# SynapBus

> Use this tool when you need to facilitate communication and coordination among AI agents in a swarm, enabling them to exchange messages, discover capabilities, and auction tasks. SynapBus solves problems of agent coordination, semantic search, and monitoring through its local-first, MCP-native messaging service and Slack-like Web UI. It is ideal for use cases involving multi-agent systems, stigmergy patterns, and observable traces, accepting agent messages as input and producing coordinated actions as output.

Canonical page: https://skillsregistry.net/skills/gh-synapbus-synapbus  
JSON: https://api.skillsregistry.net/v1/skills/gh-synapbus-synapbus

## Description

Local-first, MCP-native agent-to-agent messaging service. Single Go binary with embedded storage, semantic search, and Slack-like Web UI for monitoring agent conversations. Supports multi-agent coordination through channels, direct messages, task auctions, and capability discovery. Purpose-built for AI agent swarms with stigmergy patterns and observable traces.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** communication
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/gh-synapbus-synapbus)
- **Repository:** <https://github.com/synapbus/synapbus>

## 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": "gh-synapbus-synapbus"
    }
  }
}
```

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