# mcp-sling

> Use this tool when you need to manage workforce scheduling and calendars through natural language interactions. It solves problems related to shift management, user administration, and report generation, enabling seamless communication with the Sling platform. The tool accepts natural language inputs and returns relevant data and updates, streamlining workforce management tasks.

Canonical page: https://skillsregistry.net/skills/poncheck-mcp-sling  
JSON: https://api.skillsregistry.net/v1/skills/poncheck-mcp-sling

## Description

Enables interaction with the Sling scheduling and workforce management platform, allowing users to manage shifts, users, calendars, and reports through natural language.

## 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:** productivity
- **Updated:** 2026-06-12

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gx2ub52opy)
- **Repository:** <https://github.com/poncheck/mcp-sling>

## 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": "poncheck-mcp-sling"
    }
  }
}
```

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