# mcp-edmtrain

> mcp-edmtrain — pipeworx-io-mcp-edmtrain. Use this tool when you need to manage and train Electronic Document Management (EDM) systems, leveraging git capabilities to track changes and updates. It solves problems related to document version control, collaboration, and workflow automation. The tool accepts EDM system configurations as input and outputs trained models for efficient document management.

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

## Description

EDMtrain MCP.

## Trust

- **Trust score (0–1):** 0.99
- **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-edmtrain)

## 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-edmtrain"
    }
  }
}
```

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

---
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