MCP Server Performance Benchmark

Example Use Cases

• 1

  Evaluate and compare MCP server performance across different languages and frameworks.

• 2

  Benchmark I/O-bound workloads involving Redis and HTTP APIs.

• 3

  Optimize server implementations based on latency, throughput, and memory usage.

Description

This repository provides a comprehensive experimental analysis of Model Context Protocol (MCP) server implementations in Rust, Java, Go, Node.js, Python, and more. It benchmarks these servers under I/O-bound workloads involving Redis and HTTP APIs, measuring requests per second, latency, and memory usage. The project includes scripts for building Docker images, running benchmarks, and collecting results, enabling developers to evaluate and optimize MCP server performance effectively.