Vibe Board VE

Vibe Board VE

Persistent memory and task board for Claude Code. 14 tools spanning projects, tasks, sessions, and activity logs — backed by Firestore, runs on the free tier. Handoff notes survive context compaction; the next session reads the last handoff and picks up where you stopped.

Category
访问服务器

README

Vibe Board MCP (ve-vibe-board)

MCP server on Glama Glama Score License: MIT Node

Your agent, but it remembers. Firestore-backed MCP server that gives Claude Code (and any MCP-speaking agent) persistent memory across sessions — tasks, progress, decisions, and handoff notes that survive context compaction and session death.

Companion repo: HuntsDesk/ve-kit — Vibe Coding Framework & Persistent Memory for Claude Code. ve-kit bundles this MCP server, a RIPER-CAT workflow, review-gate hooks, and an optional Docker worker.

Part of Vibe Entrepreneurs — a community for any vibe coders shipping real work with AI. Come say hi: vibeentrepreneurs.com.


Why this exists

Sound familiar?

  • You're six tool calls into a refactor. Context compacts. The agent comes back with vibes but no plan.
  • You start a new session tomorrow. It re-reads the same files, re-asks the same questions, re-decides things you already decided.
  • You watched it write a perfect TodoWrite checklist — then the conversation ended, and the checklist evaporated with it.
  • You opened three agents in parallel. None of them know what the others did.

This is what statelessness feels like in practice. The agent is brilliant for an hour and amnesiac forever after.

Vibe Board is where the state goes instead. It's a shared task + session board that lives outside any single conversation — in Firestore, not in context.

  • Agents create tasks during planning — they survive the session
  • Progress gets tracked during execution — visible to the next run
  • Handoff notes get written when sessions end — with references to the exact tasks still open
  • The next session calls board_create_session, reads the handoff, and resumes where the last one stopped

What you get: an agent that shows up on Tuesday knowing what it was doing on Monday. No re-explaining. No lost plans. No TodoWrite graveyard.

Free to run on Firebase's free tier.


14 MCP tools

Category Tools
Projects board_get_projects, board_create_project, board_update_project
Tasks board_get_tasks, board_get_task, board_create_task, board_update_task (supports moving between projects), board_bulk_update_tasks (1-100 at once), board_delete_task (safety-guarded)
Sessions board_create_session (returns last session's handoff), board_end_session, board_get_handoff
Activity board_log_activity, board_get_activity (cursor-paginated, filterable)

Fourteen tools, one job: give the agent a place to put state that isn't the conversation.


Install

1. Clone + build

git clone https://github.com/HuntsDesk/ve-vibe-board.git
cd ve-vibe-board
npm install
npm run build

2. Set up Firebase

Create a Firebase project (free tier works). Enable Firestore in Native mode. Create a service account with roles/datastore.user and download the key JSON.

GOOGLE_APPLICATION_CREDENTIALS accepts either a file path to the key JSON (canonical) or the raw JSON contents inline (handy for sandboxed environments like Glama's browser MCP Inspector, CI secrets, or Cloud Run's inlined-secret pattern).

Also create 2 composite indexes:

gcloud firestore indexes composite create \
  --project=YOUR_PROJECT_ID \
  --collection-group=sessions \
  --field-config field-path=project_id,order=ascending \
  --field-config field-path=status,order=ascending \
  --field-config field-path=ended_at,order=descending

gcloud firestore indexes composite create \
  --project=YOUR_PROJECT_ID \
  --collection-group=tasks \
  --field-config field-path=project_id,order=ascending \
  --field-config field-path=status,order=ascending

Wait 1-5 min for indexes to build.

3. Configure Claude Code

Add to your project's .mcp.json:

{
  "mcpServers": {
    "vibe-board": {
      "command": "node",
      "args": ["/absolute/path/to/ve-vibe-board/dist/index.js"],
      "env": {
        "GOOGLE_APPLICATION_CREDENTIALS": "/absolute/path/to/your-key.json"
      }
    }
  }
}

Allow the tools in .claude/settings.local.json:

{
  "permissions": {
    "allow": [
      "mcp__vibe-board__board_get_projects",
      "mcp__vibe-board__board_create_project",
      "mcp__vibe-board__board_update_project",
      "mcp__vibe-board__board_get_tasks",
      "mcp__vibe-board__board_get_task",
      "mcp__vibe-board__board_create_task",
      "mcp__vibe-board__board_update_task",
      "mcp__vibe-board__board_bulk_update_tasks",
      "mcp__vibe-board__board_delete_task",
      "mcp__vibe-board__board_create_session",
      "mcp__vibe-board__board_end_session",
      "mcp__vibe-board__board_get_handoff",
      "mcp__vibe-board__board_log_activity",
      "mcp__vibe-board__board_get_activity"
    ]
  },
  "enabledMcpjsonServers": ["vibe-board"]
}

4. Verify

Start a new Claude Code session and call board_get_projects. Empty array = success.


Agent rules (paste into CLAUDE.md)

## Vibe Board

Persistent task tracking across sessions via MCP tools (`board_*`).
**Mandatory for every substantive session.**

### Use board tasks, NOT TodoWrite
TodoWrite is ephemeral — dies when the session ends. Board tasks persist.
When you would reach for TodoWrite to track multi-step work, use
`board_create_task` instead.

### Session lifecycle
1. Call `board_create_session` at session start — returns last session's handoff
2. Create/update board tasks as you work
3. Call `board_end_session` with progress summary + handoff notes before stopping

Full rule set (proactive triggers, process gates, review protocol) is in HuntsDesk/ve-kit → docs/ve-kit/02-VIBE-BOARD.md.


License

MIT. See LICENSE.


Related

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选