# Vulnerability Registry MCP Server

> Use this tool when you need to query a legacy vulnerability database using natural language, enabling efficient vendor lookup, vulnerability search, and risk analysis through six specialized tools. It solves problems of manual database searching and risk assessment, providing outputs such as relevant vendor information and vulnerability details. Ideal for security analysts, this tool streamlines vulnerability management by accepting natural language inputs and returning actionable data.

Canonical page: https://skillsregistry.net/skills/orcohen5-vulnerability-registry  
JSON: https://api.skillsregistry.net/v1/skills/orcohen5-vulnerability-registry

## Description

An MCP server that exposes a legacy vulnerability database as tools for LLM clients, enabling security analysts to query vulnerabilities using natural language through six specialized tools for vendor lookup, vulnerability search, and risk analysis.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qzlhhmjky6)
- **Repository:** <https://github.com/orcohen5/vulnerability-registry>

## 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": "orcohen5-vulnerability-registry"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/orcohen5-vulnerability-registry` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/orcohen5-vulnerability-registry/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