---
title: "MCP Observability | Grafana Cloud documentation"
description: "Monitor Model Context Protocol usage, tool analytics, and transport performance"
---

# MCP observability

MCP Observability provides comprehensive monitoring for Model Context Protocol (MCP) implementations, enabling AI models to securely connect to data sources and interact with external tools.

## Overview

The MCP Observability dashboard monitors Model Context Protocol performance and usage:

- **Protocol health** - Session management and connection stability monitoring
- **Tool analytics** - Usage patterns and performance metrics for tool operations
- **Transport monitoring** - Communication layer performance across different protocols
- **Performance tracking** - End-to-end MCP operation latency and efficiency

## Key features

### Protocol metrics

- **Session establishment** - Connection setup success rates and duration
- **Connection stability** - Session duration and reliability tracking
- **Protocol compliance** - Adherence to MCP standards and version compatibility
- **Message throughput** - Communication volume and payload analysis

### Tool usage analytics

- **Tool invocation frequency** - Most and least used tools and usage patterns
- **Tool performance** - Response times and success rates by tool type
- **Tool popularity trends** - Usage patterns and adoption over time
- **Tool error analysis** - Failure categorization and root cause identification

### Transport performance

- **Communication latency** - Response times across different transport types
- **Network reliability** - Connection stability and retry patterns
- **Client-server interaction** - Communication patterns and optimization opportunities

## Getting started

[Setup Guide  
\
Set up MCP Observability to monitor Model Context Protocol usage and performance](./setup)

[Configuration  
\
Configure protocol monitoring, tool analytics, and performance optimization](./configuration)