# iamf-sentinel-mcp

> iamf-sentinel-mcp — jlivingston-cipher-iamf-sentinel-mcp. Use this tool when you need to validate IAMF files and manage packaging plans through natural language inputs, solving conformance and packaging challenges with read-only operation by default and optional execution, and providing outputs in compiled packaging plans. It exposes IAMF conformance validation and packaging tools, enabling agents to interact with the MCP server. Ideal for use cases requiring automated validation and packaging of IAMF files.

Canonical page: https://skillsregistry.net/skills/jlivingston-cipher-iamf-sentinel-mcp  
JSON: https://api.skillsregistry.net/v1/skills/jlivingston-cipher-iamf-sentinel-mcp

## Description

MCP server exposing IAMF conformance validation and packaging tools, enabling agents to validate IAMF files and compile/manage packaging plans through natural language, with read-only operation by default and optional execution.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fu0pgmeo5z)
- **Repository:** <https://github.com/jlivingston-Cipher/iamf-sentinel-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": "jlivingston-cipher-iamf-sentinel-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jlivingston-cipher-iamf-sentinel-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jlivingston-cipher-iamf-sentinel-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
