$ loading_
Review code with reality checks, frontier models, and risk-based veto decisions.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "Verificate MCP" MCP server from askskill: Run: claude mcp add --transport http 'ai-verificate-mcp' 'https://mcp.verificate.ai/mcp'
Developers or DevOps teams can use it before release to review critical changes, identify high-risk issues, and recommend vetoing changes that should not be merged or deployed.
When reviewer time is limited, it can serve as an additional review layer, using frontier-model review and reality gates to improve the chance of catching issues.
When a team uses LLMs to write code, it can re-check generated output and focus on unrealistic assumptions, dangerous logic, and changes that should be blocked.
It is an MCP tool for agentic code review. The description says it combines reality gates, frontier-model review, and supports issuing a veto.
According to the description, no signup is required to try it. More details about access or limits are not provided.
The provided material does not include installation steps, dependencies, or configuration requirements. See the source repository for details.
Run multi-model code reviews with pass/fail verdicts to catch quality and risk issues.
Automatically review GitHub PRs with efficient, deep analysis using static checks and LAG.
Runs dual-model code reviews and synthesizes one unified report.
Run multi-model code reviews to surface bugs, security risks, and improvements.
Validate AI-generated code with browser tests, evidence capture, and smart diagnostics.
Verify LLM outputs in real time before they reach your workflow.