# fred-mcp

> Use this tool when you need to access and analyze economic data from the Federal Reserve Economic Data (FRED) API using natural language queries. It solves problems related to data retrieval and exploration by allowing users to search and retrieve specific economic data series. The tool accepts natural language inputs and returns relevant economic data series as output, making it ideal for use cases that require quick and easy access to economic data.

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

## Description

Enables users to search, retrieve, and explore economic data series from the Federal Reserve Economic Data (FRED) API using natural language.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ovg71g3ki6)
- **Repository:** <https://github.com/fritzprix/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": "fritzprix-fred-mcp"
    }
  }
}
```

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