# com.llm-bus/llm-bus

> Use this tool when you need to coordinate multiple AI agents and manage complex interactions between them. It solves problems of agent synchronization, task allocation, and data consistency by providing features like atomic claims, leases, and shared ledger. This tool is ideal for use cases requiring multi-agent collaboration, such as distributed task processing, and accepts inputs like task assignments and agent status, producing outputs like coordinated actions and shared state.

Canonical page: https://skillsregistry.net/skills/com-llm-bus-llm-bus  
JSON: https://api.skillsregistry.net/v1/skills/com-llm-bus-llm-bus

## Description

Coordinate multiple AI agents over MCP: atomic claims, leases, shared ledger, handoffs, tasks.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-06-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.llm-bus%2Fllm-bus)
- **Repository:** <https://github.com/danieldoderlein/llm-bus>

## Use it

MCP endpoint published by the skill: `https://mcp.llm-bus.com/mcp`

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": "com-llm-bus-llm-bus"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/com-llm-bus-llm-bus` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/com-llm-bus-llm-bus/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