# Compose MCP

> Compose MCP — ai-smartmemory-compose-mcp. Use this tool when you need to manage and track features in Compose projects, solving problems of version control and change tracking. It provides a centralized interface for roadmapping, changelogs, artifacts, and journaling, taking in project data and outputting organized feature management records. Ideal for use in software development and project management contexts where typed feature management is crucial.

Canonical page: https://skillsregistry.net/skills/ai-smartmemory-compose-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ai-smartmemory-compose-mcp

## Description

Typed feature management for compose projects: roadmap, changelog, artifacts, journal.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.4.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.smartmemory%2Fcompose-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": "ai-smartmemory-compose-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-smartmemory-compose-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-smartmemory-compose-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