# FeedOracle Risk MCP

> Use this tool when you need to assess and manage stablecoin risk, as it provides real-time monitoring and risk scoring for various stablecoins, including RLUSD, USDT, and USDC, to help identify potential risks such as depeg probability and reserve drift. It offers 13 tools covering key risk areas, including CCI concentration risk, and provides clear verdicts of SAFE, CAUTION, or AVOID. Ideal for use cases requiring MiCA Art.25/35 compliance, such as financial institutions and investors seeking to mitigate stablecoin-related risks.

Canonical page: https://skillsregistry.net/skills/feedoracle-feedoracle-mcp-risk  
JSON: https://api.skillsregistry.net/v1/skills/feedoracle-feedoracle-mcp-risk

## Description

Stablecoin risk intelligence MCP — 13 tools covering CCI concentration risk, reserve drift, depeg probability, and risk scoring for RLUSD, USDT, USDC, EURC. Real-time monitoring with SAFE/CAUTION/AVOID verdicts. MiCA Art.25/35 relevant.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/g3s1jmx8mb)
- **Repository:** <https://github.com/feedoracle/-feedoracle-mcp-risk>

## 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": "feedoracle-feedoracle-mcp-risk"
    }
  }
}
```

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