Overview

Intruder MCP is a lightweight server that bridges AI assistants such as Claude and Cursor with the Intruder platform, an AI‑driven workflow automation tool. By exposing Intruder’s API through the Model Context Protocol, developers can let an AI assistant trigger complex workflows, manage tasks, and retrieve results directly from the chat interface. This eliminates the need for manual API calls or custom UI integrations, allowing conversational agents to act as a single point of control over automated pipelines.

The server solves the problem of disconnected AI and automation tools. Many teams build custom scripts to call Intruder endpoints, but these are brittle and hard to maintain. Intruder MCP standardizes the interaction through a consistent set of resources, tools, and prompts that any MCP‑compliant client can discover. As a result, developers can prototype new use cases quickly: an assistant can ask the user for a task description, translate it into an Intruder workflow, run it, and return the outcome—all without leaving the chat.

Key capabilities include:

• Resource discovery: The server lists available Intruder workflows, data sources, and triggers. Clients can query this catalog to build dynamic UIs or generate prompts on the fly.
• Tool execution: Each workflow is exposed as a callable tool. The assistant can pass parameters, start the run, and poll for status or results.
• Prompt templates: Pre‑defined prompts help the assistant frame user requests in a way that maps cleanly to Intruder actions, reducing misinterpretation.
• Streaming responses: As workflows progress, the server streams updates back to the client, enabling real‑time feedback in the conversation.

Typical use cases span a broad spectrum:

• Data pipelines – An assistant can ask for a data cleaning request, translate it into an Intruder workflow, and deliver the processed dataset to the user.
• CI/CD automation – Developers can trigger deployment pipelines or run tests through conversational commands, receiving logs and status updates instantly.
• Business process automation – Non‑technical users can initiate customer onboarding flows or invoice approvals by simply describing the desired outcome.

Integration into existing AI workflows is straightforward. Once the MCP server is running—whether via Smithery, a local Python environment, or Docker—the client only needs to add the server configuration and supply an Intruder API key. From there, any MCP‑aware assistant automatically discovers the available resources and can invoke them as part of its natural language understanding loop. The result is a seamless, conversational interface that turns complex automation into a simple chat experience.

Unique advantages of Intruder MCP include its modular design (easy to extend with new Intruder features), zero‑code client integration (no custom SDK required), and its focus on real‑world productivity by connecting AI assistants directly to the workflows that power daily operations.