# agentsquad

> agentsquad — jhqian-agentsquad. Use this tool when you need to facilitate communication and collaboration among AI agents, enabling them to form teams and exchange messages. The agentsquad tool solves problems of agent discovery, team formation, and message brokering, accepting agent registrations and messages as inputs and producing managed squads and message deliveries as outputs. It is ideal for use cases requiring coordinated AI agent activity, such as multi-agent systems or distributed AI applications.

Canonical page: https://skillsregistry.net/skills/jhqian-agentsquad  
JSON: https://api.skillsregistry.net/v1/skills/jhqian-agentsquad

## Description

This MCP server acts as a message broker for AI agents, enabling them to register, discover each other, form persistent squads or ad-hoc teams, and communicate via point-to-point messaging, RPC, or pub/sub. It persists state in SQLite and offers 26 MCP tools for agent, squad, team, and message management.

## Trust

- **Trust score (0–1):** 0.59
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vk2xbirsia)
- **Repository:** <https://github.com/jhqian/agentwisper>

## 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": "jhqian-agentsquad"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jhqian-agentsquad` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jhqian-agentsquad/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