0.1.1

PyPI

agent-analytics-mcp-server

Usage analytics and monitoring for AI agent tool calls — track, analyze and optimize agent behavior

Published19 Mar 2026

Direct dependencies2

Transitive dependenciesNot calculated

README

Version 0.1.1 documentation

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

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

pip install agent-analytics-mcp-server

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

MIT

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Native requirements

2 direct targetsNot calculated transitive count

Package / target	Requirement	Relationship
mcp Environment { "extras": "", "marker": null, "requires_python": ">=3.10", "evaluation": "NOT_EVALUATED" }	`mcp>=1.0.0`	runtime
pydantic Environment { "extras": "", "marker": null, "requires_python": ">=3.10", "evaluation": "NOT_EVALUATED" }	`pydantic>=2.0.0`	runtime