intruder-io/intruder-mcp
An MCP server to let AI agents control Intruder
Installation
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Documentation
Intruder MCP
Let MCP clients like Claude and Cursor control Intruder. For more information and sample use cases, please see our blog post.
Installation
There are two ways to use the MCP server:
- Locally on your machine with Python
- In a Docker container
All of these methods require you to provide an Intruder API key. To generate a key, see the documentation.
Running Locally
Install uv if it isn't already present, and then clone this repository and run the following from the root directory:
uv venv
uv pip install -e .
Then, add the following to your MCP client configuration, making sure to fill in your API key, and update the path to where you have cloned this repository:
{
"mcpServers": {
"intruder": {
"command": "uv",
"args": [
"--directory",
"path/to/intruder-mcp/intruder_mcp",
"run",
"server.py"
],
"env": {
"INTRUDER_API_KEY": "your-api-key"
}
}
}
}
Running in a Container
Add the following to your MCP client configuration, making sure to fill in your API key:
{
"mcpServers": {
"intruder": {
"command": "docker",
"args": [
"container",
"run",
"--interactive",
"--rm",
"--init",
"--env",
"INTRUDER_API_KEY=<your-api-key>",
"ghcr.io/intruder-io/intruder-mcp"
]
}
}
}
