ai-progress-monitor

ai-progress-monitor

MCP server that lets AI coding agents report task progress and milestones, providing a real-time web dashboard and macOS notifications for monitoring multiple AI workbenches.

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README

AI 工作台进度监控 (ai-progress-monitor)

统一看板：多工作台（Cursor / Claude / Codex / OpenCode…）通过 Hooks（推荐）或 MCP 上报进度，网页实时查看（http://127.0.0.1:8777），关键节点会弹 macOS 通知。

快速开始（人类）

# 1. 依赖
uv venv .venv && uv pip install "mcp[cli]" fastmcp fastapi uvicorn
# 或: python3 -m venv .venv && .venv/bin/pip install "mcp[cli]" fastmcp fastapi uvicorn

# 2. 看板
.venv/bin/python server/dashboard.py   # → http://127.0.0.1:8777

开机自启（可选）：scripts/com.local.ai-progress-monitor.plist.template，替换 __REPO_ROOT__ / __HOME__ 后拷到 ~/Library/LaunchAgents/ 并 launchctl load -w。

接入话术（复制发给 AI）

把 <repo> 换成仓库绝对路径，或直接用 GitHub raw 链接（无需先打开仓库）。

Hooks（推荐 · Cursor / Claude / Codex）

请根据 <repo>/install/hooks.md，安装 hooks。

GitHub：

请根据 https://raw.githubusercontent.com/mxppxm/ai-progress-monitor/main/install/hooks.md，安装 hooks。

MCP（兜底 · OpenCode 或 hooks 不可用时）

请根据 <repo>/install/mcp.md，安装 mcp。

GitHub：

请根据 https://raw.githubusercontent.com/mxppxm/ai-progress-monitor/main/install/mcp.md，安装 mcp。

Agent 读对应文档后自行安装；细节见 install/hooks.md / install/mcp.md。本地总览也可读 AGENTS.md。

Hooks 语义（看板三态）

时机 看板
用户提交提示词 建/重启为「运行中」，标题＝本轮提示词
停止输出 「已结束」；回复含「需要你选择 / 你来决定」→「待选择」黄灯
再发消息 同一任务重启，标题换成新提示词
新建空会话 不建任务（只注入拍板用语提示）

能力摘要

能力 说明
Hooks 自动上报 scripts/hook_report.py（Cursor / Claude / Codex）
MCP 上报 record_task / update_progress / log_node / list_tasks
三态卡片 运行中 · 待选择（黄灯）· 已结束；标题随新提示词更新
实时看板 SSE + 断线轮询兜底

目录

install/           ← AI 安装入口（hooks.md / mcp.md）
AGENTS.md          ← 本地总览（与 install 对齐）
server/            db · mcp_server · dashboard · notify
scripts/           setup_agents · hook_report · 自启模板
dashboard/         看板前端
client-configs/    各工作台 hooks 模板
data/              SQLite（自动生成）

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