# mcp-delivery-schedule

> mcp-delivery-schedule — theluckystrike-mcp-delivery-schedule. Use this tool when you need to generate a dated delivery schedule document that tracks milestones and due dates against quotes or work orders. It solves problems of project timeline management and deadline tracking, providing a clear overview of deliverables and late items as of a specified date. The mcp-delivery-schedule tool takes in project details and outputs a comprehensive delivery schedule document, integrating with platforms like Claude Desktop, Claude Code, and Cursor.

Canonical page: https://skillsregistry.net/skills/theluckystrike-mcp-delivery-schedule  
JSON: https://api.skillsregistry.net/v1/skills/theluckystrike-mcp-delivery-schedule

## Description

Model Context Protocol (MCP) server for delivery schedules, milestones and due dates: produces a dated delivery schedule document. Dated deliverables against a quote or a work order, and what is late as at any date you name. Works with Claude Desktop, Claude Code and Cursor.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/theluckystrike/mcp-delivery-schedule)

## 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": "theluckystrike-mcp-delivery-schedule"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/theluckystrike-mcp-delivery-schedule` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/theluckystrike-mcp-delivery-schedule/pull`

---
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
