> For the complete documentation index, see [llms.txt](https://help.nightfall.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://help.nightfall.ai/developer-api/nightfall_apis/nightfall-model-context-protocol-mcp-server.md).

# Nightfall Model Context Protocol (MCP) Server

The Nightfall MCP (Model Context Protocol) server enables AI assistants like Claude, ChatGPT, and Cursor to interact directly with your Nightfall security data. Instead of navigating dashboards or running API queries manually, you can use natural language to investigate violations, search for exfiltration events, review security posture, and take remediation actions.

**Key Benefits**

* **Natural Language Interface**: Ask questions in plain English instead of learning complex query syntax
* **Faster Investigations**: Get instant answers to security questions without switching between tools
* **Workflow Integration**: Access Nightfall data directly in your development and collaboration environments
* **Automated Analysis**: Let AI help you identify patterns, summarize findings, and recommend actions


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# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://help.nightfall.ai/developer-api/nightfall_apis/nightfall-model-context-protocol-mcp-server.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.