# Vibehacker Metasploit MCP

> Use this tool when you need to automate exploitation, scanning, and session management tasks, and integrate Metasploit Framework capabilities into AI-driven workflows. It solves problems related to vulnerability assessment, penetration testing, and security research by providing a FastMCP-based interface for AI agents to interact with Metasploit capabilities. This tool is ideal for use cases requiring automated target scanning, payload generation, and exploitation, with inputs including target specifications and outputs including session management and vulnerability reports.

Canonical page: https://skillsregistry.net/skills/foolsec-vibehacker-metasploit-mcp  
JSON: https://api.skillsregistry.net/v1/skills/foolsec-vibehacker-metasploit-mcp

## Description

A FastMCP-based interface for Metasploit Framework, enabling AI agents to interact with Metasploit capabilities for exploitation, payload generation, target scanning, and session management.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/an46g2am4i)
- **Repository:** <https://github.com/foolsec/vibehacker_metasploit_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": "foolsec-vibehacker-metasploit-mcp"
    }
  }
}
```

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