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metadata
language:
  - en
license: mit
tags:
  - mcp
  - benchmark
  - gradio
  - fastmcp
  - api-performance
pretty_name: MCP Server Benchmark Results
size_categories:
  - n<1K

🔬 Gradio vs FastMCP Benchmark Report

Generated: 2026-03-04T10:26:47.242725

Total scenarios: 12

Executive Summary

  • echo: Gradio wins (151.4 vs 126.2 RPS, 1.2x difference)
    • Gradio best config: concurrency_limit=1.0
  • async_sleep: Gradio wins (126.6 vs 43.9 RPS, 2.88x difference)
    • Gradio best config: concurrency_limit=1.0

Throughput (Requests/Second)

('fastmcp', 'mcp_streamable') ('gradio', 'mcp_streamable')
('async_sleep', 1) 17.54 16.57
('async_sleep', 10) 43.87 126.56
('echo', 1) 126.23 54.28
('echo', 10) 75.02 151.45

Latency p50 (ms)

('fastmcp', 'mcp_streamable') ('gradio', 'mcp_streamable')
('async_sleep', 1) 62.46 62.939
('async_sleep', 10) 146.304 78.523
('echo', 1) 7.506 0
('echo', 10) 115.045 62.953

Gradio concurrency_limit Scaling

How does Gradio's throughput change as concurrency_limit increases?

1.0
('async_sleep', 1) 8.425
('async_sleep', 10) 64.665
('echo', 1) 27.14
('echo', 10) 77.105

Protocol Overhead: HTTP API vs MCP

Comparing latency of the same tool called via REST API vs MCP protocol:

mcp_streamable
('fastmcp', 'async_sleep') 104.382
('fastmcp', 'echo') 61.2755
('gradio', 'async_sleep') 2104.85
('gradio', 'echo') 1050.52

Error Rates

All scenarios completed with 0% error rate. ✅

Resource Usage

server ('mean', 'avg_cpu_pct') ('mean', 'avg_memory_mb') ('mean', 'peak_memory_mb') ('max', 'avg_cpu_pct') ('max', 'avg_memory_mb') ('max', 'peak_memory_mb')
fastmcp 0 5.655 5.66 0 5.67 5.67
gradio 0 4.955 4.955 0 5.68 5.68

Benchmark Charts

Throughput Comparison

Latency Comparison

Gradio Concurrency Limit Scaling

Protocol Overhead

Methodology

  • Both servers use identical tool implementations (imported from shared_tools.py)
  • Each scenario runs in an isolated server subprocess
  • Warmup period excluded from measurements
  • Load generated by async httpx workers (not external tools)
  • MCP tests use full protocol lifecycle (initialize → call_tool)
  • System metrics sampled every 1s via psutil

Benchmarks generated by mcp-server-bench