# MCP Task

> Use this tool when you need to run complex AI workflows with multiple models, requiring real-time progress monitoring and management. It solves problems of inefficient task management and limited visibility into long-running AI processes, enabling users to start, monitor, and control tasks asynchronously. Ideal for use cases involving multiple models, large datasets, or time-consuming computations.

Canonical page: https://skillsregistry.net/skills/just-every-mcp-task  
JSON: https://api.skillsregistry.net/v1/skills/just-every-mcp-task

## Description

Async MCP server for running long-running AI tasks with real-time progress monitoring, enabling users to start, monitor, and manage complex AI workflows across multiple models.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/c6q91vgwtv)
- **Repository:** <https://github.com/just-every/mcp-task>

## 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": "just-every-mcp-task"
    }
  }
}
```

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