# MCP TaskManager

> Use this tool when you need to manage and execute tasks efficiently, solving problems of task organization and automation in a queue-based system. The MCP TaskManager takes in task requests and outputs execution results, supporting planning, execution, and completion phases. It is ideal for use cases requiring streamlined task management, such as workflow automation and job scheduling.

Canonical page: https://skillsregistry.net/skills/rudra-ravi-mcp-taskmanager  
JSON: https://api.skillsregistry.net/v1/skills/rudra-ravi-mcp-taskmanager

## Description

A Model Context Protocol server that allows Claude Desktop to manage and execute tasks in a queue-based system, supporting planning, execution, and completion phases.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-02

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/en4d8yt3dl)
- **Repository:** <https://github.com/Rudra-ravi/mcp-taskmanager>

## 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": "rudra-ravi-mcp-taskmanager"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rudra-ravi-mcp-taskmanager` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rudra-ravi-mcp-taskmanager/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