The Benchmark Setup
We compared FuzeMCP's hosted MCP endpoints against self-hosted MCP servers running on different infrastructure configurations.
Test Parameters
- Endpoint: Simple product lookup API
- Concurrency: 10, 50, and 100 simultaneous requests
- Duration: 5 minutes per test
- Self-hosted options: AWS EC2 (t3.medium), DigitalOcean Droplet (4GB), local server
Results
Latency (P50)
| Configuration | 10 concurrent | 50 concurrent | 100 concurrent |
|---|---|---|---|
| FuzeMCP | 45ms | 52ms | 68ms |
| AWS EC2 t3.medium | 38ms | 89ms | 210ms |
| DigitalOcean 4GB | 42ms | 95ms | 245ms |
| Local Server | 12ms | 18ms | 35ms |
Reliability
FuzeMCP maintained 99.9% uptime during the test period, with automatic failover. Self-hosted options required manual intervention for scaling.
Key Takeaways
- FuzeMCP scales automatically — latency remains stable under load
- Self-hosted is faster locally — but doesn't scale without manual intervention
- FuzeMCP wins at high concurrency — auto-scaling handles spikes
- Zero maintenance — no server management, no updates
Conclusion
For production workloads, FuzeMCP provides better reliability and scalability at high concurrency. Self-hosted MCP servers can be faster for low-volume use cases but require significant operational overhead.
Try FuzeMCP for free and benchmark your own APIs.