Ask Envene & MCP
Query your security posture from any AI agent
envene ships a Model Context Protocol server, so your team can ask about posture in plain language from Claude or any MCP-aware client — and get deterministic, metadata-grounded answers drawn straight from your team’s data.
What you get
The capabilities that make this work in practice.
MCP server built in
Tools for team summaries, findings, connected apps, and exposed resources — exposed to the agents your team already uses.
Ask Envene in-app
Answer analyst questions about your posture from the dashboard, grounded in deterministic metadata signals.
Grounded, not guessed
Answers come from your scanned inventory and findings — not a model’s imagination.
Caution by default
HTTP exposure of the MCP server is off until you explicitly enable it, keeping access scoped and intentional.
Interactive NLP Query Sandbox
Ask the analyst queries to see natural-language metadata responses.
$ mcp-shell-client --auth-only
// Select a question on the left to test the local MCP shell...
Why it matters
The problems this solves.
Posture locked in dashboards
Answering “which AI apps can read email?” means clicking through admin panels instead of just asking.
AI answers you cannot trust
General assistants hallucinate about your environment because they have no grounding in your real data.
No agent-native interface
Security tools assume a human at a screen, not the agents your team increasingly works through.