Using Rize with AI Assistants (MCP)

What is MCP?

The Model Context Protocol (MCP) lets AI assistants like Claude and ChatGPT access your Rize time data directly. Instead of copying data into prompts manually, the AI can query your hours, projects, profitability, and tracking events in real time.

MCP Chat in Rize

You can also chat with your time data directly inside the Rize web app. No external AI tool required -- ask about your day, your team's hours, or project profitability in plain English from the chat panel.

Available Data

The MCP Server provides access to:

• Time entries -- query by date, client, project, team member
• Profitability data -- revenue per client, billable utilization, cost analysis
• Tracking events -- granular activity data for deep analysis
• Projects and clients -- structure and billing configuration

Setting Up MCP

These are the same steps Rize shows under Settings > MCP in the web app.

Server URL: https://mcp.rize.io/mcp

ChatGPT

1. Open the Rize app in ChatGPT.
2. Click Connect and sign in with your Rize account.
3. Approve access and start asking about your time.

Claude

1. Open Customize > Connectors.
2. Add a custom connector.
3. Name it Rize, paste the server URL, and complete sign-in.

Codex

1. Add the config below to your project's .mcp.json.
2. Run codex in that directory.
3. Complete the Rize authorization flow when prompted.

{
  "mcpServers": {
    "rize": {
      "type": "url",
      "url": "https://mcp.rize.io/mcp"
    }
  }
}

Any other MCP client

1. Open your MCP client settings.
2. Add a remote server using the server URL above.
3. Complete the Rize authorization flow.

Your client can access the Rize data available to your account. You can revoke access from the client or its connected-app settings.

Example Queries

• "What's my billable utilization this month?"
• "Which client has the lowest profit margin?"
• "Show me the team's time allocation across projects this week"
• "What apps did I spend the most time in today?"

Tips

• MCP queries return real-time data -- no stale exports
• Use for weekly reviews, client check-ins, and profitability analysis
• Combine with the Slack Agent for team-wide access without requiring everyone to use an AI assistant