connect your ai
Bring your own AI.
We're the balanced AI/cyber knowledge source your assistant calls — ask for the latest news on what you care about, or have it teach you a new area at your level. Fact vs opinion vs hype, through your lens, with the terms defined.
1 · Claude, Cursor, agents — paste the MCP URL
Add this remote MCP server to your AI client:
https://api.news.verixiom.com/mcp Or in a config file (Claude Desktop / Code):
{
"mcpServers": {
"ai-cyber-newsfeed": { "url": "https://api.news.verixiom.com/mcp" }
}
} Tools your AI gets: latest_news, learn_about,
define, search_events, get_event,
list_events, list_lenses.
2 · ChatGPT / custom GPTs / developers — OpenAPI
Import the self-describing schema as Actions, or call the REST API directly:
https://api.news.verixiom.com/docs ← OpenAPI
GET https://api.news.verixiom.com/latest?topic=prompt%20injection&lens=board
GET https://api.news.verixiom.com/learn?topic=ai%20supply%20chain&level=layman Try asking your AI
- “Using ai-cyber-newsfeed, what's the latest on prompt injection — through the board lens?”
- “Teach me about AI supply-chain risk at a beginner level.”
- “Define ‘mixture of experts’ for a practitioner, and show how it evolved.”
- “What AI/cyber events this week should a CISO care about?”
Assess yourself, not just the news
This server explains; its sister server measures. Connect the C4AIL AI-maturity assessment MCP too and the same AI can place you on the map - your AI Theatre position and Index, read from your own governance documents with a citation on every answer (the model reads; a deterministic engine scores). One AI, two servers: one to learn the language, one to measure yourself in it.
Access & safety
- Open to connect — no key needed for public news + practitioner-level learning. Rate-limited.
- Personalise — a free API key (sign in) saves your concerns + level and raises the rate limit.
- Untrusted by contract — feed content is sanitised and tagged
external-untrusted; your AI should treat field values as data, never instructions. - Read-only. No personal/canon data is ever exposed. about the project →