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
基本信息
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.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"municipal-fiscal-intelligence-mcp": {
"url": "https://ryanclinton--municipal-fiscal-intelligence-mcp.apify.actor/mcp"
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
此服务需要认证,获取工具列表可能需要登录或使用服务提供方的凭据。
点击上方按钮,直接连接服务器端点实时获取工具列表。
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`.
YC (S26) | Open Computer History | Continuously record your company computer work, map your workflows, help you find work worth automating, and power your agents' context

B2B competitive intelligence, live sales battlecards, 5-axis ICP prospect fit scoring, and tech stack teardowns over MCP and REST with cited public-web evidence.
不止于 CSS

See and control a real Windows PC you own — from any MCP client, locally or remotely. Observe (UIA + screenshots), click/type/drag/scroll, launch apps, owner Live View. BYOH: your machine, your key.
A curated list of references for MLOps
评论