# io.github.feedoracle/feedoracle-macro-mcp

> Use this tool when you need to integrate real-time macroeconomic data into your AI decision-making processes, solving problems such as market trend analysis and risk assessment. It provides inputs from 86 FRED series, regime classification, and DeFi rates, and outputs actionable signals for informed decision-making. Ideal for use cases requiring timely and accurate economic insights, such as trading, forecasting, and portfolio optimization.

Canonical page: https://skillsregistry.net/skills/io-github-feedoracle-feedoracle-macro-mcp  
JSON: https://api.skillsregistry.net/v1/skills/io-github-feedoracle-feedoracle-macro-mcp

## Description

Real-time macroeconomic signals for AI agents. 86 FRED series, regime classification, DeFi rates.

## 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:** database
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.feedoracle%2Ffeedoracle-macro-mcp)
- **Repository:** <https://github.com/feedoracle/feedoracle-macro-mcp>

## Use it

MCP endpoint published by the skill: `https://feedoracle.io/mcp/macro/sse`

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-feedoracle-feedoracle-macro-mcp"
    }
  }
}
```

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