The Draxis MCP Server
Every frame is drawn live in plain JavaScript on a canvas: hand-inked strokes, marker fills and line boil, all generated from code. Space plays or pauses, ← → seek, C toggles captions, F goes full screen.
Every frame is drawn live in plain JavaScript on a canvas: hand-inked strokes, marker fills and line boil, all generated from code. Space plays or pauses, ← → seek, C toggles captions, F goes full screen.
0:01 What if you could ask your security posture anything, right from the AI tools you already use?
0:07 The Draxis MCP server connects Claude, ChatGPT, Cursor and other MCP clients directly to your live risk data.
0:16 Sign in once with OAuth, pick the tenant on the consent screen, and every tool call is scoped to it and logged.
0:24 Read tools list your KRIs, controls, risks, vendors, assets and simulations. Write tools deliberately stop at ingestion.
0:34 Push KRI values from any system you run, even backfilling history with timestamps, so Draxis never has to touch production.
0:43 And board decks start from live numbers, with every figure traced back to where it came from, in the format your board expects.
0:51 Your posture, wherever you work.
0:54 Draxis. Don’t wait for the breach to read the signal.
On the platform page, the universal AI integration section shows the three ways Draxis connects. KRIs and sources documents pushing KRI values through the MCP server, and the API reference lists the endpoints behind it.
For how Draxis reads from vendor MCP servers as a client, see data access and integration security.
Overview · 1:04Read the Signal
Deep dive 1 · 1:00The KRI Pipeline
Deep dive 2 · 0:59The Cyber Risk Simulation Engine
Deep dive 3 · 0:59Early Warning & Draxis Axon
Deep dive 4 · 0:59The AI Security Advisor & Expert Panel
Deep dive 5 · 1:01The Partner Console for MSSPs
Deep dive 6 · 1:00NIST CSF & MITRE ATT&CK Mapping