apifyforge/municipal-fiscal-intelligence-mcp
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.
Platform-specific configuration:
{
"mcpServers": {
"municipal-fiscal-intelligence-mcp": {
"command": "npx",
"args": [
"-y",
"municipal-fiscal-intelligence-mcp"
]
}
}
}Add the config above to .claude/settings.json under the mcpServers key.
> [View on ApifyForge](https://apifyforge.com/actors/mcp-servers/municipal-fiscal-intelligence-mcp) | [Use on Apify Store](https://apify.com/ryanclinton/municipal-fiscal-intelligence-mcp)
---
Add to your MCP client (Claude Desktop, Cursor, Windsurf):
{
"mcpServers": {
"municipal-fiscal-intelligence-mcp": {
"url": "https://ryanclinton--municipal-fiscal-intelligence-mcp.apify.actor/mcp"
}
}
}---
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. This server delivers a Municipal Fiscal Stress Index, federal funding cliff detection, economic base resilience scoring, and climate disaster exposure assessment for any US municipality, county, or state. Connect once to Claude, Cursor, or any MCP-compatible client, then ask natural-language questions about local government financial health.
The server runs in Apify's Standby mode as a persistent HTTP endpoint. It executes up to 7 data actors in parallel — USAspending, FRED, BLS, FEMA, Data.gov, Nominatim, and Congress.gov — then applies 4 independent scoring models to produce structured credit intelligence. No ETL pipeline required. No API key management per source. One MCP endpoint handles everything, billed at $0.045 per tool call.
| Data Point | Source | Example | |------------|--------|---------| | 📊 Federal grants and obligations | USAspending | $847M across 34 awards — high federal dependency | | 📈 GDP growth rate | FRED | 1.8% annual growth — below national average | | 👷 Employment sector diversity | BLS | 12 sectors, HHI 0.09 — diversified economic base | | 🌪️ FEMA disaster declarations | FEMA | 18 major disasters since 2000 — accelerating frequency | | 📂 Debt and pension datasets | Data.gov | 6 pension underfunding datasets flagged | | 📍 Geocoded ha
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