# FRED

> Use this tool when you need to access comprehensive economic data, including GDP, inflation, and employment figures, to inform research, analysis, or decision-making. FRED provides thousands of US and international economic time series through a simple, authentication-free interface. It solves problems related to economic research, forecasting, and data-driven insights, accepting queries and returning relevant data series as output.

Canonical page: https://skillsregistry.net/skills/pipeworx-io-fred  
JSON: https://api.skillsregistry.net/v1/skills/pipeworx-io-fred

## Description

FRED provides Federal Reserve Economic Data from the St. Louis Fed's FRED database through the Pipeworx gateway. Access thousands of US and international economic time series including GDP, inflation, and employment data. Free with no authentication required.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/pipeworx-io-fred)
- **Repository:** <https://github.com/pipeworx-io/mcp-fred>

## 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": "pipeworx-io-fred"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-fred` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-fred/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