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
Basic information
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.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"municipal-fiscal-intelligence-mcp": {
"url": "https://ryanclinton--municipal-fiscal-intelligence-mcp.apify.actor/mcp"
}
}
}Tool list not available yet
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Fetch the live tool list directly from this server's endpoint using the button above.
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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