# mcp-ecosystems

> mcp-ecosystems — pipeworx-io-mcp-ecosystems. Use this tool when you need to manage and package MCP ecosystems using git, solving version control and collaboration problems for ecosystem development. It provides an interface for packaging and managing ecosystem components, taking in git repositories as input and outputting packaged MCP ecosystems. Ideal for use cases involving ecosystem development, deployment, and maintenance.

Canonical page: https://skillsregistry.net/skills/pipeworx-io-mcp-ecosystems  
JSON: https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-ecosystems

## Description

ecosyste.ms Packages MCP.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/pipeworx-io/mcp-ecosystems)

## 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": "pipeworx-io-mcp-ecosystems"
    }
  }
}
```

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