• DATA
  • ANALYSIS
  • REPORTING
  • HUMAN

How to monitor project usage stats with your AI

Connect Chainlit to your agent to pull live telemetry from your deployments through a simple chat interface.

Ask AI about this page

Short answer

How can I check my project's traffic and resource usage?

Your agent uses Chainlit to pull live traffic and resource data for your active projects. You get direct answers to usage questions without opening a dashboard. This breakdown shows how the agent handles those requests.

The results you get.

Real-time usage visibility.

The agent handles the data retrieval so you can focus on the numbers.

DATA

Live telemetry

The agent pulls current traffic and resource numbers for your specific deployments.

ANALYSIS

Usage trends

You can ask for comparisons or specific spikes in resource consumption.

REPORTING

Quick summaries

The agent turns raw usage logs into plain text updates you can read in chat.

HUMAN

Manual decisions

If a resource spike looks wrong, you decide whether to scale or kill the project.

The workflow

What your AI does when you ask for stats.

The agent moves from identifying your projects to pulling the specific metrics you requested.

  1. Identify projects

    The agent looks up your active deployments to find the right targets for your query.

    list_projects

  2. Fetch metrics

    Once the project is identified, the agent pulls the specific usage data you asked for.

    get_stats

  3. Interpret data

    The agent reads the raw numbers and translates them into a readable format.

    get_stats

  4. Deliver answer

    The agent presents the final usage numbers or trends directly in your chat interface.

    get_stats

Try it

Copy these to start.

Use these prompts to test the connection immediately.

Starting points

Replace the project names with your actual deployment IDs.

Chainlit Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_MmtPPSL0UTrjhdbRcUoAgAc4xQjkgFcCDdx0WVam/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Chainlit capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "chainlit-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_MmtPPSL0UTrjhdbRcUoAgAc4xQjkgFcCDdx0WVam/mcp"
    }
  }
}
Copy into chat04

  • What is the current traffic volume for the 'customer-portal' project?

  • Show me the resource consumption for 'api-gateway' over the last hour.

  • Which of my projects is using the most memory right now?

  • List all my projects and their current status.

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect Chainlit once, then ask.

Click the link to authorize the connection. Your credentials stay encrypted, and you can start querying your project data immediately.

Connect Chainlit to your AI

FAQ

How this task behaves.

  • 01

    Can the AI change my project settings?

    No. The agent can only read usage data; it cannot modify your project configurations or resource limits.

  • 02

    Does the AI delete any project data?

    No. This connection is read-only for stats and project listing.

  • 03

    How real-time is the data?

    The agent pulls data directly from the current state of your deployed projects via the tools.

  • 04

    Can I ask for stats on a project that doesn't exist?

    No. The agent first uses the list tool to verify the project exists before attempting to pull stats.

  • 05

    Can the AI scale my resources up or down?

    No. The agent can report on consumption, but you must handle scaling manually in your deployment environment.

  • More questions about Chainlit? See everything the Chainlit Connector can do

Connect Chainlit to Claude, Cursor, ChatGPT & more