# FXMacroData

> Use this tool when you need to analyze and predict market trends with accurate macroeconomic and FX time-series data. It solves problems related to forecasting and decision-making in foreign exchange and commodity markets by providing indicators, calendars, and Commitment of Traders (COT) reports. It takes in query parameters and outputs relevant data, making it ideal for AI agents requiring reliable market insights.

Canonical page: https://skillsregistry.net/skills/io-github-fxmacrodata-fxmacrodata  
JSON: https://api.skillsregistry.net/v1/skills/io-github-fxmacrodata-fxmacrodata

## Description

Macroeconomic and FX time-series data for AI agents: indicators, calendars, COT, forex, commodities.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

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

## Use it

MCP endpoint published by the skill: `https://fxmacrodata.com/mcp`

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-fxmacrodata-fxmacrodata"
    }
  }
}
```

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