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Agent Analytics MCP Server

@Agent-Analytics

基本信息

分类

AI 与智能体

传输方式

stdio

认证方式

oauth

作者

Agent-Analytics

提交者

Danny Shmueli

关于 Agent Analytics MCP Server

Analytics your AI agent can actually use. Your agent tracks what's working across multiple projects, runs A/B experiments, analyzes funnels, and reports back to you. Works with Claude Code, Cursor, Windsurf, Codex, and any agent that speaks HTTP or MCP. Open source, API-first, no

Agent Analytics MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "agent-analytics": {
      "url": "https://mcp.agentanalytics.sh/mcp"
    }
  }
}

Agent Analytics MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。

此服务需要认证,获取工具列表可能需要登录或使用服务提供方的凭据。

点击上方按钮,直接连接服务器端点实时获取工具列表。

概览

What is Agent Analytics?

Agent Analytics is an open-source, API-first analytics tool designed for AI agents. It enables agents to track performance across multiple projects, run A/B experiments, analyze funnels, and report results directly to the user. It works with Claude Code, Cursor, Windsurf, Codex, and any agent that communicates via HTTP or MCP, and requires no dashboard.

How to use Agent Analytics?

—

Key features of Agent Analytics

  • Tracks what’s working across multiple projects
  • Runs A/B experiments
  • Analyzes user funnels
  • Reports results back to your agent
  • Open source and API-first
  • No dashboard required

Use cases of Agent Analytics

  • AI agents monitoring performance across different projects
  • Automating A/B tests for agent-driven workflows
  • Analyzing funnel behavior from agent interactions
  • Receiving automated analytics reports without a UI

常见问题

1

Which agents are compatible with Agent Analytics?

Claude Code, Cursor, Windsurf, Codex, and any agent that speaks HTTP or MCP.

2

Is Agent Analytics open source?

Yes, it is open source.

3

Does Agent Analytics require a dashboard?

No, it is designed to be dashboard-free and agent-friendly.

4

What can my agent do with Agent Analytics?

Your agent can track performance, run A/B experiments, analyze funnels, and report back to you.

5

How does my agent communicate with Agent Analytics?

It communicates via HTTP or the MCP (Model Context Protocol).

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