, fdic_compare_peers …
  • 직접 입력할 값: FDIC_RATE_LIMIT_RPS, FDIC_CACHE_TTL_SECONDS, FDIC_PANEL_MAX_ROWS, FDIC_DATASET_TTL_SECONDS, FDIC_DATAFRAME_DROP_ENABLED, MCP_LOG_LEVEL

필요한 것

어떤 앱을 쓰세요?

위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.

웹, 데스크톱, 모바일의 Claude에서 쓸 수 있어요:

  1. Settings → Connectors 열기
  2. Add custom connector 누르기
  3. 아래 주소를 붙여 넣고 Add 누르기
  4. 로그인하라고 하면 제작자의 서비스에 로그인하기
SettingsConnectors1+ Add2https://…3
https://fdic-banks.caseyjhand.com/mcp

또는 내 컴퓨터에서 실행하기

Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요

{
  "mcpServers": {
    "fdic-banks": {
      "command": "npx",
      "args": [
        "-y",
        "@cyanheads/fdic-banks-mcp-server"
      ],
      "env": {
        "FDIC_RATE_LIMIT_RPS": "your-value",
        "FDIC_CACHE_TTL_SECONDS": "your-value",
        "FDIC_PANEL_MAX_ROWS": "your-value",
        "FDIC_DATASET_TTL_SECONDS": "your-value",
        "FDIC_DATAFRAME_DROP_ENABLED": "your-value",
        "MCP_LOG_LEVEL": "your-value"
      }
    }
  }
}

터미널에서 이 명령어를 실행하세요

claude mcp add --transport http fdic-banks https://fdic-banks.caseyjhand.com/mcp

또는 내 컴퓨터에서 실행하기

claude mcp add fdic-banks --env FDIC_RATE_LIMIT_RPS=your-value --env FDIC_CACHE_TTL_SECONDS=your-value --env FDIC_PANEL_MAX_ROWS=your-value --env FDIC_DATASET_TTL_SECONDS=your-value --env FDIC_DATAFRAME_DROP_ENABLED=your-value --env MCP_LOG_LEVEL=your-value -- npx -y @cyanheads/fdic-banks-mcp-server

실행하기 전에 빈 값을 채워 주세요.

Cursor에서 열기

또는 설정을 직접 복사하기

프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요

{
  "mcpServers": {
    "fdic-banks": {
      "url": "https://fdic-banks.caseyjhand.com/mcp"
    }
  }
}

또는 내 컴퓨터에서 실행하기

Cursor에서 열기

또는 설정을 직접 복사하기

프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요

{
  "mcpServers": {
    "fdic-banks": {
      "command": "npx",
      "args": [
        "-y",
        "@cyanheads/fdic-banks-mcp-server"
      ],
      "env": {
        "FDIC_RATE_LIMIT_RPS": "your-value",
        "FDIC_CACHE_TTL_SECONDS": "your-value",
        "FDIC_PANEL_MAX_ROWS": "your-value",
        "FDIC_DATASET_TTL_SECONDS": "your-value",
        "FDIC_DATAFRAME_DROP_ENABLED": "your-value",
        "MCP_LOG_LEVEL": "your-value"
      }
    }
  }
}

브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.

VS Code에서 열기

또는 설정을 직접 복사하기

프로젝트의 .vscode/mcp.json에 붙여 넣으세요

{
  "servers": {
    "fdic-banks": {
      "type": "http",
      "url": "https://fdic-banks.caseyjhand.com/mcp"
    }
  }
}

또는 내 컴퓨터에서 실행하기

VS Code에서 열기

또는 설정을 직접 복사하기

프로젝트의 .vscode/mcp.json에 붙여 넣으세요

{
  "servers": {
    "fdic-banks": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@cyanheads/fdic-banks-mcp-server"
      ],
      "env": {
        "FDIC_RATE_LIMIT_RPS": "your-value",
        "FDIC_CACHE_TTL_SECONDS": "your-value",
        "FDIC_PANEL_MAX_ROWS": "your-value",
        "FDIC_DATASET_TTL_SECONDS": "your-value",
        "FDIC_DATAFRAME_DROP_ENABLED": "your-value",
        "MCP_LOG_LEVEL": "your-value"
      }
    }
  }
}

브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.

ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요:

  1. 웹에서 ChatGPT 열기 → Settings → Connectors (Apps)
  2. Create 또는 Add 누르기(일부 요금제는 먼저 Advanced에서 Developer mode를 켜야 해요)
  3. 아래 주소를 붙여 넣고 이름을 정한 뒤 저장하기
  4. 로그인하라고 하면 제작자의 서비스에 로그인하기
SettingsConnectors1+ Create2https://…3
https://fdic-banks.caseyjhand.com/mcp

메뉴 이름은 요금제나 시기에 따라 조금 다를 수 있어요.

선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.

직접 입력할 값

  • FDIC_RATE_LIMIT_RPS env
    Maximum request starts per second to api.fdic.gov (1–15), shared by every caller of this process.
  • FDIC_CACHE_TTL_SECONDS env
    TTL of the in-process FDIC response cache in seconds; 0 disables caching.
  • FDIC_PANEL_MAX_ROWS env
    Row cap for one fdic_query_financials panel (1,000–200,000). Newest quarters are kept when it binds.
  • FDIC_DATASET_TTL_SECONDS env
    Per-table TTL for staged dataframes, in seconds (minimum 60).
  • FDIC_DATAFRAME_DROP_ENABLED env
    Set to true to expose fdic_dataframe_drop; otherwise it is registered disabled.
  • MCP_LOG_LEVEL env
    Sets the minimum log level for output (e.g., 'debug', 'info', 'warn').

이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.

할 수 있는 일

도구 이름과 설명은 서버가 2026년 11월 7일에 알려 준 그대로예요. 우리가 아니라 제작자가 쓴 글이고, 일반 텍스트로만 보여 드려요.

  • fdic_search_institutions

    Find FDIC-insured banks and savings institutions by name, CERT, location, size, charter class, or holding company — including closed, merged, and failed institutions. Name matching is fuzzy, case-insensitive, and also matches former and trade names (a result says which it matched

  • fdic_get_institution_financials

    Get one institution's quarterly Call Report financials by CERT — balance sheet, income, returns, credit quality, and capital ratios — most recent quarter first, with its name, status, and holding company. Unsuffixed income and return metrics are single-quarter figures; _ytd metri

  • fdic_get_institution_history

    Get one institution's structure-change history by CERT, newest first: the mergers it absorbed or was absorbed in, failures and assisted takeovers, branch purchases and sales, renames, relocations, charter and regulator changes, openings, and closings, each with its effective date

  • fdic_compare_peers

    Compare one institution with a peer group for one quarter: for each metric, the institution's value next to the peer median, quartiles, minimum and maximum, and its percentile and rank. The default peer group is every institution in the same asset-size band that reported that qua

  • fdic_query_financials

    Pull a multi-institution, multi-quarter Call Report panel — one row per institution per quarter — filtered by CERTs, headquarters state, asset range, and thresholds on any catalog metric. Use it to screen (every bank in a state with a noncurrent-loan rate above 3%) or to build a

  • fdic_search_failures

    Search FDIC-insured bank failures and assistance transactions since 1934 by name, CERT, headquarters state, failure date range, resolution method, or size. Returns each event with failure date, acquirer, total assets and deposits, and the FDIC's estimated loss to the insurance fu

  • fdic_get_deposits

    Get Summary of Deposits data (branch-level domestic deposits, annual as of June 30, 1994 onward). With cert only: the institution's branches and its deposit market share in each state where it has offices. With a geography (state, county, city, ZIP, or MSA code): every institutio

