# AI Software Engineering Team - MCP Multi-Agent System

> Use this tool when you need to generate complete software projects from simple ideas, as it solves the problem of tedious and time-consuming software development by coordinating multiple AI agents. The MCP Multi-Agent System takes in simple project ideas as input and outputs production-ready software projects, streamlining the development process. It is ideal for use cases where rapid prototyping, automation, and efficiency are crucial, such as in agile development environments or innovation labs.

Canonical page: https://skillsregistry.net/skills/elhaweet-ai-software-engineering-team-mcp-multi-agent-system  
JSON: https://api.skillsregistry.net/v1/skills/elhaweet-ai-software-engineering-team-mcp-multi-agent-system

## Description

Enables users to generate complete, production-ready software projects from simple ideas by coordinating 8 specialized AI agents through the Model Context Protocol.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fu7o5dlsn4)
- **Repository:** <https://github.com/elhaweet/AI-Software-Engineering-Team-MCP-Multi-Agent-System>

## 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": "elhaweet-ai-software-engineering-team-mcp-multi-agent-system"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/elhaweet-ai-software-engineering-team-mcp-multi-agent-system` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/elhaweet-ai-software-engineering-team-mcp-multi-agent-system/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