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Fsext Mcp Server Typescript

@kurtzhi

Repository

About Fsext Mcp Server Typescript

A high-performance, secure, and production-grade Model Context Protocol (MCP) server built with TypeScript, providing comprehensive filesystem operations, advanced text search & replace, image processing, and Tesseract OCR capabilities. Designed for LLM agent integration, it deli

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "fsext-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "fsext-mcp-server"
      ]
    }
  }
}

Tools

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Overview

What is Fsext Mcp Server Typescript?

Fsext Mcp Server Typescript is a high-performance, secure, production-grade Model Context Protocol (MCP) server built with TypeScript. It provides comprehensive filesystem operations, advanced text search and replace, image processing via Sharp, and cross‑platform Tesseract OCR. Designed for LLM agent integration, it offers strict input validation, standardized responses, and multi‑transport remote deployment support.

How to use Fsext Mcp Server Typescript?

Run without installation using npx -y fsext-mcp-server (add --lock-root /your/workspace to restrict the accessible directory). For persistent use, install globally (npm install -g fsext-mcp-server) or locally (npm install fsext-mcp-server). Start with commands fsext-mcp-server-ts, fsext-mcp-server, fsext-ts, or fsext. Choose a transport via --transport stdio, --transport http, or --transport sse and optionally set host, port, and origin.

Key features of Fsext Mcp Server Typescript

  • Full filesystem CRUD with recursive directory replication
  • Streaming I/O for GB‑level files without full memory loading
  • Recursive text search with regex, preview lines, and in‑place replace
  • Image resize (aspect‑ratio lock), crop, and arbitrary‑angle rotation
  • WASM‑first Tesseract OCR without local engine installation
  • Strict input validation and unified success/error response structures

Use cases of Fsext Mcp Server Typescript

  • LLM agents performing safe file operations on a restricted workspace
  • Processing and searching large log files or codebases line by line
  • Editing text in multiple files with previews before applying changes
  • Extracting text from images via OCR for downstream AI analysis
  • Remote deployment with Streamable HTTP or SSE transports

FAQ from Fsext Mcp Server Typescript

What transports does Fsext Mcp Server Typescript support?

It natively supports three MCP transports: stdio (for local clients), SSE (legacy remote stream), and Streamable HTTP (modern bidirectional remote transport).

How do I install Fsext Mcp Server Typescript?

Install globally with npm install -g fsext-mcp-server or locally in a project with npm install fsext-mcp-server. You can also run it directly via npx -y fsext-mcp-server without installation.

Does Fsext Mcp Server Typescript require a local Tesseract installation?

No. The built‑in OCR uses a WASM‑first approach, so no local Tesseract binary or tessdata path is needed by default. Custom paths can be given if desired.

Can Fsext Mcp Server Typescript handle very large files?

Yes. It uses segmented text reading and chunked binary streaming for both reading and writing, avoiding full memory loading and supporting GB‑level files.

How do I restrict the server to a specific workspace?

Pass the --lock-root /path/to/workspace flag at startup. The server will reject operations outside that root directory.

Frequently asked questions

What transports does Fsext Mcp Server Typescript support?

It natively supports three MCP transports: stdio (for local clients), SSE (legacy remote stream), and Streamable HTTP (modern bidirectional remote transport).

How do I install Fsext Mcp Server Typescript?

Install globally with `npm install -g fsext-mcp-server` or locally in a project with `npm install fsext-mcp-server`. You can also run it directly via `npx -y fsext-mcp-server` without installation.

Does Fsext Mcp Server Typescript require a local Tesseract installation?

No. The built‑in OCR uses a WASM‑first approach, so no local Tesseract binary or tessdata path is needed by default. Custom paths can be given if desired.

Can Fsext Mcp Server Typescript handle very large files?

Yes. It uses segmented text reading and chunked binary streaming for both reading and writing, avoiding full memory loading and supporting GB‑level files.

How do I restrict the server to a specific workspace?

Pass the `--lock-root /path/to/workspace` flag at startup. The server will reject operations outside that root directory.

Comments

Basic information

Category

AI & Agents

Transports

stdio

Author

kurtzhi

Submitted by

Kurt Zhi

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