Security That Lives Inside Your Tools
Trent isn’t another dashboard to check. It plugs into your IDE, your AI app builder, and your agent runtime over MCP, then scans, prioritizes, and fixes from inside the workflow you already use. Don’t have code yet? Point it at a URL or an idea.
One Context Layer
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Trent Context Layer
Continuously Unified
Works With & Within Your Stack
Trent connects to coding agents over MCP (remote or local), runs as a skill inside OpenClaw, and takes your repo, live URL, or design docs directly.
Coding Tools
Bring Trent into the editor or agent where you write code. It reviews and fixes as you build.
These are featured clients, not the full list. Trent supports MCP-compatible clients; if your tool speaks MCP, it can connect to Trent.
AI Agents
Trent runs inside your agent runtime and reports back in the same chat.
Tools
Point Trent at where your code and your app live. Connect a repository and Trent keeps scanning as your project changes, or assess a live app from just its URL, no code access needed.
Context
Give Trent more to reason with. Add design docs, specs, or compliance requirements and findings get weighed against how your app is meant to work, even before the first line of code.
Security Inside Your IDE and AI Tools
Trent’s MCP server runs inside Claude Code, Open AI’s Codex, Lovable, Cursor, and most MCP-capable editors. Review the security of an idea even before a line of code exists, scan your repo, and apply prioritized fixes without leaving your coding environment.
- Local or remote MCP:
pip install trentai-mcpand run setup, or connect remotely with one API key - Security review on ideas and design docs, before the code is written
- Scan, prioritize, and mitigate from inside your editor
- For OpenClaw, findings render right inside OpenClaw, where you already work
Secure what you build, wherever you build it.
Connect Trent to your IDE, your app builder, or your agent runtime, or just point it at a URL. Either way, security runs from the first idea to every deploy.