# AdaptixC2 MCP Server

> Use this tool when you need to integrate Large Language Model (LLM) agents with the AdaptixC2 framework for automated operations. It enables seamless interaction via the MCP protocol, solving automation and integration challenges. Ideal for use cases requiring LLM-driven process automation, the AdaptixC2 MCP Server accepts LLM inputs and outputs automated operation results.

Canonical page: https://skillsregistry.net/skills/faceless0x7-adaptixc2-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/faceless0x7-adaptixc2-mcp-server

## Description

Enables LLM agents to interact with and automate operations with the AdaptixC2 framework via the MCP protocol.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mm27j3bok8)
- **Repository:** <https://github.com/Faceless0x7/AdaptixC2-MCP-Server>

## 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": "faceless0x7-adaptixc2-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/faceless0x7-adaptixc2-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/faceless0x7-adaptixc2-mcp-server/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