# mcp-witness

> mcp-witness — edwiniac-mcp-witness. Use this tool when you need to create secure and compliant cryptographic audit trails for AI-driven decisions, solving problems of transparency and accountability in regulated industries. It generates hash chains, Merkle trees, and RFC 3161 timestamps, with presets for HIPAA, GDPR, and SOC2 compliance. Input AI decision data and output cryptographically secure audit trails, suitable for use cases requiring high integrity and regulatory adherence.

Canonical page: https://skillsregistry.net/skills/edwiniac-mcp-witness  
JSON: https://api.skillsregistry.net/v1/skills/edwiniac-mcp-witness

## Description

🔐 Cryptographic audit trails for AI decisions — hash chains, Merkle trees, RFC 3161 timestamps, compliance presets for HIPAA/GDPR/SOC2

## Trust

- **Trust score (0–1):** 0.01
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** finance
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/edwiniac/mcp-witness)

## 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": "edwiniac-mcp-witness"
    }
  }
}
```

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