# Cobalt Strike MCP Server

> Use this tool when you need to integrate large language models with adversary simulation workflows, enabling AI-driven control of simulations through natural language inputs. It solves problems of manual workflow management and enhances automation in red team operations and threat simulations. The tool accepts natural language commands as input and outputs controlled adversary simulation workflows through the Cobalt Strike C2 framework.

Canonical page: https://skillsregistry.net/skills/cobalt-strike-cobaltstrike-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/cobalt-strike-cobaltstrike-mcp-server

## Description

Bridges large language models with the Cobalt Strike C2 framework, enabling AI assistants to control adversary simulation workflows through natural language.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hw5d9tcqnz)
- **Repository:** <https://github.com/Cobalt-Strike/cobaltstrike-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": "cobalt-strike-cobaltstrike-mcp-server"
    }
  }
}
```

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