# io.github.stefanoamorelli/fred-mcp-server

> Use this tool when you need to access and retrieve large datasets of economic time series, solving problems related to economic research and analysis. It provides an interface to query and retrieve data from the Federal Reserve Economic Data (FRED) database, accepting queries as input and returning relevant economic time series data as output. Ideal for use cases requiring extensive economic data, such as macroeconomic research, forecasting, and data-driven decision making.

Canonical page: https://skillsregistry.net/skills/io-github-stefanoamorelli-fred-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/io-github-stefanoamorelli-fred-mcp-server

## Description

Federal Reserve Economic Data (FRED) MCP Server - Access all 800,000+ economic time series

## Trust

- **Trust score (0–1):** 0.84
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.stefanoamorelli%2Ffred-mcp-server)
- **Repository:** <https://github.com/stefanoamorelli/fred-mcp-server>

## 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": "io-github-stefanoamorelli-fred-mcp-server"
    }
  }
}
```

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