  • fdic_list_reference

    List the vocabulary the other fdic_ tools accept and return: every financial metric name with its FDIC field, unit, and basis (single quarter, year-to-date, or point in time), bank charter classes, failure resolution methods, the structure-change codes fdic_get_institution_histor

  • fdic_dataframe_describe

    Describe the df_ dataframes that fdic_query_financials and fdic_get_deposits staged when a result at offset 0 was larger than one page, plus any that fdic_dataframe_query saved with register_as. Pass name (from a dataset field) for one dataframe in full: source tool, the paramete

  • fdic_dataframe_query

    Run one read-only SELECT (DuckDB SQL) across the df_ dataframes that fdic_query_financials and fdic_get_deposits staged or an earlier register_as saved; joins, aggregates, window functions, and CTEs work. Before writing SQL, pass each table name to fdic_dataframe_describe to read

기본 점검i

누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 9일 점검

  • ✓ 통과

    제작자와 저장소 일치

    레지스트리 이름이 GitHub 계정 cyanheads 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요

  • … 아직 점검 안 함

    계속 관리되고 있음

    아직 GitHub에서 이 저장소를 읽어 오지 않았어요

  • … 아직 점검 안 함

    라이선스 있음

    아직 GitHub에서 이 저장소를 읽어 오지 않았어요

  • ✓ 통과

    엔드포인트 응답

    249ms 만에 응답(HTTP 200)

  • – 해당 없음

    OAuth로 로그인

    로그인 필요 없음

  • ✓ 통과

    도구 설명에 숨겨진 지시 없음

    도구 설명 10개를 읽었고, AI에게 보내는 숨겨진 지시는 없었어요

검색 및 AI 기억 카테고리의 다른 서버와 비교i

  • 이 카테고리의 다른 서버 5759개 중 0%보다 스타가 많아요
  • 이 카테고리의 다른 서버 5759개 중 76%보다 최근에 레지스트리에 공개됐어요
  • 기본 점검 결과가 이 카테고리의 다른 서버 5759개 중 100%와 같거나 더 좋아요

레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.

자주 묻는 질문

Fdic Banks MCP Server, 안전한가요?

해당하는 기본 점검 3개 중 3개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.

어떤 키나 코드가 필요한가요?

레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.

내 컴퓨터에서 실행되나요, 클라우드에서 실행되나요?

둘 다 가능해요. 내 컴퓨터에 설치해도 되고, 클라우드 버전에 연결해도 돼요.

아직 관리되고 있나요?

GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.3.0)은 12일 전 레지스트리에 올라왔어요.

어떤 앱에서 쓸 수 있나요?

Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. URL로 연결되기 때문에, 원격 MCP 서버를 지원하는 앱(예: 개발자 모드의 ChatGPT)에서도 쓸 수 있어요.

대신 쓸 수 있는 건 뭐가 있나요?

같은 카테고리에는: Context7, Codebase Memory, Exa

대안

같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.

카드 보는 법:↓ 주간 다운로드i★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i

Context7

Up-to-date docs for AI agents

제작자: upstash널리 사용됨↓ 97.3만/주★ 6.4만3일 전 업데이트

컴퓨터 또는 클라우드

Codebase Memory

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

제작자: DeusData널리 사용됨↓ 1.8만/주★ 4.8만23일 전 업데이트

내 컴퓨터에서 실행

Exa

Connect AI agents to Exa for web search, content fetching, and multi-step research.

제작자: exa-labs널리 사용됨★ 5.2천2개월 전 업데이트

클라우드에서 실행✓ exa.ai

제작자의 README

README 열기

제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.

@cyanheads/fdic-banks-mcp-server Search FDIC-insured banks, Call Report financials, peer rankings, failures, mergers, deposit share via MCP. STDIO or Streamable HTTP. 11 Tools

Public Hosted Server: https://fdic-banks.caseyjhand.com/mcp


Overview

Every FDIC-insured bank and savings institution, open, merged, or failed, from the FDIC BankFind Suite API. Read quarterly Call Report financials back to 1984, rank a bank against peers, screen many at once, search failures since 1934, trace a bank's mergers, renames, and charter changes, and map branch deposits and market share. Credit unions are NCUA-insured and not included. No API key required.

