hivecode

hivecode

Real-time analytics dashboard for Claude Code, tracking sessions, tool usage, file changes, and token costs via an MCP server.

Category
访问服务器

README

HiveCode

Real-time analytics dashboard for Claude Code

Track sessions, tool usage, file changes, token costs, and more — all from a real-time local dashboard. Built as an MCP server that plugs directly into Claude Code.

HiveCode Dashboard License Node

Features

  • Real-time Dashboard — Live WebSocket updates as Claude Code works
  • Session Tracking — Monitor every Claude Code session with full detail
  • Tool Analytics — See which tools are used most, average durations, success rates
  • File Change Log — Track every file created, edited, or deleted
  • Cost Tracking — Token usage and estimated API costs with daily breakdowns
  • Canvas Charts — Visual bar and line charts for activity trends
  • Activity Feed — Live stream of all events as they happen
  • MCP Server — Plugs directly into Claude Code via Model Context Protocol
  • Update Notifications — Get notified when a new version is available
  • Mobile Responsive — Works on phone and tablet
  • 100% Local — All data stored in SQLite on your machine

Quick Start

# Clone the repo
git clone https://github.com/ZedoxDevelopment/hivecode.git
cd hivecode

# Install dependencies
npm install

# Start the dashboard
npm start

Open http://localhost:3800 in your browser.

Seed Demo Data

Want to see the dashboard in action before connecting Claude Code?

node src/seed-demo.js

Connect to Claude Code

Add HiveCode as an MCP server in your Claude Code settings:

~/.claude/settings.json

{
  "mcpServers": {
    "hivecode": {
      "command": "node",
      "args": ["/path/to/hivecode/src/mcp-server.js"],
      "env": {}
    }
  }
}

Or run the MCP server standalone:

npm run mcp

MCP Tools

Tool Description
hivecode_start_session Start tracking a new Claude Code session
hivecode_log_tool Log a tool call with duration and success status
hivecode_log_file Log a file change (create/edit/delete)
hivecode_log_tokens Log token usage for cost tracking
hivecode_end_session End the current session with a summary
hivecode_stats Get dashboard statistics

API Endpoints

Method Endpoint Description
GET /api/stats Dashboard overview stats
GET /api/sessions List all sessions
GET /api/sessions/:id Session detail with events
GET /api/tools Tool usage analytics
GET /api/files Recent file changes
GET /api/daily Daily stats for charts
POST /api/event Log events via HTTP
GET /api/version Current version info
GET /api/version/check Check for updates
GET /api/health Health check

Dashboard Pages

  • Overview — Stats grid, 14-day activity chart, recent sessions, top tools
  • Sessions — Searchable/filterable session list with drill-down detail view
  • Tools — Usage distribution chart, per-tool bars, performance table
  • Files — Searchable file change log across all sessions
  • Costs — Cost/token trend charts with daily breakdown table
  • Activity Feed — Real-time event stream via WebSocket
  • Settings — MCP config, data export, seed/clear data

Configuration

Environment Variable Default Description
HIVECODE_PORT 3800 Dashboard server port

Tech Stack

  • Backend: Express.js, WebSocket (ws), better-sqlite3
  • Frontend: Vanilla JS, Canvas charts, CSS custom properties
  • Protocol: MCP (Model Context Protocol) over JSON-RPC stdio
  • Database: SQLite with WAL mode

Project Structure

hivecode/
  src/
    server.js       # Express + WebSocket server
    db.js           # SQLite schema + prepared statements
    mcp-server.js   # MCP protocol handler + tools
    seed-demo.js    # Demo data generator
  public/
    index.html      # Dashboard shell
    app.js          # Frontend application
    style.css       # Dark theme styles
  data/             # SQLite database (auto-created)
  version.json      # Version + changelog for update checks
  package.json

License

MIT — Zedox Development

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
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
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
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
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
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
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
mcp-server-qdrant

mcp-server-qdrant

这个仓库展示了如何为向量搜索引擎 Qdrant 创建一个 MCP (Managed Control Plane) 服务器的示例。

官方
精选
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选