MCP Intel

Active model —

LLM Configuration

Used for advanced threat detection. Accepts any OpenAI-compatible endpoint, including Azure AI Foundry.
Azure shortcut: paste the full deployment URL (with api-version) into the URL field and leave API Version blank.

URL

Base URL (e.g. https://api.openai.com/v1) or a full Azure deployment URL:
https://<resource>.openai.azure.com/openai/deployments/<deployment>/chat/completions?api-version=2025-04-01-preview

API Key

Deployment / Model

API Version (Azure only, optional)

Leave blank when the api-version is already in the URL above.

Auth Style

Auto-detect picks "api-key" for *.openai.azure.com and *.services.ai.azure.com endpoints.

Alternatively, set a .env file:
LLM_BASE_URL=https://...
LLM_API_KEY=your-key
LLM_MODEL=gpt-4o-mini
LLM_API_VERSION=2025-04-01-preview (Azure only)
LLM_AUTH_STYLE=api-key (or bearer)

LLM Threat Analysis

Re-run the LLM-based threats against the currently loaded servers using the saved settings above. Save settings first if you made changes.

Scrape MCP Servers

Paste URLs (one per line). Optionally append ,accountId,accountName. Only MCP servers and auth-gated endpoints will be added.

Upload from a folder instead

Select a folder containing scraped MCP server JSON files. Servers already in results will be skipped.

Customer Detection Rules

Servers matching any rule below are flagged as customers. Patterns are case-insensitive regular expressions, one per line.

Nameserver & RDAP Org Patterns

Matched against both the NS record hostnames (e.g. a1-1.akam.net) and the RDAP registrant org name (e.g. Akamai International, BV). A match on either signal flags the server as a customer. The default pattern akam covers Akamai CDN nameservers and Akamai-owned IP blocks.

URL Patterns

Matched against the full server URL (e.g. https://mcp.example.com/v1). Leave empty to disable URL-based detection.

Scan Current Servers

Re-apply the saved rules to all currently loaded servers and update results. Save first if you made changes.

MCP Intelligence Hub

Settings