Tools
ToolDescription
fdic_search_institutionsFind institutions by name, CERT, location, size, charter class, or holding company; returns the CERT every other tool takes
fdic_get_institution_financialsOne institution's quarterly Call Report history, most recent first, with its profile
fdic_get_institution_historyOne institution's structure-change events, newest first: mergers, failures, branch purchases, renames, relocations, and charter changes, with the other institution named
fdic_compare_peersOne institution against a peer group for one quarter: peer median, quartiles, range, percentile, and rank per metric
fdic_query_financialsMulti-bank, multi-quarter Call Report panel filtered by CERTs, state, asset range, and metric thresholds
fdic_search_failuresBank failures and assistance transactions since 1934, with totals, per-method subtotals, and optional grouping
fdic_get_depositsSummary of Deposits: an institution's branches and state market share, or a market ranked by deposits with HHI
fdic_list_referenceMetric catalog, charter classes, failure methods, structure-change codes, insurance funds, peer asset bands, and dataset coverage
fdic_dataframe_describeList staged dataframes, or describe one by name: provenance, columns, and units
fdic_dataframe_queryRun one read-only DuckDB SELECT across staged dataframes
fdic_dataframe_dropDrop a staged dataframe before its TTL; off unless FDIC_DATAFRAME_DROP_ENABLED=true
Dataframe workflow
  1. fdic_query_financials and fdic_get_deposits return one page of rows at a time (limit, offset); while rows remain, next_offset names the next page. At offset 0, when the full result is larger than limit, they also stage it as a df_XXXXX_XXXXX table and name it in the dataset field; later pages never stage.
  2. Pass that name to fdic_dataframe_describe for the table's columns, units, and basis.
  3. Query it with fdic_dataframe_query: joins, aggregates, window functions, and CTEs across every staged table. register_as saves a result as a new table.
  4. Tables expire after FDIC_DATASET_TTL_SECONDS (default 24 hours). The live tables hold 1,000,000 rows together, and the oldest are dropped past that.

Staging runs on DuckDB and is on by default; CANVAS_PROVIDER_TYPE=none turns it off. The Claude Desktop .mcpb bundle ships without DuckDB's native binding and sets CANVAS_PROVIDER_TYPE=none, so there the two producers return their rows a page at a time, continued with offset and next_offset, the dataframe tools report that dataframes are off, and every other tool works normally.

Capability reference

fdic_search_institutions tool
  • Filters: name (up to 100 characters; every word must match a current, former, or trade name), certs (first 50 unique), state, city, bank_classes, min_assets / max_assets (thousands of US dollars), holding_company_rssd
  • status is active, inactive, or any; it defaults to any when name or certs is given and active otherwise, and status_filter reports the value applied
  • Up to 100 per page (default 20), paged with offset / next_offset. Records carry active, successor_cert for merged or failed banks, holding_company.rssd, and matched_on; CERTs with no record land in missing_certs

fdic_get_institution_financials tool
  • cert required; up to 25 metrics (default: a 15-metric health set); quarters accepts 1–10,000 and queries at most 200 (default 8), bounded by from_date / to_date as 2025-03-31, 20250331, or 2025Q1
  • Rows run most recent first, each a values map of metric → number, null when not reported; metric_definitions gives each metric's FDIC field, unit, and basis
  • quarters_available counts the quarters in the window; an unknown CERT fails as cert_not_found

