What data sources does it use?
Seven federal databases: USAspending, FRED, BLS, FEMA, Data.gov, Nominatim, and Congress.gov. All run in parallel per tool call.
@apifyforge
基本情報
Municipal bond credit risk analysis — automated, quantified, and sourced from 7 federal government databases — is now available as an MCP tool your AI agent can call directly.
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"municipal-fiscal-intelligence-mcp": {
"url": "https://ryanclinton--municipal-fiscal-intelligence-mcp.apify.actor/mcp"
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
このサーバーは認証が必要です。ツールの取得にはログインや提供元の認証情報が必要な場合があります。
上のボタンでサーバーのエンドポイントに接続し、ツール一覧を取得できます。
A Model Context Protocol (MCP) server that automates municipal bond credit risk analysis by pulling live data from 7 federal databases (USAspending, FRED, BLS, FEMA, Data.gov, Nominatim, Congress.gov) and applying scoring models to produce a Municipal Fiscal Stress Index, funding cliff detection, economic resilience scores, and climate disaster exposure for any U.S. municipality, county, or state. Designed for public finance analysts, portfolio managers, and AI-assisted financial advisors.
Add the Apify-hosted endpoint URL to your MCP client (e.g., Claude Desktop, Cursor, Windsurf) via the mcpServers configuration. Then ask natural-language questions like “Generate a credit brief for Phoenix, AZ” or “Compare Houston, TX and Dallas, TX on fiscal risk.” The server returns a structured JSON object with numeric scores, level labels, and raw data slices. No local installation is needed.
Seven federal databases: USAspending, FRED, BLS, FEMA, Data.gov, Nominatim, and Congress.gov. All run in parallel per tool call.
$0.045 per tool call, billed through Apify’s Standby mode as a persistent HTTP endpoint.
Seven tools: `assess_municipal_fiscal_health`, `detect_funding_cliffs`, `analyze_economic_base`, `evaluate_disaster_exposure`, `track_legislative_impact`, `compare_peer_jurisdictions`, and `generate_credit_brief`.
No. Just add the MCP server URL to your MCP client’s configuration file. The server runs on Apify’s infrastructure.
Under 90 seconds per municipality, thanks to parallel actor execution with `Promise.allSettled`.

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