# Vibsync

> Vibsync — snakaya-vibsync-mcp. Use this tool when you need to enhance collaboration and knowledge retention for AI coding agents like Claude Code, Cursor, and Codex. Vibsync provides long-term team memory and live work context, storing discoveries, decisions, and tasks across sessions and machines. It solves problems of knowledge loss and context switching, ideal for use cases where AI agents work on complex, ongoing projects requiring shared understanding and continuity.

Canonical page: https://skillsregistry.net/skills/snakaya-vibsync-mcp  
JSON: https://api.skillsregistry.net/v1/skills/snakaya-vibsync-mcp

## Description

Vibsync gives Claude Code, Cursor, Codex, and other AI coding agents long-term team memory and live work context. It carries both what the team knows — discoveries, fixes, failed approaches, product rules, and decisions — and what the team is doing now — questions, tasks, ownership, and active work areas — across sessions and machines.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-03

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/x4fv1y4vdc)
- **Repository:** <https://github.com/loosedays/vibsync-mcp>

## 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": "snakaya-vibsync-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/snakaya-vibsync-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/snakaya-vibsync-mcp/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
