# Supercoordination MCP Server

> Use this tool when you need to streamline team collaboration and task management, especially in complex projects that require skill matching and balanced energy allocation. It solves problems of inefficient teamwork, mismatched skills, and poor progress tracking by providing a unified dashboard for member registration, task assignment, and progress monitoring. The Supercoordination MCP Server takes in team member data and task requirements as inputs and outputs optimized team configurations and real-time collaboration progress.

Canonical page: https://skillsregistry.net/skills/vionwilliams-supercoordination-mcp  
JSON: https://api.skillsregistry.net/v1/skills/vionwilliams-supercoordination-mcp

## Description

A human-machine collaboration platform that manages team members and tasks using skill matching and a unique 'Five Elements' energy balance framework. It enables teams to register members, assign tasks, and monitor collaboration progress through an integrated dashboard.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/a7uiznxhle)
- **Repository:** <https://github.com/VIONWILLIAMS/supercoordination-mcp>

## 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": "vionwilliams-supercoordination-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/vionwilliams-supercoordination-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/vionwilliams-supercoordination-mcp/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