# agent-team-mcp

> agent-team-mcp — rumblingb-agent-team-mcp. Use this tool when you need to form and manage multi-agent teams with defined roles, tasks, and dependencies. It solves problems of team organization and collaboration by optimizing task allocation and dependency resolution via Maximum Clique Problem (MCP) algorithms. The tool takes in team and task definitions as input and outputs optimized team formations, suitable for use cases like project management and workflow optimization.

Canonical page: https://skillsregistry.net/skills/rumblingb-agent-team-mcp  
JSON: https://api.skillsregistry.net/v1/skills/rumblingb-agent-team-mcp

## Description

Multi-agent team formation via MCP. Roles, tasks, dependencies.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** productivity
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/Rumblingb/agent-team-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": "rumblingb-agent-team-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rumblingb-agent-team-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rumblingb-agent-team-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