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Benchmarks
lacausecrypto edited this page Apr 9, 2026
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All benchmarks run on a single machine, single process. These are real measurements, not theoretical limits.
| What we measured | Result | Why it matters |
|---|---|---|
| Gateway overhead | 0.02ms per request | Conduit is effectively invisible in your request path |
| Cache hit (sequential) | 46,700 RPS | Cached tool results return instantly |
| Cache hit (c=50) | 64,400 RPS | Scales well under concurrent load |
| All features enabled (c=50) | 111,600 RPS at P99=3.24ms | Auth + plugins + rate limit + cache, still fast |
| Stdio transport (c=10) | 354,500 RPS | No network I/O = blazing fast |
| Plugin hooks (5 plugins) | 2,000,000 ops/sec | Plugins add zero measurable overhead |
| Gateway | Language | Raw Overhead | Cache Hit RPS | License |
|---|---|---|---|---|
| MCP Conduit | TypeScript | 0.02ms | 46K-64K | MIT |
| Bifrost | Go | 0.011ms | not published | Apache 2.0 |
| TrueFoundry | TypeScript | 3-4ms | 350/vCPU | Proprietary |
| Envoy AI GW | C++/Go | 1-2ms | not published | Apache 2.0 |
| Lunar MCPX | Go | ~4ms P99 | not published | Apache 2.0 |
Bottom line: Bifrost has ~2x lower raw overhead (Go vs JavaScript, a fundamental language gap). But in practice, most MCP requests are cache hits, where Conduit delivers 46K+ RPS. With all features enabled, we sustain 111K RPS, well above any published MCP gateway benchmark.
How throughput changes with concurrency (cache hit scenario):
| Concurrency | RPS | P99 Latency |
|---|---|---|
| c=1 | 53,700 | 0.03ms |
| c=10 | 54,600 | 0.28ms |
| c=50 | 64,400 | 0.91ms |
| c=100 | 44,600 | 4.59ms |
Peak throughput at c=50. Beyond c=100, the Node.js event loop saturates. Use multiple instances behind a load balancer for higher concurrency.
How each feature affects performance (cache hit, c=50):
| Configuration | RPS | Overhead vs baseline |
|---|---|---|
| Cache only (baseline) | 54,200 | baseline |
| + Auth (API key) | 104,400 | negligible (JIT effect) |
| + 5 Plugins (all hooks) | 48,600 | -10% |
| + Auth + Plugins + Rate Limit | 103,000 | negligible |
Plugins add ~10% overhead. Auth and rate limiting add none (in-memory, no I/O).
| Component | Throughput | Notes |
|---|---|---|
| CacheStore.get() | 10M ops/sec | In-memory LRU lookup |
| Inflight dedup | 3.1M ops/sec | Map-based deduplication |
| Plugin hook execution | 2.0M ops/sec | 5 plugins, 1 hook each |
| Cache key generation | 1.1M ops/sec | SHA-256 of sorted JSON |
| Discovery register+poll | 963K ops/sec | In-memory registration |
| Field redactor | 205K ops/sec | Recursive, 6-field nested object |
npm run benchmark # Full 24-scenario suite (~10s)
npm run benchmark:quick # Quick smoke test (~3s)
npm run benchmark:json # Export results as JSON
# Competitive analysis (compares with published competitor numbers)
npx tsx tests/benchmark/competitive-analysis.ts- In-process Hono
app.request(), no network I/O, measures gateway logic only - Mock MCP server with instant responses. Isolates gateway overhead
- 50-request warmup, then measurement phase
- Percentiles computed on sorted latency array
- Memory tracked via
process.memoryUsage() - Results are reproducible. Run the benchmarks on your own hardware