This MCP server acts as a bridge between large language models and the Cobalt Strike C2 framework by exposing the Cobalt Strike REST API endpoints as MCP tools. It enables AI assistants to discover, manage, and interact with beacons, payloads, listeners, and commands through standardized tool calls. You can invoke operations like listing beacons, executing commands on targets, generating payloads, and managing listeners via natural language prompts that map to the supported API endpoints.

To use this server, configure the environment and start the Python-based MCP server (cs_mcp.py) with the appropriate credentials for your Cobalt Strike API. Ensure the Cobalt Strike API server is running and accessible. Once running, connect an MCP client (or Claude Desktop integration) and utilize the exposed tools under categories such as Beacon Management, Commands, Payloads, and Listeners to perform tasks like querying beacon status, executing commands on beacons, uploading/downloading payloads, or creating and managing listeners.

Prerequisites:

• Python 3.8+ installed
• Virtual environment tool (venv) available
• Cobalt Strike API server running and accessible
• Internet access to install Python dependencies

Installation steps:

1. Clone the repository:

   git clone <repository-url> cd cobaltstrike-mcp-server

2. Create and activate a virtual environment:

   Windows

   setup.bat venv\Scripts\activate

   macOS/Linux

   ./setup.sh source venv/bin/activate

3. Install dependencies:

   pip install -r requirements.txt

4. Run the MCP server (example):

   python cs_mcp.py --username <cs_username> --password <cs_password> --insecure

5. Optional: Use a .env file for configuration by placing environment variables in a .env file and running:

   python cs_mcp.py

Tips and caveats:

• Ensure the CS API base URL, username, and password are correct to avoid authentication errors.
• Depending on your environment, TLS verification may need to be disabled for testing (CS_API_VERIFY_TLS=false) but enable in production.
• The MCP transport option controls how the MCP server communicates with clients (http, stdio, etc.); choose based on your deployment and client capabilities.
• If you upgrade Cobalt Strike or the MCP server, verify compatibility of the REST API endpoints and corresponding tool mappings.
• Use the --show-env option to inspect supported environment variables and their values at runtime.
• When using Claude Desktop integration, ensure the configured Python path and script path in the Claude config point to your active virtual environment where cs_mcp.py resides.