How do I use Agent Analytics MCP Server?

1. Click on "Deploy Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Agent Analytics MCP Server Show the dashboard overview" 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.

Agent Analytics MCP Server 📊

Usage analytics and monitoring for AI agent tool calls. Track, analyze, and optimize how agents use your tools.

Features

Event Tracking — Log every tool call with duration, success/failure, metadata
Dashboard — Overview with total calls, error rates, top tools, daily trends
Per-Tool Analytics — Deep dive into individual tool performance
Per-Agent Analytics — See how specific agents use your services
Error Tracking — Monitor and debug failures

Related MCP server: agentic-mcp-server

Installation

pip install agent-analytics-mcp-server

Usage with Claude Code

{
  "mcpServers": {
    "analytics": {
      "command": "uvx",
      "args": ["agent-analytics-mcp-server"]
    }
  }
}

Tools

Tool	Description
`track_event`	Log a usage event
`get_dashboard`	Overview dashboard
`tool_analytics`	Per-tool deep dive
`agent_analytics`	Per-agent usage

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License

MIT

This server cannot be deployed

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Maintenance

ActivityInactive

ResponsivenessNo issues

Resources

Need Help?

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