# MCPStrike

> Use this tool when you need to automate penetration testing workflows by integrating large language models with standard security testing tools. It solves problems related to network scanning, vulnerability exploitation, privilege escalation, and report generation, providing 14 tools for comprehensive security testing. MCPStrike takes input from MCP clients over HTTP/JSON-RPC and outputs autonomous testing results, making it ideal for streamlining security assessments and identifying potential threats.

Canonical page: https://skillsregistry.net/skills/ente0-mcpstrike  
JSON: https://api.skillsregistry.net/v1/skills/ente0-mcpstrike

## Description

Integrates large language models with standard security testing tools through FastMCP to enable autonomous penetration testing workflows. Provides 14 tools covering network scanning, vulnerability exploitation, privilege escalation, and report generation. Uses Ollama as the LLM backend and exposes its server over HTTP/JSON-RPC for integration with MCP clients.

## Trust

- **Trust score (0–1):** 0.83
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/ente0-mcpstrike)
- **Repository:** <https://github.com/ente0/mcpstrike>

## 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": "ente0-mcpstrike"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ente0-mcpstrike` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ente0-mcpstrike/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