# com.timeslope/timeslope-mcp

> Use this tool when you need to research and analyze economic data from the Federal Reserve Economic Data (FRED) database, solving problems related to economic trend analysis and forecasting. It provides an interface to access and process FRED data, taking queries as input and outputting relevant economic data and insights. Ideal for use cases involving macroeconomic research, financial modeling, and data-driven decision making.

Canonical page: https://skillsregistry.net/skills/com-timeslope-timeslope-mcp  
JSON: https://api.skillsregistry.net/v1/skills/com-timeslope-timeslope-mcp

## Description

Equip AI with tools for researching economic data from Federal Reserve Economic Data (FRED).

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 0.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-02

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.timeslope%2Ftimeslope-mcp)

## Use it

MCP endpoint published by the skill: `https://mcp.timeslope.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": "com-timeslope-timeslope-mcp"
    }
  }
}
```

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