# zswarm-mcp

> zswarm-mcp — brandonkramer-zswarm. Use this tool when you need to coordinate multiple CLI AI agents across terminal panes, streamlining workflows and enhancing productivity. It solves problems of agent management, output inspection, and signal synchronization, ideal for tasks requiring multi-agent collaboration. The tool accepts natural language inputs and outputs agent responses, signals, and worktree updates, making it perfect for complex, AI-driven projects.

Canonical page: https://skillsregistry.net/skills/brandonkramer-zswarm  
JSON: https://api.skillsregistry.net/v1/skills/brandonkramer-zswarm

## Description

Enables coordination of CLI AI agent crews across Zellij terminal panes, allowing users to spawn agents, send prompts, inspect outputs, sync signals, and manage git worktrees via natural language.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/l4q6v8pjw4)
- **Repository:** <https://github.com/brandonkramer/zswarm>

## 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": "brandonkramer-zswarm"
    }
  }
}
```

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