# io.feedoracle/compliance

> Use this tool when you need to ensure regulatory compliance for AI agents, solving problems related to MiCA, DORA, and custody risk. It provides evidence scoring and checks to verify adherence to regulatory standards. This tool is ideal for use cases where compliance is crucial, accepting inputs such as AI agent data and outputting risk assessments and scores.

Canonical page: https://skillsregistry.net/skills/io-feedoracle-compliance  
JSON: https://api.skillsregistry.net/v1/skills/io-feedoracle-compliance

## Description

Regulatory compliance checks for AI agents. MiCA, DORA, custody risk, evidence scoring.

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** verified
- **Last scanned:** 2026-08-24

## Facts

- **Version:** 2.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-24

## Source

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

## Use it

MCP endpoint published by the skill: `https://feedoracle.io/mcp/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-feedoracle-compliance"
    }
  }
}
```

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