# kitty-hive

> Use this tool when you need to facilitate multi-agent collaboration and communication across different clients and machines. Kitty-hive solves problems of task delegation, artifact sharing, and federation support, enabling seamless cooperation among AI agents. It takes in task requests and artifact inputs, and outputs shared resources and delegated task assignments, making it ideal for use cases requiring distributed AI workflows.

Canonical page: https://skillsregistry.net/skills/seangx-kitty-hive  
JSON: https://api.skillsregistry.net/v1/skills/seangx-kitty-hive

## Description

MCP server for multi-agent collaboration enabling AI agents to communicate, delegate tasks, and share artifacts across clients and machines with federation support.

## Trust

- **Trust score (0–1):** 0.01
- **Verification tier:** scanned
- **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/x1qelkfrcp)
- **Repository:** <https://github.com/seangx/kitty-hive>

## 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": "seangx-kitty-hive"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/seangx-kitty-hive` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/seangx-kitty-hive/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