# Masaro

> Masaro — ai-masaro-masaro. Use this tool when you need to streamline task management for teams working with AI agents, as it enables agents to claim tasks and report progress, solving collaboration and productivity challenges. It takes in task assignments and agent availability as inputs, and outputs task status and progress updates. Ideal for use in projects that involve multiple AI agents and human team members working together to achieve complex goals.

Canonical page: https://skillsregistry.net/skills/ai-masaro-masaro  
JSON: https://api.skillsregistry.net/v1/skills/ai-masaro-masaro

## Description

Task management for teams building with AI agents. Agents claim tasks and report progress.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 0.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.masaro%2Fmasaro)

## Use it

MCP endpoint published by the skill: `https://masaro.ai/api/mcp/mcp`

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": "ai-masaro-masaro"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-masaro-masaro` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-masaro-masaro/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