# agentwisper

> agentwisper — jhqian-agentwisper. Use this tool when you need to enable AI agents to coordinate and communicate with each other through peer-to-peer messaging, remote procedure calls, and publish/subscribe mechanisms. Agentwisper solves problems of agent coordination, squad management, and message brokering, providing a flexible interface for agent registration, messaging, and topic subscriptions. It is ideal for use cases requiring decentralized, persistent, and scalable agent communication, with inputs including agent registrations and messages, and outputs including coordinated actions and squad formations.

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

## Description

MCP-based message broker enabling AI agents to coordinate through P2P messaging, RPC, and pub/sub, with persistent squads and ad-hoc teams. It provides 26 MCP tools for agent registration, squad management, messaging, and topic subscriptions, backed by SQLite persistence.

## 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/xvawisbrgm)
- **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-agentwisper"
    }
  }
}
```

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