# pinchtask

> pinchtask — raven-1027-pinchtask. Use this tool when you need to manage and coordinate tasks for AI agents in a structured and efficient manner. Pinchtask solves problems of disorganized task assignment and tracking, providing a centralized server for task management through the Model Context Protocol (MCP). It accepts inputs from git and outputs organized task assignments, making it ideal for use cases involving multiple AI agents and complex task workflows.

Canonical page: https://skillsregistry.net/skills/raven-1027-pinchtask  
JSON: https://api.skillsregistry.net/v1/skills/raven-1027-pinchtask

## Description

A task management server based on Model Context Protocol (MCP), providing structured task management for AI agents

## Trust

- **Trust score (0–1):** 0.43
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/Raven-1027/pinchtask)

## 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": "raven-1027-pinchtask"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/raven-1027-pinchtask` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/raven-1027-pinchtask/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