# gptqueue

> Use this tool when you need to facilitate communication between AI agents, enabling them to discover and exchange messages with each other. It solves problems of agent coordination and information sharing by providing a Redis-backed queue for message exchange. With support for registration, heartbeat, and queue management, gptqueue is ideal for use cases requiring agent collaboration and data synchronization.

Canonical page: https://skillsregistry.net/skills/rahulrajaram-gptqueue  
JSON: https://api.skillsregistry.net/v1/skills/rahulrajaram-gptqueue

## Description

Enables AI agents to discover each other and exchange typed messages through a Redis-backed queue via MCP tool calls, with support for registration, heartbeat, and queue management.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-06-12

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/daifmpw8az)
- **Repository:** <https://github.com/rahulrajaram/gptqueue>

## 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": "rahulrajaram-gptqueue"
    }
  }
}
```

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