# mcp-task-orchestrator

> mcp-task-orchestrator — echoingvesper-mcp-task-orchestrator. Use this tool when you need to manage and coordinate tasks for AI assistants, providing a centralized server for Model Context Protocol. It solves problems of task complexity and synchronization, accepting inputs from git repositories and outputting orchestrated task workflows. Ideal for use cases requiring automated task management and AI model integration.

Canonical page: https://skillsregistry.net/skills/echoingvesper-mcp-task-orchestrator  
JSON: https://api.skillsregistry.net/v1/skills/echoingvesper-mcp-task-orchestrator

## Description

A Model Context Protocol server that provides task orchestration capabilities for AI assistants

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/EchoingVesper/mcp-task-orchestrator)

## 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": "echoingvesper-mcp-task-orchestrator"
    }
  }
}
```

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