MCP server

NCUA credit union data

io.github.bnovarini/ncua-data-analysis

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

NCUA call report data for US credit unions, 2018-2026: profiles, peer comparison, time series.

Source

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

13

Token cost

About 6,427 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http ncua-data-analysis https://ncua-data-analysis.fly.dev/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.ncua-data-analysis]
url = "https://ncua-data-analysis.fly.dev/mcp"

Gemini CLI

{"mcpServers":{"ncua-data-analysis":{"httpUrl":"https://ncua-data-analysis.fly.dev/mcp"}}}

Cursor

{"mcpServers":{"ncua-data-analysis":{"url":"https://ncua-data-analysis.fly.dev/mcp"}}}

VS Code

{"servers":{"ncua-data-analysis":{"type":"http","url":"https://ncua-data-analysis.fly.dev/mcp"}}}

Antigravity

agy mcp add ncua-data-analysis https://ncua-data-analysis.fly.dev/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"ncua-data-analysis","server_url":"https://ncua-data-analysis.fly.dev/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"ncua-data-analysis","server_url":"https://ncua-data-analysis.fly.dev/mcp"}

Tools

• bank_metric_series ~670 tokens
  Time series of one ratio or reported field for FDIC-insured banks, 2018-03 to 2026-06. Give cert (the FDIC certificate number) for one bank. Otherwise it aggregates all domestic insured banks matching the optional state (2-letter code) / size_band (1-5: under $100M, $100M-$500M, $500M-$1B, $1B-$10B,
• bank_peer_compare ~318 tokens
  One bank against its peers in a quarter (default latest): value, peer median, quartiles and percentile rank for efficiency_ratio, roa_ytd, net_interest_margin_ytd and noninterest_income_share. Percentile rank is the share of peers at or below the bank's value; for efficiency_ratio lower is better. G
• bank_quarter_income ~375 tokens
  Single-quarter income for one FDIC-insured bank, 2018-03 to 2026-06: the official quarterly net income as published by the FDIC, plus the naive year-to-date difference with a flag where the two disagree (for example merger pushdown accounting). Give the FDIC cert number and either one quarter (defau
• credit_union_profile ~148 tokens
  Profile of one credit union for one quarter (default latest): attributes, size, and every computed metric with its plain-language definition available through list_fields. Returns null values where NCUA data has none.
• cu_quarter_income ~372 tokens
  Single-quarter income for one credit union: net income, interest income, interest expense, noninterest income and noninterest expense per quarter (dollars), 2018-03 to the latest quarter. Give cu_number and either one quarter (default latest) or a start-end range. Derived by this project from consec
• find_bank ~437 tokens
  Find FDIC-insured banks by name, state or city, in a given quarter (default: latest). Name matching ignores case and punctuation and drops the words 'national association', 'bank', 'the' and 'N.A.', so 'JPMorgan' finds JPMORGAN CHASE BANK, NATIONAL ASSOCIATION; partial names work. Results are ranked
• find_credit_union ~486 tokens
  Find credit unions by name, state, charter type (federal/state) or asset peer group, in a given quarter (default: latest). Name matching ignores case, punctuation and the words 'federal credit union' / 'FCU', so 'SRP Federal Credit Union' finds 'SRP'; partial names work. It also matches former names
• list_bank_fields ~102 tokens
  Dictionary of available bank fields, source, units and employee definitions. Bank fields are separate from the NCUA list_fields dictionary.
• list_fields ~671 tokens
  List available fields with plain-language definitions from the data dictionary. Filter by table ('metrics' = computed ratios, 'fact_call_report_curated' = reported amounts, 'dim_credit_union' = attributes), by search text, or both. Fields marked basis=year_to_date reset each January; metric_series c
• metric_series ~912 tokens
  Time series of one metric or reported field. Give cu_number for one credit union. Otherwise it aggregates all federally insured credit unions matching the optional state (2-letter code) / peer_group (1-6) / min_assets filters: aggregate='median' (default for ratios), 'mean', 'sum' (default for dolla
• peer_compare ~707 tokens
  Compare one credit union with its peers on chosen metrics or fields (default: a standard set). peer_basis: 'peer_group' (same asset-size group, default), 'state', 'charter_type', or 'peer_group_and_state'. Returns the credit union's value, peer median, 25th/75th percentiles, percentile rank (0-100,
• query_metrics ~830 tokens
  Constrained table query, one quarter at a time (default latest), federally insured credit unions only. Pick fields to return, optional filters as [{'field':..., 'op': one of = != > >= < <= in contains, 'value':...}], an order_by field and limit (1 to 200). If more rows match than the limit, the last
• revenue_per_employee ~399 tokens
  Revenue per employee/FTE with explicit inputs, same-quarter state ranking across banks and/or credit unions. sector='both', 'bank' or 'credit_union'. revenue_basis='net' (after interest expense, default) or 'gross'. Annualized year-to-date run rate, not actual full-year revenue. State filters headqu

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