# audit-ledger-mcp

> Use this tool when you need to maintain tamper-evident records of AI-driven decisions for regulatory compliance. It solves problems related to audit logging and decision verification, particularly for EU AI Act and FCA SS1/23 evidence requirements. The tool takes in decision data as input and outputs a secure, regulator-grade ledger with 7-year retention, accessible through commands like record_decision, verify_decision, and list_decisions.

Canonical page: https://skillsregistry.net/skills/shahidh68-audit-ledger-mcp  
JSON: https://api.skillsregistry.net/v1/skills/shahidh68-audit-ledger-mcp

## Description

Tamper-evident audit logging for AI decisions. Three tools (record_decision, verify_decision, list_decisions) write to a regulator-grade ledger built on AWS S3 Object Lock with 7-year retention. Designed for EU AI Act Article 12 and FCA SS1/23 evidence requirements. Try zero-config: npx audit-ledger-mcp boots in sandbox mode against a public hosted tenant.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pp2g6krhk7)
- **Repository:** <https://github.com/shahidh68/audit-ledger-mcp>

## 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": "shahidh68-audit-ledger-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/shahidh68-audit-ledger-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/shahidh68-audit-ledger-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