# io.github.flarco/sling-cli

> Use this tool when you need to manage data pipelines and replication across multiple systems, solving problems of data consistency and synchronization. It provides a command-line interface for interacting with the MCP server, accepting inputs such as pipeline configurations and replication rules, and producing outputs like data transfer logs and status reports. Ideal for use cases involving distributed data processing and integration, such as big data analytics and cloud migrations.

Canonical page: https://skillsregistry.net/skills/io-github-flarco-sling-cli  
JSON: https://api.skillsregistry.net/v1/skills/io-github-flarco-sling-cli

## Description

Sling CLI MCP server for data pipeline and replication management

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.4.24
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-05-09

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.flarco%2Fsling-cli)

## 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": "io-github-flarco-sling-cli"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-flarco-sling-cli` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-flarco-sling-cli/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