# OPTIX: Operational Platform for Threat Intelligence Exploration

> Use this tool when you need to streamline threat intelligence operations and automate tasks such as querying threat feeds, managing watchlists, and generating detection rules. OPTIX provides a user-friendly interface for AI assistants and programmatic consumers to access 26 analyst-friendly tools, eliminating the need to understand complex internal REST APIs. It is ideal for use cases involving threat intelligence exploration, incident response, and security operations, accepting inputs such as IOCs and threat feeds, and producing outputs like intelligence reports and detection rules.

Canonical page: https://skillsregistry.net/skills/optix-optix  
JSON: https://api.skillsregistry.net/v1/skills/optix-optix

## Description

A standalone Python/FastAPI server that implements the Model Context Protocol (MCP) for the OPTIX threat intelligence platform. It exposes 26 analyst-friendly tools that AI assistants and programmatic consumers can use to query threat feeds, search documents and indicators, manage watchlists, triage IOCs, generate detection rules, trigger AI research, and produce intelligence reports — without needing to understand OPTIX's internal REST API. Operational Platform Threat Intelligence Exploration: OPTIX.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/optix/OPTIX)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "optix-optix"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/optix-optix` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/optix-optix/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt