> ## Documentation Index
> Fetch the complete documentation index at: https://docs.agnost.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Overview

> Track MCP tool calls, latency, outcomes, and execution details

MCP server analytics shows how clients use the tools exposed by your MCP server.
Agnost AI records each tool call with its name, input, output, latency, outcome,
and conversation context.

## How it works

```
MCP client  →  Your MCP server  →  Agnost AI
```

Each tool invocation becomes a **tool call** and an underlying **event**. Related
calls share a conversation identifier so you can inspect the complete interaction.

## Choose your server language

<CardGroup cols={2}>
  <Card title="TypeScript" icon="js" href="/typescript-sdk">MCP server in TypeScript / JavaScript</Card>
  <Card title="Python FastMCP" icon="python" href="/fastmcp">MCP server with FastMCP</Card>
  <Card title="Go" icon="golang" href="/golang-sdk">MCP server in Go</Card>
  <Card title="Anthropic (low-level)" icon="python" href="/anthropic-low-level">Low-level Anthropic Python SDK</Card>
</CardGroup>

## Next steps

* [Tool calls](/using-tool-calls): learn what MCP server analytics makes visible.
* [Events](/using-events): inspect the underlying records for each call.
* [Alerts](/using-alerts): monitor important MCP tool conditions.


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