# fred-mcp

> Use this tool when you need to retrieve and query economic data from the Federal Reserve. It solves problems related to accessing and analyzing large datasets, such as series, categories, and releases, by providing a simple interface for querying and retrieving data. The tool accepts authentication keys and outputs data through stdio or HTTP transports, making it ideal for applications requiring economic data integration.

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

## Description

Enables querying and retrieving Federal Reserve Economic Data (FRED) including series, categories, releases, sources, and tags, with support for stdio and HTTP transports and bring-your-own-key authentication.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** security
- **Updated:** 2026-09-19

## Source

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

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

---
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