# AdaptOrch MCP

> Use this tool when you need to streamline task management and automate workflows, solving problems of inefficiency and disorganization in complex processes. AdaptOrch MCP takes in tasks and launch parameters as inputs and outputs evidence artifacts and run results, providing a reliable and integrated solution. It is ideal for use cases requiring orchestrated runs and artifact retrieval, such as DevOps, testing, and deployment pipelines.

Canonical page: https://skillsregistry.net/skills/dmae97-adaptorch-mcp  
JSON: https://api.skillsregistry.net/v1/skills/dmae97-adaptorch-mcp

## Description

Lets Claude Code route tasks, launch orchestrated runs, and retrieve evidence artifacts back into the chat via the AdaptOrch reliability kernel.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/yjroyhz7ux)
- **Repository:** <https://github.com/dmae97/Adaptorch-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": "dmae97-adaptorch-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dmae97-adaptorch-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dmae97-adaptorch-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