# FRED API MCP Server

> Use this tool when you need to retrieve economic data from the Federal Reserve Economic Data (FRED) API, solving problems related to data analysis and research by providing access to time series, categories, releases, and popular indicators. It accepts queries as input and returns relevant economic data as output, enabling informed decision-making and data-driven insights. Ideal for use cases involving economic research, forecasting, and data analysis.

Canonical page: https://skillsregistry.net/skills/dracepj-fred-mcp  
JSON: https://api.skillsregistry.net/v1/skills/dracepj-fred-mcp

## Description

Enables searching and retrieving economic data from the Federal Reserve Economic Data (FRED) API, including time series, categories, releases, and popular indicators.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/h9i5qrlpei)
- **Repository:** <https://github.com/dracepj/fred-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": "dracepj-fred-mcp"
    }
  }
}
```

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