Objective
This article explains how to connect AI applications to your technical content using nTop’s Model Context Protocol (MCP) server.Applies to
Developers and technical professionals using AI agents and the nTop knowledge base.Overview
The nTop MCP server provides tools that allow AI applications to search and retrieve information from the nTop knowledge base, learning center, and other guides. By using this server, you can integrate nTop’s technical documentation directly into your AI-driven workflows. Hosted MCP Server: https://docs.ntop.com/mcpAvailable Tools
The server exposes two primary tools to connected AI clients:- search_n_top: Use this tool to find relevant information, examples, and references. It returns contextual titles and direct links to documentation pages.
- query_docs_filesystem_n_top: Use this tool to run shell-like queries (such as ls, cat, or rg) against a virtualized filesystem containing nTop documentation.
Procedure
Please follow these steps to access and utilize the MCP server: 1. Access the Hosted MCP Server- Navigate to the Agents or MCP section in your application settings.
- Locate the Hosted MCP server URL.
- Use this URL to connect your AI application (e.g., Claude Desktop, Custom GPT, or a local agent) to nTop content.
- Use the search_n_top tool for conceptual queries (e.g., “How do I run an aircraft flow analysis?”).
- The tool returns a list of relevant paths, such as /knowledge-base/fluids/how-to-run-an-aircraft-flow-analysis.
- Identify the file path returned from your search
- Append .mdx to the path.
- Use commands like head or cat to read the file.
- Example: cat /knowledge-base/fluids/how-to-run-an-aircraft-flow-analysis.mdx
- If you need to find specific technical requirements (like GPU compatibility) across multiple files, use the rg (ripgrep) command.
- Search first: Always use search_n_top before querying the filesystem to find the exact path.
- Batch reads: We recommend reading multiple sections in a single call using head or cat when possible.
- Use targeted queries: Prefer rg -C (context search) or head over broad cat commands on large files to keep output under the 30KB limit.

