Solutions
Use case
Your agent writes the code. Revelara checks it against real outages.
A coding agent has read every reliability blog post and none of your outages. Revelara gives it the incident record, and a gate it cannot talk its way past.
In your coding agent
/scanRun a risk scan on your codebase/askUnderstand a finding before you act on it/fixGet remediation guidance for a specific risk/risksSee open risks for the current project
A gate the agent can work against
An agent in a commit loop fixes one finding and then meets the next. It can only commit when the gate says clean, and that only works if the gate gives the same answer every time. The rvl gate is deterministic for this reason.
The change is still in the working tree when the finding appears, so the agent fixes it on the spot.
Evidence in the loop, not in a dashboard
Over MCP, the agent can search real incidents, read your open risks, and look up the control that addresses a finding, while it works. It grounds the decision in what has failed before, and not in general advice.
Connect from Claude Code
$ claude mcp add --transport http revelara https://api.revelara.ai/mcp --header "Authorization: Bearer pk_live_YOUR_KEY"
IncidentsKnowledgeRisksControlsGraphCatalog
Six tool groups. Every tool is read-only, and every result is scoped to your organization.
Works in the agent you already use
Revelara installs into your coding agent over MCP, plus a CLI and editor plugins. There is no new place to log in.
Works over MCP
Claude CodeCursorGitHub CopilotGoogle Gemini CLIOpenAI CodexWindsurfClineContinueGooseWarpand 12 more
Run your first scan free.
Install the CLI, scan a repo, and read the findings in your terminal. Your source code stays on your machine.