"Chai" matching MCP servers:

Enables minting canary markers into package-generated synthetic datasets and scanning text you control to detect when a marker released to one recipient reappears elsewhere. Produces a payload-free, hash-linked evidence chain whose export verifies offline.

Analyzes multi-step AI agent tool chains to compute success probability, identify bottlenecks, and suggest better execution orders, enabling more reliable agents via local pure-math computation.

Enables autonomous prompt improvement for voice AI agents through feedback analysis, test generation, and iterative testing.

Provides a read-only MCP bridge that lets Claude Web inspect workspace files, git state, and recorded test results while Codex remains the sole executor of changes.