04 APR 2026
David decided: Audited granular MCP connector end-to-end with 8 agents
David commissioned an 8-agent audit to assess whether the MCP connector could fully manipulate every profile primitive while preventing the AI from lying on the user's behalf.
David initiated a thorough audit of the granular MCP connector.
run 8 agents (opus 4.7 max) to go and audit the app and mcp connector against the ideal end state where the mcp connector lets the user's AI fully manipulate the full state of their profile, every primitive, every section etc and come back with a final plan. the constraint must be that the system design cannot allow the user's AI to lie on their behalf. is there a way of knowing which ai is writing to our MCP server? ie. if its claude code, claude chat, claude cowork, codex, chatgpt etc? we need to be able to determine this so that we can deterministically determine which AI tools theyre using
The anti-lying constraint was a first-class design requirement, not a footnote. David wanted deterministic AI tool attribution at write time.