🏦 Banking & Financial Stability MCP

Banking & Financial Stability MCP is a NexGenData tool on Apify that returns bank financials, central-bank rates, enforcement and fair-lending data as agent tools from FDIC, central banks and US regulators.

One MCP connection. Bank health, regulator enforcement, and systemic-risk signals — agent-ready.

Banking & Financial Stability MCP is a Model Context Protocol server that gives any AI agent direct, structured access to the data that describes the health and supervision of the US financial system: FDIC bank financials, Federal Reserve and CFTC enforcement actions, CFPB consumer complaints and HMDA fair-lending data, FINRA broker disclosures, Reg SHO threshold lists, SEC fails-to-deliver, and global central-bank policy rates.

Connect once and call nine clean tools, each returning normalized JSON. This server covers institution-level health and supervision — it complements, rather than duplicates, our macro-series FRED + Treasury Macro MCP (which covers rates, yields, and economic indicators).

📊 Sample Output

This actor runs as a standby MCP server: it starts, answers tool calls at its /mcp endpoint and writes no dataset rows, so there is no row table to show. See the tool list and the sample inputs below.

💰 Pricing

Called-actor charges: each tool call runs one of our NexGenData data actors on your Apify account, and that actor's own per-result price is charged on top of this server's per-call fee.

Event	Price (USD)	When it is charged
Actor Start (apify-actor-start)	$0.0005	Charged when the Actor starts running. Number of events charged depends on Actor memory (one event per GB, minimum one event).
Tool call (tool-call)	$0.05	Charged each time an agent invokes one of the banking/financial-stability tools.
Bulk results (bulk-results)	$0.05	Added when a single tool call returns more than 10 records.

Pay-per-event: you pay only for what the run delivers. A run that delivers nothing bills no result events (only the actor-start event, when the actor defines one). Example: a run that delivers 100 results costs 100 × $0.05 = $5.00 plus the start fee.

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Why this exists

Financial-stability data is scattered across a dozen regulators — the FDIC, Federal Reserve, CFPB, CFTC, FINRA, and SEC — each with its own portal, format, and refresh cadence. Assembling a coherent view of a bank's health, its supervisory history, and the market-structure stress around it means stitching all of them together. This server does that once and exposes the result as agent-native tools, built on the same NexGenData infrastructure used by bank analysts, fintech risk teams, and financial journalists.

The nine tools

Tool	What it does
bank_financials	FDIC bank financial health & call-report metrics
fed_enforcement	Federal Reserve enforcement actions against banks
cftc_enforcement	CFTC enforcement (derivatives, swaps, commodities)
cfpb_complaints	CFPB consumer-finance complaints by company/product
hmda_fair_lending	HMDA mortgage data & fair-lending disparities
finra_brokercheck	FINRA broker/firm registration & disclosures
reg_sho_threshold	Reg SHO daily threshold securities (short/FTD pressure)
fails_to_deliver	SEC fails-to-deliver settlement data
central_bank_rates	Global central-bank policy rates (BIS)

Every tool accepts a criteria object and a limit, returning a uniform {tool, count, total_available, results} envelope.

Quick start

{
  "mcpServers": {
    "banking-financial-stability": {
      "url": "https://nexgendata--banking-financial-stability-mcp.apify.actor/mcp",
      "headers": { "Authorization": "Bearer YOUR_APIFY_TOKEN" }
    }
  }
}

Call a tool:

{
  "name": "bank_financials",
  "arguments": { "criteria": { "state": "TX" }, "limit": 25 }
}

Common agent workflows

Bank-health screening. Run bank_financials across a state or peer group, then layer fed_enforcement to flag institutions under supervisory action — an early-warning view of stress.

Counterparty & vendor diligence. Combine finra_brokercheck, cfpb_complaints, and cftc_enforcement to assemble a firm's regulatory and complaint history in one pass.

Fair-lending analysis. Use hmda_fair_lending to surface lenders with statistically notable approval-rate disparities.

Market-structure stress. Pair reg_sho_threshold and fails_to_deliver to watch settlement pressure on specific tickers.

Rate context. Use central_bank_rates to anchor any of the above against the global monetary backdrop.

Pricing

Pay-per-event: $0.05 per tool call, $0.05 per bulk result (>10 records), negligible session-start fee. No subscription, no seat. An agent firing 200 queries a month costs about $20 — versus the enterprise pricing of S&P Global, Moody's, or Bloomberg's regulatory feeds.

How this compares

vs. S&P Global / Moody's / Bloomberg: enterprise seats built for human analysts. This is agent-native, priced per call, and returns machine-ready JSON.

vs. raw FDIC + Fed + CFPB + CFTC + FINRA + SEC portals: each is free but isolated, with its own format and rate limit. This unifies nine of them behind one schema and one connection.

vs. our FRED + Treasury Macro MCP: that one covers macro series (rates, yields, auctions). This one covers institution-level health and supervision. Use both together for a full picture.

Companion servers

• FRED + Treasury Macro Data MCP — macro series, yield curves, auctions.
• SEC Corporate Events MCP — market-moving filings.
• Legal & IP Intelligence MCP — litigation and enforcement detail.

FAQ

Do I need regulator API keys? No — only an Apify token for the MCP endpoint.

How fresh is the data? Each tool queries its source live at call time.

Can I filter by institution, state, or date? Yes — pass those in the criteria object; supported filters depend on the source.

Is this financial advice? No. This returns public regulatory and market data for informational use only — not investment or financial advice.

Is the schema stable? Yes — every tool returns the same envelope; we version changes.

Banking & Financial Stability MCP — by NexGenData. Bank health and supervision, agent-ready.

Related NexGenData actors

• Fdic Bank Leads
• Finance MCP Server
• SEC Schedule 13Dg Activist Tracker
• Cftc Cot Position Velocity Tracker
• SEC Form D Tracker

🤖 Use with AI agents

Structured JSON built for LLM and agent pipelines — point Claude, the OpenAI Agents SDK, an n8n flow or any MCP-aware client at it.

Sample agent prompt:

Find recent CFPB complaints about WELLS FARGO & COMPANY and the latest US policy rate.