fdic_get_institution_history tool
  • cert required; event_types (omitted = every type but branch) selects from merger, failure_or_assistance, branch_purchase, name_change, relocation, charter_change, opening, closing, other, and branch (branch-level openings, closings, sales, and relocations); from_date / to_date (YYYY-MM-DD, inclusive) bound the effective date
  • Events run newest first. Each carries effective_date, event_type, change_code, change_description, and role (subject, outgoing, survivor, buyer, seller), plus counterparty (CERT and name of the other institution), changes (former and new values of name, address, city, state, class, chartering agency, regulator), branch (the office, on branch events), and transaction_number (shared by the rows of one deal) where FDIC recorded them. A merger or failure appears once, whichever side the CERT was on
  • limit (default 50, no maximum) and offset page the list; total, next_offset, and event_types_filter report the match; data_as_of is the history index build time. Mergers start in 1969 and failures in 1970; an unknown CERT fails as cert_not_found

fdic_compare_peers tool
  • cert required; report_date defaults to the latest published quarter (report_date_defaulted); up to 20 metrics
  • Peer group: peer_asset_band (same by default, any, under_100m, 100m_1b, 1b_10b, 10b_250b, over_250b) plus an optional peer_state, or peer_certs (first 200 unique); peer_certs can't be combined with the band or state (conflicting_peer_filters)
  • Each comparison returns value, peer_median, peer_p25 / peer_p75, peer_min / peer_max, percentile, and rank of rank_of, over the peer_count_with_value peers that reported the metric; peer_cohort_incomplete marks a peer group only partly processed

fdic_query_financials tool
  • Filters: up to 100 certs, state, min_assets / max_assets, up to 5 metric_filters (metric with min and/or max), and up to 30 metrics; from_date / to_date default to the latest published quarter
  • limit (default 50) rows per page, ordered by sort_by / sort_order, continued with offset / next_offset; at offset 0 a larger panel is also staged whole as a dataframe
  • The panel is capped at FDIC_PANEL_MAX_ROWS (default 50,000), keeping the newest quarters; total_matching, rows_fetched, and panel_truncated report what was left out

fdic_search_failures tool
  • Filters: name, certs (first 50 unique; most events before 1977 carry none), state, from_date / to_date (YYYY-MM-DD), methods, min_assets; resolution is failure by default, or assistance or all
  • summary totals every matching event with a by_method breakdown; group_by (year, state, method, insurance_fund) adds groups
  • total_assets_missing_count, total_deposits_missing_count, and estimated_loss_missing_count count unreported amounts, and a total is null when no match has a recorded amount. sort by date, loss, or assets; up to 200 per page (default 25)

fdic_get_deposits tool
  • cert alone returns the institution's branches and deposit share in each state (mode: "institution"); a geography (state, county, city, zip, msa_code) ranks every institution in that market with hhi (market); both together give institution_in_market. county and city require state
  • year from 1994 on, defaulting to the latest survey (year_defaulted); deposits are domestic branch deposits as of June 30, in thousands of US dollars
  • limit (default 25) rows per page, continued with offset / next_offset; at offset 0 a larger set is also staged as a dataframe, and total_rows gives the full count

fdic_list_reference tool
  • One topic per call: metrics, bank_classes, failure_methods, change_codes, insurance_funds, peer_asset_bands, or coverage
  • metrics lists all 49 metric names with FDIC field, unit, basis, caveat, and in_default_set; change_codes lists the 41 FDIC structure-change codes with their event_type and level (institution, branch, or both); served from built-in tables with no request to FDIC

fdic_dataframe_describe tool
  • name (a df_XXXXX_XXXXX from a dataset field) returns that table's source tool, parameters, row count, expiry, column_schema, and column_units
  • Without name, lists live tables newest first, 50 per page, paged with offset / next_offset; over HTTP with MCP_AUTH_MODE=none listing is off and fails as listing_unavailable
  • Fails as canvas_unavailable when dataframe staging is off

fdic_dataframe_query tool
  • One SELECT per call, up to 20,000 characters; writes, DDL, file-reading functions, and system catalogs are rejected with typed reasons (non_select_statement, denied_function, system_catalog_access, and others)
  • row_limit accepts 1–1,000,000 (default 1,000) and executes at most 10,000; row_count_capped reports when more rows matched. preview sets the inl

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