# pipelane-server

> pipelane-server — shiveshnavin-pipelane-server. Use this tool when you need to schedule and orchestrate tasks with ease, leveraging Agentic AI MCP support for efficient workflow management. It solves problems related to automating and streamlining complex processes, integrating with git for seamless version control. Ideal for use cases requiring lightweight yet powerful scheduling and orchestration, with simple interface for inputs and outputs.

Canonical page: https://skillsregistry.net/skills/shiveshnavin-pipelane-server  
JSON: https://api.skillsregistry.net/v1/skills/shiveshnavin-pipelane-server

## Description

An extremely light Scheduler and Orchestrator with Agentic AI MCP support

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/shiveshnavin/pipelane-server)

## 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": "shiveshnavin-pipelane-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/shiveshnavin-pipelane-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/shiveshnavin-pipelane-server/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
