# MCP Multi-Agent Server

> Use this tool when you need to automate complex business workflows across multiple domains, leveraging specialized domain agents to streamline processes and improve efficiency. The MCP Multi-Agent Server takes in business workflow inputs and outputs automated task executions, utilizing the Model Context Protocol (MCP) and FastMCP for seamless communication. Ideal for use cases requiring multi-domain automation, such as integrating disparate systems or optimizing workflow orchestration.

Canonical page: https://skillsregistry.net/skills/sunnylabtv-crypto-ai-mcp-multi-agent-public  
JSON: https://api.skillsregistry.net/v1/skills/sunnylabtv-crypto-ai-mcp-multi-agent-public

## Description

A multi-domain multi-agent system served over MCP (Model Context Protocol) with FastMCP, exposing specialized domain agents as tools to automate business workflows.

## 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:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mzagfezsm1)
- **Repository:** <https://github.com/sunnylabtv-crypto/ai_mcp_multi_agent-public>

## 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": "sunnylabtv-crypto-ai-mcp-multi-agent-public"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sunnylabtv-crypto-ai-mcp-multi-agent-public` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sunnylabtv-crypto-ai-mcp-multi-agent-public/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
