# compoid-mcp

> Use this tool when you need to efficiently manage repositories with natural language commands, solving problems like tedious record searching and artifact downloading. The compoid-mcp tool takes in natural language inputs and outputs managed repository entries, downloaded artifacts, and community updates. It is ideal for use cases where streamlined repository management and automated workflows are required.

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

## Description

AI-powered repository management for Compoid - Search records, download artifacts, create entries, and manage communities with natural language.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/compoid/compoid-mcp)
- **Repository:** <https://github.com/compoid/compoid-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": "compoid-compoid-mcp"
    }
  }
}
```

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