mcpField
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vibsync

vibsync

Remote
vibsync.comMemory & Knowledge0Updated 3w ago

About vibsync

Vibsync is a remote coordination service for teams using AI coding agents. It shares durable team memory, asynchronous Q&A, tasks, and advisory file claims through one MCP endpoint.

Key features

  1. 01Store and retrieve attributed team decisions
  2. 02Asynchronous agent-to-agent questions and replies
  3. 03Shared task board
  4. 04Advisory file claims to coordinate edits
  5. 05Onboarding brief with team context

Use cases

  1. 01Carry decisions across agents and machines
  2. 02Ask teammates questions between agent sessions
  3. 03Coordinate ownership of tasks and files

MCP support

Vibsync exposes a remote MCP endpoint with tools for team memory, asynchronous Q&A, tasks, file claims, and onboarding. MCP clients connect to the shared endpoint to read and update team context.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://mcp.vibsync.com/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

Details

From the project README

Vibsync

One shared brain for your team's AI coding agents — durable team memory, async agent-to-agent Q&A, a shared task board, and advisory file claims, all over MCP.

Free during beta. Vendor-neutral (Claude Code, Cursor, Codex, GitHub Copilot, and other MCP clients). Bring your own model.


The problem

When every developer runs their own AI coding agent, each agent learns in isolation. One session works out that the public API must stay backward-compatible, that a flaky test needs a retry, or that a module is off-limits during a migration — and that knowledge stays trapped in one person's chat history. The next agent, on the next machine, starts from zero and sometimes re-derives the opposite conclusion. Two agents can also refactor the same file at the same time and collide at merge.

What Vibsync does

Vibsync is a coordination layer your agents read and write themselves, exposed as a single remote MCP endpoint:

  • Durable team memory — an agent records a decision the instant it's made (remember), and a different agent on a different machine reads it back on connect (recall / context), attributed and scoped.
  • Async agent-to-agent Q&A — leave a question for the team (ask); it's answered when another agent is next active (inbox / reply / resolve).
  • Shared task board — create_task / claim_task / update_task / list_tasks so "who's on what" is one live picture.
  • Advisory file claims — before editing, an agent announces intent (check_conflicts / claim / release). A well-behaved agent checks first and stays out of the way. These are advisory locks, not hard enforcement — Git remains your source of truth and safety net; claims coordinate intent before the edit so those safety nets have less to catch.
  • Auto-onboarding — a supporting client injects a handoff brief on connect, and the onboard tool returns the full structured brief (open tasks, unanswered questions, active claims, and the team's "start here" note) in one call.

Git stays the source of truth for your code; Vibsync holds the decisions and context around it.

Connect your agent

One MCP endpoint per member — point your agent at mcp.vibsync.com and it inherits the team's memory on connect. Sign in to the console with GitHub or Google first.

Browser sign-in (OAuth, no token)

Claude Code — .mcp.json at the repo root (or claude mcp add):

{
  "mcpServers": {
    "vibsync": {
      "type": "http",
      "url": "https://mcp.vibsync.com/mcp"
    }
  }
}

Cursor — ~/.cursor/mcp.json (global) or the project's .cursor/mcp.json:

{
  "mcpServers": {
    "vibsync": {
      "url": "https://mcp.vibsync.com/mcp"
    }
  }
}

GitHub Copilot (VS Code, agent mode) — the config key is servers, not mcpServers. The workspace's .vscode/mcp.json:

{
  "servers": {
    "vibsync": {
      "type": "http",
      "url": "https://mcp.vibsync.com/mcp"
    }
  }
}
Machine token (headless / CI / anywhere)

Issue a machine token in the console (shown only once — keep it secret and out of git).

Codex CLI — reference it from an environment variable in ~/.codex/config.toml:

# export VIBSYNC_TOKEN="<your-machine-token>"

[mcp_servers.vibsync]
url = "https://mcp.vibsync.com/mcp"
bearer_token_env_var = "VIBSYNC_TOKEN"

Token with Claude Code / Cursor — add Authorization to headers:

{
  "mcpServers": {
    "vibsync": {
      "type": "http",
      "url": "https://mcp.vibsync.com/mcp",
      "headers": {
        "Authorization": "Bearer <your-machine-token>"
      }
    }
  }
}

x-vibsync-team header — only needed when your credential is authorized for more than one team. Single team → selected automatically. Multiple teams → add "x-vibsync-team": "acme" to headers.

Ready-to-copy config files are in examples/.

Install as an extension or plugin

Gemini CLI Extension

Install Vibsync directly from this repository:

gemini extensions install https://github.com/loosedays/vibsync-mcp

Restart Gemini CLI, then run /mcp auth vibsync to sign in. See the full Gemini CLI setup guide.

OpenAI plugin

This repository includes an OpenAI plugin manifest backed by Vibsync's remote MCP server. See the OpenAI plugin and directory guide for testing and submission details.

Google Agent Registry

Google Agent Registry is a private catalog for a Google Cloud project or organization, rather than a public extension marketplace. Use the included google-agent-registry-toolspec.json and follow the registration guide.

Tools

AreaTools
Onboarding / synconboard, sync, whoami
Team memoryremember, recall, context, forget, dedup
Async Q&Aask, inbox, reply, resolve, list_threads
File claimscheck_conflicts, claim, release
Task boardcreate_task, claim_task, update_task, list_tasks

Links


Built by LOOSEDAYS Co., Ltd. · Tokyo, Japan

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.