# com.thenextgennexus/fred-treasury-macro-data-mcp

> Use this tool when you need to access and analyze US macroeconomic and Treasury data, including FRED series, yield curve, and auction data, to inform financial decisions and track economic trends. It provides a comprehensive macro dashboard and supports various data inputs and outputs for in-depth analysis. Ideal for use cases requiring timely and accurate US economic data, such as market research, financial modeling, and investment strategy development.

Canonical page: https://skillsregistry.net/skills/com-thenextgennexus-fred-treasury-macro-data-mcp  
JSON: https://api.skillsregistry.net/v1/skills/com-thenextgennexus-fred-treasury-macro-data-mcp

## Description

US macro & Treasury data — FRED series, yield curve, auctions, and a macro dashboard.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-09-03

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.thenextgennexus%2Ffred-treasury-macro-data-mcp)

## Use it

MCP endpoint published by the skill: `https://nexgendata-mcp-proxy.steve-corbeil.workers.dev/fred-treasury-macro-data-mcp/mcp`

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": "com-thenextgennexus-fred-treasury-macro-data-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/com-thenextgennexus-fred-treasury-macro-data-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/com-thenextgennexus-fred-treasury-macro-data-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