Benchmark MCP Servers
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Multi-Language MCP Server Performance Benchmark
A comprehensive experimental analysis comparing Model Context Protocol (MCP) server implementations across Java, Go, Node.js, and Python. Testing 3.9 million requests over three benchmark rounds to measure latency, throughput, resource efficiency, and production-readiness characteristics.
Objective
This repository contains the source code and benchmark suite for a comprehensive performance analysis of Model Context Protocol (MCP) server implementations across four major programming ecosystems:
- Java: Spring Boot + Spring AI
- Go: Official SDK
- Node.js: Official SDK
- Python: FastMCP
The goal is to provide empirical data to inform architectural decisions for production MCP deployments by measuring latency, throughput, resource consumption, and reliability.
Results & Analysis
For the full detailed results, analysis, and recommendations, please visit the experiment post: https://www.tmdevlab.com/mcp-server-performance-benchmark.html
Key Findings Summary
- Java and Go demonstrated sub-millisecond average latencies (~0.8ms) with throughput >1,600 RPS.
- Go showed the highest resource efficiency (18MB memory vs Java's 220MB).
- Node.js and Python showed higher latencies (10-30x) but are suitable for development or moderate workloads.
- All implementations achieved 0% error rates across 3.9 million requests.
Project Structure
benchmark-mcp-servers/
βββ java-server/ # Spring Boot 4.0.0 + Spring AI 2.0.0-M2
βββ go-server/ # Official MCP SDK v1.2.0
βββ nodejs-server/ # SDK v1.26.0 (with CVE-2026-25536 mitigation)
βββ python-server/ # FastMCP 2.12.0+ + FastAPI
βββ benchmark/ # k6 load testing scripts and tools
βββ docker-compose.yml
Benchmark Tools
Each server implements four identical tools for fair comparison:
calculate_fibonacci: CPU-intensive recursive computation.fetch_external_data: I/O-intensive HTTP GET request.process_json_data: specific data transformation.simulate_database_query: Controlled latency simulation.
Running the Benchmark
Prerequisites
- Docker & Docker Compose
- k6 (for running load tests locally if not using the containerized runner)
Build and Start Servers
# Build all server images
docker-compose build
# Start all servers
docker-compose up -d
# Check status
docker-compose ps
The servers will be available at:
- Java:
http://localhost:8080 - Go:
http://localhost:8081 - Python:
http://localhost:8082 - Node.js:
http://localhost:8083
Run Load Tests
Option 1: Full Automated Benchmark
Run the complete benchmark suite (all servers) using the orchestration script:
cd benchmark
./run_benchmark.sh
Option 2: Manual Single Server Test
You can run k6 against a specific running server:
cd benchmark
k6 run -e SERVER_URL=http://localhost:8080/mcp benchmark.js
Stop Servers
docker-compose down
