# herdr-mesh

> herdr-mesh — runchr-works-herdr-mesh. Use this tool when you need to orchestrate multi-agent workflows and enable real-time communication between agents. Herdr-mesh solves problems of workflow management, pane organization, and handoff coordination, providing a seamless experience for users. It takes in workflow definitions and agent inputs, outputting managed workflows and contextual handoffs, ideal for use cases requiring complex task coordination and collaboration.

Canonical page: https://skillsregistry.net/skills/runchr-works-herdr-mesh  
JSON: https://api.skillsregistry.net/v1/skills/runchr-works-herdr-mesh

## Description

An MCP server for orchestrating multi-agent workflows inside herdr, enabling real-time communication, pane management, and contextual handoffs.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/runchr-works/herdr-mesh)

## 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": "runchr-works-herdr-mesh"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/runchr-works-herdr-mesh` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/runchr-works-herdr-mesh/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