Intruder MCP is an MCP server project officially provided by Intruder, designed to enable AI agents (such as MCP clients like Claude and Cursor) to control Intruder. With this server, AI agents can access Intruder's capabilities to identify, understand, and remediate security vulnerabilities in infrastructure.
In terms of purpose, the core goal of this project is to bridge the connection between AI agents and the Intruder platform, enabling AI clients to operate Intruder. According to the official description, this is an MCP server that lets AI agents control Intruder, and it provides a link to a blog post with more information and example use cases.
In terms of main capabilities, the material only states that as an MCP server it enables AI agents to control Intruder, and does not further list a specific feature set. The description about identifying, understanding, and remediating security vulnerabilities comes from its introductory text, but no more detailed capability description is provided.
In terms of usage, the official project provides two ways to run it: first, run it locally on your machine using Python; second, run it in a Docker container. All methods require the user to provide an Intruder API key, and the way to generate the key is described in the official documentation. The steps for local running are: first install uv (if not already installed), then clone the repository, and run the corresponding command in the root directory; then add the corresponding configuration in the MCP client configuration, fill in the API key, and update it to the actual path of the cloned repository. The container running method is to add the corresponding configuration in the MCP client configuration and fill in the API key. The material does not provide the specific installation commands or configuration code content.
In terms of applicable scenarios, it is suitable for users who already use Intruder and want to control Intruder through an MCP client (such as Claude and Cursor) in the manner of an AI agent. For specific application scenarios, refer to the official blog post, but the material does not elaborate on them.
In terms of limitations, an Intruder API key must be provided during use; local running requires installing uv and cloning the repository; container running requires a Docker environment. The material does not provide more information such as fees, pricing, platform support scope, performance, or effectiveness, and none is currently provided.
