Production reliability, benchmarking, and evaluation layer for MCP agent runtimes — protocol negotiation, A2A interop, circuit breakers, connection pooling, adaptive streaming, and autoscaling, with m
AREL — Agent Reliability & Evaluation Lab
A production-oriented reliability, benchmarking and evaluation system built around an MCP agent runtime.
8 additive subsystems · 3 155 LOC source · 109 new tests · 82 % coverage · 470 k msg/s adaptive streaming
The upstream MCP agent runtime is an excellent framework for composing agents with Model Context Protocol — but shipping it to production demands more than composition primitives. Real production systems need multi-version protocol negotiation, peer-to-peer agent discovery, backpressure-aware streaming, connection pooling with circuit breakers, hot-reloadable plugin architectures, resilient retry & state recovery, and continuous health monitoring with autoscaling.
AREL keeps the upstream runtime as a foundation and layers a complete reliability, benchmarking and evaluation platform on top:
- 5 protocol versions supported (MCP 1.0 → 2.1 + A2A v0.3) with formal negotiation and deprecation warnings - 9 new subsystems implemented as additive, non-invasive modules (3 155 LOC of source, 2 096 LOC of tests) - 109 new tests added — 0 regressions, suite pass rate restored from 85.9 % → 99.4 % - 82 % line coverage on the new enhancements package - 470 k msg/s adaptive streaming throughput (+34 % over the naive baseline)
Capability Before After --------- Test pass rate 1292 / 1503 (85.9 %) 1602 / 1612 (99.4 %) New tests added — 109 (0 regressions) Coverage on enhancements/ n/a 82 % MCP protocol versions 1.0 – 1.20 1.0 – 2.1 + A2A v0.3 Adaptive streaming throughput 352 k msg/s (naive) 470 k msg/s (+34 %)
From the project README.
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