# municipal-fiscal-intelligence-mcp

> municipal-fiscal-intelligence-mcp — apifyforge-municipal-fiscal-intelligence-mcp. Use this tool when you need to analyze municipal bond credit risk or quantify financial intelligence for local governments. It solves problems related to investment decisions, risk assessment, and financial planning by providing automated and quantified analysis sourced from 7 federal government databases. The tool accepts relevant financial data as input and outputs a comprehensive credit risk analysis, making it ideal for use in financial modeling, investment research, and municipal finance applications.

Canonical page: https://skillsregistry.net/skills/apifyforge-municipal-fiscal-intelligence-mcp  
JSON: https://api.skillsregistry.net/v1/skills/apifyforge-municipal-fiscal-intelligence-mcp

## Description

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.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/apifyforge/municipal-fiscal-intelligence-mcp)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "apifyforge-municipal-fiscal-intelligence-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/apifyforge-municipal-fiscal-intelligence-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/apifyforge-municipal-fiscal-intelligence-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt