# PentQuiver MCP Server

> PentQuiver MCP Server — edglz-pentquiver. Use this tool when you need to streamline penetration testing with natural language interaction, enabling AI assistants to search and resolve over 2,800 security commands with argument templates. It solves problems of manual command lookup and execution, providing a comprehensive command library for efficient testing. The tool takes natural language inputs and outputs resolved security commands with populated templates.

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

## Description

Enables AI assistants to search and resolve over 2,800 security commands with argument templates, allowing natural language interaction with a comprehensive command library for penetration testing.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** security
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fxealiw1x9)
- **Repository:** <https://github.com/edglz/pentquiver>

## 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": "edglz-pentquiver"
    }
  }
}
```

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