# mcp-task-scheduler

> mcp-task-scheduler — jycc-267-mcp-task-scheduler. Use this tool when you need to schedule tasks using natural language commands, leveraging the Model Context Protocol and Gemini LLM for scalable execution on Google Cloud Platform (GCP). It solves problems of automating workflows and tasks by parsing commands from Claude, integrating with git for version control. Ideal for use cases requiring flexible, AI-driven task management and automation.

Canonical page: https://skillsregistry.net/skills/jycc-267-mcp-task-scheduler  
JSON: https://api.skillsregistry.net/v1/skills/jycc-267-mcp-task-scheduler

## Description

A scalable, GCP-managed Python scheduling service that leverages the Model Context Protocol and Gemini LLM to parse and execute natural language commands from Claude.

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/jycc-267/mcp-task-scheduler)

## 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": "jycc-267-mcp-task-scheduler"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jycc-267-mcp-task-scheduler` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jycc-267-mcp-task-scheduler/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