# watchTowr MCP Server

> Use this tool when you need to integrate vulnerability intelligence with AI agents, enabling real-time threat analysis and prioritization. It solves problems such as attack surface triage, dynamic reporting, and contextual prioritization by providing structured access to timely vulnerability data. Ideal for security teams, it takes in threat data and outputs actionable insights for LLM agents.

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

## Description

The watchTowr Platform MCP (Model Compatibility Protocol) Server acts as a real-time integration layer between watchTowr’s world-class External Attack Surface Management and Vulnerability Intelligence technology, and LLM agents, enabling seamless ingestion and understanding of newly discovered threats and exposures. 

Security teams can now equip AI agents with structured access to timely vulnerability data—empowering use cases from attack surface triage to dynamic reporting and contextual prioritization.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-24

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-08-24

## Source

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

## 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": "watchtowr-watchtowr-mcp"
    }
  }
}
```

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