Custom Server Tools FAQs

Question 1

How do these tools enhance AI coding assistants?

Accepted Answer

They provide AI assistants (like Claude Desktop, CLI agents, IDE integrations) with a wide range of focused capabilities. This includes web scraping, media manipulation, data processing, HTTP requests, archive management, and system utilities, all without exposing sensitive workspace data.

Question 2

What are Custom Server Tools?

Accepted Answer

Custom Server Tools is a collection of production-ready Model Context Protocol (MCP) servers written in TypeScript. They are designed to extend AI coding assistants with reproducible tooling for diverse automation and utility tasks, communicating securely over stdio.

Question 3

What types of automation and utility tasks do these servers support?

Accepted Answer

The suite offers extensive functionalities such as creating/extracting archives, headless browser automation, performing HTTP requests, media processing (FFmpeg, yt-dlp, ImageMagick), HTML/JSON/Markdown parsing, secure file downloads, read-only workspace exploration, and time zone utilities.

Question 4

How do I integrate Custom Server Tools with an MCP-compliant client?

Accepted Answer

After building the desired server(s) (e.g., `npm run build`), you register them by adding an entry to your MCP client's configuration file (e.g., `claude_desktop_config.json`). You specify the Node.js command and the server's `server.js` path, then restart the client.

Question 5

Are the Custom Server Tools individually deployable?

Accepted Answer

Yes, each server within the Custom Server Tools collection is self-contained. This means each has its own `package.json`, source code, and compiled output, allowing you to build, deploy, and version them independently according to your specific project or workflow needs.

Custom Server Tools

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