# mcp-node-tasks-02-primitives

> mcp-node-tasks-02-primitives — krollchristensen-mcp-node-tasks-02-primitives. Use this tool when you need to manage and analyze tasks efficiently, as it provides a resource to read all tasks, a tool to add new tasks, and a prompt to analyze existing ones, with inputs and outputs handled through stdio transport, making it suitable for general task management use cases. It solves problems related to task organization and analysis, allowing for streamlined workflow management. Ideal for use in contexts where task tracking and examination are crucial.

Canonical page: https://skillsregistry.net/skills/krollchristensen-mcp-node-tasks-02-primitives  
JSON: https://api.skillsregistry.net/v1/skills/krollchristensen-mcp-node-tasks-02-primitives

## Description

MCP server for managing tasks with a resource to read all tasks, a tool to add tasks, and a prompt to analyze tasks, using stdio transport.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qrjdqm21ii)
- **Repository:** <https://github.com/krollchristensen/mcp-node-tasks-02-primitives>

## 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": "krollchristensen-mcp-node-tasks-02-primitives"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/krollchristensen-mcp-node-tasks-02-primitives` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/krollchristensen-mcp-node-tasks-02-primitives/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