# mesh

> Use this tool when you need to coordinate multiple agents on the same repository, requiring features like presence detection, resource locking, and reliable messaging. It solves problems of agent synchronization and communication, enabling seamless collaboration and data consistency. The mesh tool takes in agent requests and repository data as inputs, producing coordinated agent actions and updated repository states as outputs.

Canonical page: https://skillsregistry.net/skills/yesitsfebreeze-mesh  
JSON: https://api.skillsregistry.net/v1/skills/yesitsfebreeze-mesh

## Description

A cross-agent communicator MCP server providing presence, resource locks, and durable messaging for coordinating multiple agents on the same repository.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rm95h06zx4)
- **Repository:** <https://github.com/yesitsfebreeze/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": "yesitsfebreeze-mesh"
    }
  }
}
```

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