hivecode
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@hivecodestart a new Claude Code session"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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.
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
Related MCP server: mcp-codex-dev
Quick Start
# Clone the repo
git clone https://github.com/ZedoxDevelopment/hivecode.git
cd hivecode
# Install dependencies
npm install
# Start the dashboard
npm startOpen http://localhost:3800 in your browser.
Seed Demo Data
Want to see the dashboard in action before connecting Claude Code?
node src/seed-demo.jsConnect 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 mcpMCP Tools
Tool | Description |
| Start tracking a new Claude Code session |
| Log a tool call with duration and success status |
| Log a file change (create/edit/delete) |
| Log token usage for cost tracking |
| End the current session with a summary |
| Get dashboard statistics |
API Endpoints
Method | Endpoint | Description |
GET |
| Dashboard overview stats |
GET |
| List all sessions |
GET |
| Session detail with events |
GET |
| Tool usage analytics |
GET |
| Recent file changes |
GET |
| Daily stats for charts |
POST |
| Log events via HTTP |
GET |
| Current version info |
GET |
| Check for updates |
GET |
| 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 |
|
| 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.jsonLicense
MIT — Zedox Development
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