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MCP Server Benchmark V2: Rust and Quarkus Lead 15-Runtime Performance Study

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Thiago Mendes published MCP Server Performance Benchmark V2, testing 15 MCP server implementations under I/O-bound workloads with Redis and HTTP API calls at 50 concurrent users. Rust leads throughput at 4,845 RPS and 10.9 MB RAM, while Quarkus leads latency at 4ms average. Go rounds out Tier 1. Python lands at 251ms average - 62x slower than Quarkus - and Node.js at 123ms.

The data surfaces practical tradeoffs for teams choosing MCP server runtimes. GraalVM native images reduce memory 27-81% but cut throughput 20-36%, useful only when memory is the constraint. Bun delivers 2.2x the RPS of Node.js on identical code. Classic blocking I/O (Spring MVC) outperforms reactive WebFlux at this concurrency level.

For production MCP deployments, the benchmark recommends Rust for maximum throughput, Quarkus when latency SLAs are the priority, and Go when operational simplicity matters. The full report and code are on GitHub.

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Thiago Mendes
@thiagomctba
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39.9 Million requests later. The MCP Benchmark V2 is LIVE. You asked for high concurrency, GraalVM Native Images, and real IO workloads. I tested 15 different implementations. Here is what the data revealed. https://t.co/ntHjCtQO8Q #AI #MCP #ModelContextProtocol #Benchmark

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