# mcp-dagster

> Use this tool when you need to integrate AI workflows with data pipelines, enabling the exploration and management of complex data workflows. It solves problems related to data pipeline monitoring, asset management, and workflow automation, providing inputs such as pipeline definitions and run statuses, and outputs like asset updates and run results. Ideal for use cases involving data-intensive AI applications, where seamless interaction with Dagster instances is required.

Canonical page: https://skillsregistry.net/skills/kyryl-opens-ml-mcp-server-dagster  
JSON: https://api.skillsregistry.net/v1/skills/kyryl-opens-ml-mcp-server-dagster

## Description

Enables AI agents to interact with Dagster instances, explore data pipelines, monitor runs, and manage assets.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-06-12

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cr0sbdd13v)
- **Repository:** <https://github.com/kyryl-opens-ml/mcp-server-dagster>

## 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": "kyryl-opens-ml-mcp-server-dagster"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kyryl-opens-ml-mcp-server-dagster` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kyryl-opens-ml-mcp-server-dagster/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