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I’m building consensus.tools, an open source MCP server and workflow UI for AI decision reliability. It adds consensus checks, observability, and “decision firewalls” so multiple models or agents must agree before actions happen. Useful for PR reviews, workflows, and agent systems where bad AI decisions can break things. Still early, but the goal is simple: make AI outputs more trustworthy.
Consensus MCP BoardDecision firewall for AI code reviews and PR merges
Kai Cianfloneleft a comment
I built this because single AI agents often make inconsistent or risky decisions on code changes, especially in PR reviews where one hallucination or missed detail can ship bugs or vulnerabilities. The idea is simple: do not trust one model. Run multiple specialized agents in parallel and resolve the result through weighted consensus, with reputation scores improving over time. You can also add...
Consensus MCP BoardDecision firewall for AI code reviews and PR merges